Author SHA1 Message Date
zlwu a8ee0fcebd fix(mobile): polish finance remark dialog from approved Figma design
Use compact layout, independent buttons and keyboard-aware viewport; retain drafts on failure and block closing during save. Require Figma approval for future screens and dialogs unless explicitly waived.
2026-10-30 22:17:49 +08:00
cykj 5b1367c775 feat(oa): add permission-controlled shared finance remarks (#8)
Refs #7. H5 acceptance confirmed; approved test database migration verified. No release tag or deployment.
2026-10-30 13:44:33 +00:00
zlwu 802985dd99 docs(oa): record H5 acceptance and approved test database migration 2026-10-30 21:43:41 +08:00
zlwu 0e64b413ce feat(oa): add permission-controlled shared finance remarks to done center
Share one finance remark per approval instance across Web and mobile. Require the explicit permission and the current tenant user's own done task for every read and write; keep general instance responses free of financial remarks.

Add idempotent MySQL migration without automatic role grants, cross-end editors, isolated backend and frontend tests, and rollout requirements. Refs #7; platform validation and target database migration remain pending.
2026-10-30 20:42:05 +08:00
cykj 86df360f35 docs(agents): confirm application scope before implementation (#6)
Require clarification of unclear application scope before business changes; reuse confirmed scope and confirm shared API impact. Refs #4.
2026-10-30 10:33:05 +00:00
zlwu 0e98593671 docs(agents): confirm application scope before implementation
Ask which applications to change when task scope is unclear, reuse confirmed scope, and confirm shared API impact before expanding it. Refs #4.
2026-10-30 18:32:04 +08:00
cykj f12980a053 docs(agents): adopt test ownership and automatic issue completion (#5)
Record default Agent verification and explicit user acceptance, followed by authorized merge, push and issue closure. Refs #4.
2026-10-30 10:17:12 +00:00
zlwu 6356bdecc0 docs(agents): adopt test ownership and automatic issue completion
Default to agent validation followed by merge/push/close. Respect explicit user testing without running tests or builds, provide branch and runtime handoff, and resume completion on acceptance. Preserve separate release and service permissions. Refs #4.
2026-10-30 18:14:05 +08:00
cykj 05de8924b0 fix: 合并采集协议单地区经理负责人筛选修复 (#2)
用户已确认 Web 与小程序测试通过并授权合入 V2.0。Refs #1;合并后执行集成回归再关闭工单。
2026-10-30 10:02:59 +00:00
zlwu 3793dcdfac docs(agents): require Gitea issue intake and repair status updates
Create issues for new unnumbered development requests, read supplied issues before implementation and reuse the active issue for follow-ups. Report repaired, acceptance, merge and release states separately.
2026-10-30 17:52:45 +08:00
zlwu d1347e8cea fix(web): limit protocol managers to active region leaders
Provide tenant-scoped leader options for the Web protocol form, exclude ordinary members and retain historical names only for display. Default only to a leader of the selected region and prevent delayed requests from replacing manual choices.

Refs #1. Add backend option isolation and Web cascade regression coverage.
2026-10-30 17:47:43 +08:00
zlwu f6cfce3315 fix(market): restrict protocol managers to region leaders
Use a dedicated tenant-scoped active region leader list instead of all region staff. Preserve historical labels without offering them as choices and remove the ordinary-member default during region changes.

Refs #1. Add regression coverage for tenant isolation, inactive records, deduplication, historical labels and region cascades.
2026-10-30 16:11:17 +08:00
zlwu b6080571ff chore(sql): 清空历史数据库导出内容
移除 zkxw.sql 中的历史业务导出及连接信息,避免在当前版本继续携带业务数据;保留文件路径以兼容现有打包引用。该文件现为空,不再提供数据库初始化内容,空库部署仍需另行补齐并验证基线。
2026-10-30 10:02:31 +08:00
zlwu 7b28447e02 chore(skills): 引入工程协作技能并配置 Claude 引用
新增 27 个 mattpocock 技能及配套资源,补充来源锁定记录与 Claude 相对符号链接,使仓库内开发工具共享技能配置。
2026-10-30 10:02:24 +08:00
zlwu b220298f89 chore: 清理历史资料并规范工程目录与开发规则
为减少仓库噪声和重复规则,整理当前开发入口并移除已废弃资料。

- 精简根 AGENTS,补充四个应用规则与 README,统一规范入口
- 归整部署文件、SOP 原稿和参考资源,修正迁移后的脚本路径
- 取消虚拟环境、工具状态、业务导出及备份的跟踪,本机所需原件保留
- 移除停用的 graphify 配置、脚本与产物
- 删除历史业务文档、执行计划、OpenSpec 业务变更和移动 UI 原型
- 清理失效引用,历史细胞产品导入改为必须显式指定 --file

验证:git diff --cached --check、OpenSpec 严格校验、导入参数隔离检查 3/3 通过;
迁移文件完整性和现行链接已核对。未执行部署、业务数据导入或服务启停。
2026-10-29 23:08:29 +08:00
zlwu 8321246765 fix: 取消附件上传超时并放宽代理限制,避免慢网大文件上传中断。 2026-10-29 16:01:26 +08:00
zlwuandCursor 8020e667f1 fix: 多张大图并行上传时不再拆掉进行中的请求,并放宽附件上传超时。
审批附件在第一张成功后会重建上传组件,其余请求被取消并显示超时。现保留进行中的文件,附件请求与 Nginx 上传超时放宽到 5 分钟,存储写入不再堵住事件循环。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-29 10:42:07 +08:00
zlwuandCursor 50d56ce0bb chore: 添加仓库根目录实验室场景图 fmtp.png。
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-29 09:37:50 +08:00
zlwuandCursor 4efd423d2d chore: 同步提交后自动更新的知识图谱。
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-28 10:52:38 +08:00
zlwuandCursor 5e563a6669 fix: 子表保存改为就地同步,避免整批换 id 打断外键。
协议样本、生产产出和盘点明细按行更新并保留原 id;补齐存储证明质检预填、离职人员显示名,以及样本采集通知模板字段。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-28 10:51:53 +08:00
zlwuandCursor d66e55af65 fix: 小程序新增样本发微信通知,并放宽部分 Web 菜单强校验。
移动端协议保存后调度样本采集服务号通知;收款确认/储存证等写接口改为运营端登录即可。同步日期字段规范化与 OA 日期选择器复开修复。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-26 16:02:47 +08:00
zlwuandCursor 045ee8d0e3 fix: Drone 打包改用阿里云 Alpine 源,避免 apk 偶发失败
国内机访问 dl-cdn.alpinelinux.org 会 Permission denied,导致 bash/python3 装不上整包失败。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-26 11:18:58 +08:00
zlwuandCursor 4583c54568 chore: 同步 web-admin graphify manifest
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-26 11:02:43 +08:00
zlwuandCursor 5dad1bb0e3 fix: 协议子资源单事务保存,并补齐样本编码/OA/质检等近期能力
锁定缴费校验失败时整单回滚,避免样本半成功落库;前端禁止删除锁定缴费样本,改码走更正编码。同步落地样本更正、采集微信通知、OA提及未读、细胞产品套餐与相关迁移文档。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-26 11:02:25 +08:00
zlwuandCursor 19bc66ba45 docs: Drone runner 增加 hzdyjs 发版目录与 Maven 公共仓库挂载
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-24 11:39:47 +08:00
zlwuandCursor 076e892df9 fix: Drone 打包命令对自定义环境变量使用 $${},避免版本被预处理成空
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-24 11:09:24 +08:00
zlwuandCursor 07508e677b fix: Drone 流水线去掉与 runner 重复的 host volume 挂载
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-24 10:57:01 +08:00
zlwuandCursor bab304abd3 fix: Drone 打包步骤去掉 privileged,避免未 trusted 仓库被拒绝
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-24 10:53:05 +08:00
zlwuandCursor 6a9a8bddd6 fix: Drone 生产包镜像与文件名固定为 v1.1.0,便于现网部署
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-24 10:51:20 +08:00
zlwuandCursor c2c5078ee6 feat: Drone 仅在 tag 时打生产 Docker 交付包到 /root/zkxw-releases
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-24 10:44:42 +08:00
zlwuandCursor ef7ea3c190 docs: 补充 Drone 构建 swap 与 clone depth 说明
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-23 16:15:29 +08:00
zlwuandCursor 61fdb6ebcd fix: Drone web-admin 构建提高 Node 堆到 3GB 以降低 OOM
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-23 16:07:51 +08:00
zlwuandCursor 5651bcd85e fix: Drone 恢复默认 clone(depth=1),去掉慢速 apt 安装 git
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-23 16:02:01 +08:00
zlwuandCursor 17f3948dc7 docs: Drone 对外端口改为 18088
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-23 15:58:57 +08:00
zlwuandCursor 85f99ed757 fix: Drone 分步构建并限制 Node 堆,避免测试机 OOM
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-23 15:55:59 +08:00
zlwuandCursor b8b1631d46 fix: Drone 流水线去掉 pipefail,兼容 /bin/sh
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-23 15:35:55 +08:00
zlwuandCursor 97d73d835b fix: Drone 流水线改为自 clone,避免拉取 drone/git 失败
关闭默认 clone,使用预拉的 node:20-bookworm;文档补充 daoCloud 预拉步骤。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-23 15:27:49 +08:00
zlwuandCursor a51d4e10aa feat: 测试机 Gogs 对接 Drone CI,仅编译打包不部署
同机部署模板与 .drone.yml(web-admin/OA H5/backend 产物),入口端口 18080。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-23 15:14:09 +08:00
zlwuandCursor 33c24129b4 chore: 同步提交钩子更新后的知识图谱报告
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-22 09:23:35 +08:00
zlwuandCursor 063727a7d8 feat: 完善协议缴费分期、样本编码搜索与鸿蒙附件选择
支持移动端样本编码远程关键字检索、分期起始日刷新与鸿蒙微信附件选取,并同步收款账户选择、角色页与相关设计文档。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-22 09:23:17 +08:00
zlwuandCursor 6e2656f999 fix: 顺丰月结导出失败时只提示一次,且不把其它错误说成没有数据
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 22:16:12 +08:00
zlwuandCursor a81f177cb6 feat: 增加顺丰月结列表,支持导出、结算和补填运费
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 20:17:45 +08:00
zlwuandCursor 77e8c78cb6 fix: 移动端关联已有顺丰批次显示月结
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 20:08:13 +08:00
zlwuandCursor 9b34f9e1ba feat: 移动端和小程序的协议单、运费信息在选择顺丰时改为月结并填写单号
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 19:49:57 +08:00
zlwuandCursor 0fb3ee50e3 fix: 运费列表保留金额格式,空顺丰运费显示月结
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 19:31:11 +08:00
zlwuandCursor d259004f9d fix: 关联已有和协议查看里的空顺丰运费显示月结
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 19:23:33 +08:00
zlwuandCursor 9561f94074 feat: 网页配置顺丰运费时改为月结并填写顺丰单号
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 19:20:43 +08:00
zlwuandCursor afcb4e9ebe fix: 收款账户下拉在搜索无结果时不再说成没有账户
有账户但关键字未命中时显示无匹配数据,只有列表本身为空才提示暂无本人的收款账户。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 19:17:54 +08:00
zlwuandCursor 0506fe7e8a fix: 发起审批时说明当前用户还没有收款账户
两端选择器都只展示 options 接口返回的本人账户,空列表不再像是系统没有账户。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 19:13:30 +08:00
zlwuandCursor 545a4c5fc1 feat: 把顺丰月结菜单放在运费信息和缴费财务确认之间
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 19:08:43 +08:00
zlwuandCursor d37bb41948 feat: 收款账户管理页展示不可修改的所属人
列表和查看能看出登记人,编辑时只读,避免把账户转给别人。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 19:08:32 +08:00
zlwuandCursor f76ef8a6e5 feat: 发起审批时拒绝不属于发起人的收款账户
直接发起和草稿提交都走 start_instance,因此只在这一处核对账户归属。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 19:03:38 +08:00
zlwuandCursor 41e8d6f7c4 feat: 增加顺丰月结列表、结算和补填接口,市场端不能调用
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 18:54:16 +08:00
zlwuandCursor 7aa685840f feat: 收款账户选项只返回当前登记人并带上所属人姓名
发起校验能识别已删除、他租户和他人账户,编辑账户不会改掉 create_by。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 18:45:43 +08:00
zlwuandCursor bd669ea77e fix: 已结算运费在协议保存时拒绝取消关联
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 18:41:31 +08:00
zlwuandCursor 96468f3c48 test: 锁定收款账户按登记人过滤和发起归属校验
这些用例先失败,用来约束后续的选项接口和管理页展示。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 18:37:52 +08:00
zlwuandCursor 11a46bf1eb feat: 顺丰运费保存单号并清空金额,已结算批次禁止改关联
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 18:25:54 +08:00
zlwuandCursor d67965aae2 fix: 样本上的空运费按空返回,避免顺丰月结显示成 0
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 18:10:46 +08:00
zlwuandCursor dd00dba39c fix: 运费金额为空时返回空值,便于顺丰批次展示月结
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 18:08:11 +08:00
zlwuandCursor 92c59d67b4 feat: 为运费批次增加顺丰单号和结算字段,并补上顺丰月结菜单
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 17:58:43 +08:00
zlwuandCursor 9325f8cf61 feat: 抽出顺丰月结的单号、金额和结算规则,供网页与市场端共用
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-21 17:45:38 +08:00
zlwuandCursor ac8e471aca fix: align sample registration, freight scope, and OA datetime display
Let customer-service quick register write storage, certificate, and insurance separately without extra menu or data-scope checks. List freight by document data scope like the web admin, allow protocol staff outside the collection region, and pad OA datetimes to seconds so PC date pickers can show historical minute values.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-20 17:30:30 +08:00
zlwu 03fcc01d6d 提交 2026-10-17 17:36:14 +08:00
zlwuandCursor 3ceee48c00 style(web-admin): skin Fresh Mint info tags as barley soft.
Align page/dialog el-tag--info with mobile market neutral tags
(#fff7e8 / #9a7020) so storage-service pending states match H5.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-17 17:08:03 +08:00
zlwuandCursor 19dffbaa49 fix(mobile-oa-h5): skin market neutral tags as barley soft.
Map Element Plus info tones through Vant default and style them as
浅底大麦黄 so unpaid/pending tags stay visible and distinct from solid semantic tags.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-17 17:05:46 +08:00
zlwu be2226e4ca 提交 2026-10-17 11:46:53 +08:00
zlwuandCursor 48dcf991dc fix(mobile-oa-h5): finish storage-service tag tone parity for market details
Wire detail header statusTone for protocol/payment/freight/chase from the
registry mirror, stop hardcoding primary on nested tags, and map 已过期 to
warning so title and field colors stay consistent.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-17 11:27:29 +08:00
zlwuandCursor d355cd0640 feat(mobile-oa-h5): inline payment detail transfers aligned with web dialog
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-17 11:12:23 +08:00
zlwuandCursor c825c170e7 refactor(mobile-oa-h5): extract ScheduleTransferEditor for shared transfer UI
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-17 11:04:14 +08:00
zlwuandCursor 9de7f5456e refactor(mobile-oa-h5): allow transfer helpers to use payment contextId
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-17 10:56:43 +08:00
zlwuandCursor e2fee1d9c5 feat(mobile-oa-h5): open protocol from payment as readonly detail
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-17 10:55:59 +08:00
zlwuandCursor 80d238d31d feat(mobile-oa-h5): add payment-entry helpers for readonly protocol view
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-17 10:53:11 +08:00
zlwuandCursor 526c9029c8 fix(web-admin): rename presign collector label to 市场专员
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 17:45:30 +08:00
zlwuandCursor b545e5987c fix(web-admin): remove collector staff from payment confirm timeline
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 17:45:30 +08:00
zlwuandCursor d85c70a860 fix(web-admin): hide collector staff on research donation UI
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 17:45:30 +08:00
zlwuandCursor b76a7d65be fix(web-admin): hide collector staff on collection protocol UI
Retain silent collectorUserId defaults and edit hydration.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 17:45:30 +08:00
zlwuandCursor d998378e12 fix(mobile-oa-h5): rename presign collector label to 市场专员
Keep collectorUserId for convert-to-protocol mapping.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 17:44:41 +08:00
zlwuandCursor 90c1b83a54 fix(mobile-oa-h5): hide collector staff on protocol UI
Keep collectorUserId in form state as a hidden field with create defaults.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 17:39:39 +08:00
zlwuandCursor 75f00a6472 docs: add plan for hiding collector staff UI
Break down protocol/donation hide, presign rename to 市场专员, and silent collectorUserId write rules into TDD tasks.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 17:38:14 +08:00
zlwuandCursor 241dd2861c docs: specify hide collector staff UI with presign rename
Capture the agreed design: hide collector displays on protocol/donation/timeline, keep DB/API fields with silent defaults, and rename presign visible labels to 市场专员 while retaining collectorUserId for convert.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 17:33:59 +08:00
zlwuandCursor d29a18db86 chore(graphify): refresh graphs after OA bank receipt feature
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 16:58:44 +08:00
zlwuandCursor 3a148b2985 feat(web-admin): add bank receipt upload on OA done center
Show permission-gated upload action and wire the receipt dialog.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 16:58:24 +08:00
zlwuandCursor 6c8b8025d7 feat(web-admin): add OA bank receipt upload dialog
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 16:58:24 +08:00
zlwuandCursor 209fb7bff3 feat(web-admin): add OA bank receipt API clients
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 16:58:24 +08:00
zlwuandCursor e5ae28f0c7 docs(sql): seed oa:done:bank-receipt button permission
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 16:58:24 +08:00
zlwuandCursor 0402f797c0 feat(oa): expose bank-receipts GET/PUT with menu permission
Gate instance bank receipt APIs behind oa:done:bank-receipt.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 16:58:24 +08:00
zlwuandCursor b042266c5b fix(oa): stabilize bank receipt list order via order_num
Preserve PUT item sequence when create_time ties on replace.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 16:56:09 +08:00
zlwuandCursor 5e38dc1eca feat(oa): add bank receipt attachment service for instances
Store multiple bank receipts on biz_attachment keyed by instance id.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 16:49:33 +08:00
zlwuandCursor 00a315b61c docs(plan): OA done-center bank receipt upload implementation
Break the approved design into TDD tasks for service, API, SQL, and web-admin UI.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 16:47:18 +08:00
zlwuandCursor 35532eceee docs(spec): design OA done-center bank receipt upload
Capture approved approach A (biz_attachment + permission-gated dialog)
and the Fresh Mint HTML demo for the done-center upload flow.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 16:44:20 +08:00
zlwuandCursor a148961b55 feat(oa): add department filter on history list and export
Allow filtering OA history by initiator department including descendants, while keeping the existing all-history permission scope.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 16:23:18 +08:00
zlwuandCursor 6cd22b218d docs(plan): OA history department filter implementation
Break down backend tests, engine/API wiring, and web-admin filter UI into executable tasks.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 16:16:15 +08:00
zlwuandCursor 3ecd8f4a74 docs(spec): design OA history department filter
Add confirmed design for initiator-dept tree filter on the web-admin OA history list and export APIs.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-16 16:13:44 +08:00
zlwu 06d021807b 提交 2026-10-15 23:21:07 +08:00
zlwu ecde2ba07d 提交 2026-10-15 14:27:42 +08:00
zlwuandCursor b9d981d46b fix(mobile-oa-h5): finish tagType wiring for market detail sections
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-15 10:07:32 +08:00
zlwuandCursor 2b5f2f939c fix(mobile-oa-h5): align presign and freight tags with registry mirror
Use info for draft; full payMode codes; receptionSource/transportType colors.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-15 10:06:07 +08:00
zlwuandCursor 7ba336169a fix(mobile-oa-h5): align protocol and chase tags with registry mirror
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-15 10:01:43 +08:00
zlwuandCursor 79f9c8785b fix(mobile-oa-h5): align payment list/detail tags with registry mirror
Prefer progressStatus codes and explicit tagType over Chinese heuristics.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-15 09:57:21 +08:00
zlwuandCursor 87f1e9a4eb feat(mobile-oa-h5): add market status-tag registry mirror
Mirror Web status-tag-registry for market modules with resolveStatusTag and parity tests.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-15 09:52:54 +08:00
zlwuandCursor a7a5a914f1 fix(web-admin): align freight source and transport tags with registry
Use receptionSource and transportType tag types instead of hard-coded success/primary plain.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-15 09:51:26 +08:00
zlwuandCursor 920b432491 fix(web-admin): use registry tag types for protocol payMode and auditStatus
Align ProtocolViewDialog tags with status-tag-registry instead of hard-coded success/warning.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-15 09:50:45 +08:00
zlwuandCursor b592aaec2e feat(web-admin): add paymentScheduleStatus to status-tag registry
Lift schedule open/cleared/void labels from PaymentBySampleTab so Web and mobile share one source.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-15 09:47:18 +08:00
zlwuandCursor 012527ed35 docs: mark payment detail transfer display design as implemented
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 15:24:34 +08:00
zlwuandCursor 9d7a72673d feat(mobile-oa-h5): restyle payment schedule transfers as amount-first cards
Render schedule cards with metric grids and white transfer cards (amount, method·time, notes) in payment and protocol detail views.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 15:24:25 +08:00
zlwuandCursor 5ce18e56a0 docs: design payment detail transfer cards as white amount-first layout
Capture approved option A demo and implementation outline for schedule/transfer hierarchy in payment detail.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 15:17:21 +08:00
zlwuandCursor f045841f1a fix(mobile-oa-h5): drop duplicate pay-mode tag on protocol detail payment cards
Sample payment cards already show 缴费模式 in the field list; remove the redundant status tag beside the sample code title.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 15:11:02 +08:00
zlwuandCursor 82b8a9c1b2 fix(mobile-oa-h5): slim payment list card fields to a two-column grid
Drop protocol number, storage years, and discount amount; remove wide spans so summary fields sit two per row.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 15:08:49 +08:00
zlwuandCursor 6eafec3fa9 test(mobile-oa-h5): align payment Excel-column parity with periodBlocks
Assert installment amount labels on the list card and periodBlocks/footerFields in the presenter.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 15:03:29 +08:00
zlwuandCursor 321dd3ca43 feat(mobile-oa-h5): collapse payment installment rows on list cards
Render periodBlocks as independent expandable summary rows with footer totals after the period section.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 14:41:34 +08:00
zlwuandCursor 4e586e905b feat(mobile-oa-h5): present payment periods as collapsible periodBlocks
Stop flattening six installment field groups into list cards; emit periodBlocks and footerFields instead.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 14:40:00 +08:00
zlwuandCursor bbc24b7c73 docs: add implementation plan for payment card period collapse
Break down presenter periodBlocks, MarketListCard UI, CSS, and TDD steps.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 14:26:45 +08:00
zlwuandCursor 42dde4b0bc docs: design payment list card period collapse for mobile market H5
Spec and interactive demo for collapsing payment installments on list cards (summary row + expand details).

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 14:24:12 +08:00
zlwu 3950b5c334 提交 2026-10-14 12:32:03 +08:00
zlwuandCursor a2125374a8 fix(mobile-oa-h5): limit presign detail bottom bar to edit convert delete
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 12:13:23 +08:00
zlwuandCursor 6e190665c0 test(mobile-oa-h5): expect presign detail actions to be order-level only
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 12:12:59 +08:00
zlwuandCursor f040f579d1 docs: design presign detail bottom bar with order-level actions only
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 12:09:18 +08:00
zlwuandCursor e16afdee95 feat(web-admin): auto-submit paid earnest transfers after saving presign order
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 12:04:22 +08:00
zlwuandCursor e56d8d7f51 feat(web-admin): add presign save auto-submit helpers and silent finance submit option
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 12:02:24 +08:00
zlwuandCursor 0398cb3897 feat(mobile-oa-h5): auto-submit paid earnest transfers after presign save
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 12:00:48 +08:00
zlwuandCursor ee95036666 feat(mobile-oa-h5): add helpers to auto-submit dfj presign transfers on save
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 11:58:11 +08:00
zlwuandCursor b217ffcdca docs: design presign save auto-submit finance confirmation
Document frontend orchestration so saving a presign order submits all dfj earnest transfers on web and mobile.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 11:51:11 +08:00
zlwuandCursor e4ec917a03 style(mobile-oa-h5): JD-style left status dropdown on presign list
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 10:55:55 +08:00
zlwuandCursor 63f1d7c2f9 fix(mobile-oa-h5): remove reset button from presign list filters
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 10:53:33 +08:00
zlwuandCursor c767373a8f test(mobile-oa-h5): expect JD-style presign status filter without reset
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 10:51:17 +08:00
zlwuandCursor 8dd816ee1d docs: plan JD-style status filter for mobile presign list
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 10:49:47 +08:00
zlwuandCursor 1c53bcd226 docs: design JD-style status filter for mobile presign list
Remove the redundant reset button and adopt a left-aligned lightweight dropdown under the search bar.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-14 10:49:03 +08:00
zlwu f5c514c520 docs: plan complete mobile market parity implementation 2026-10-13 19:41:55 +08:00
zlwu f5daab0d44 docs: define complete mobile market parity scope and boundaries 2026-10-13 19:37:15 +08:00
zlwuandCursor a7b8560f5f feat(mobile-oa-h5): integrate sample payment panel into protocol form
Validate and persist samplePayments on cell_storage protocol save.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 15:30:22 +08:00
zlwuandCursor 3354e66d82 feat(mobile-oa-h5): add ProtocolSamplePaymentPanel for mobile protocol forms
Mobile card UI for per-sample pay modes, schedules, and autofill rules.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 15:30:22 +08:00
zlwuandCursor 20a8bf538a feat(mobile-oa-h5): wire samplePayments into protocol payload and detail
Drop read-only payment stubs; detail shows per-sample payment cards.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 15:30:22 +08:00
zlwuandCursor 66e1c8334c feat(mobile-oa-h5): port protocol sample payment helpers
Share web-aligned installment autofill and mode-switch helpers for
mobile protocol forms.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 15:28:39 +08:00
zlwuandCursor be22c37196 feat(backend): persist and return samplePayments for market protocols
Mobile protocol create/update saves v2 per-sample payments; detail
includes samplePayments for edit hydration.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 15:23:24 +08:00
zlwuandCursor 9c61f36db8 feat(backend): accept samplePayments on market protocol body
Whitelist per-sample payment payload for mobile protocol create/update.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 15:21:07 +08:00
zlwu cc843535f5 提交 2026-10-13 15:18:01 +08:00
zlwuandCursor d08f03ab03 docs: add mobile protocol payment parity P1 implementation plan
Six TDD tasks covering backend samplePayments, shared helpers, and
mobile ProtocolSamplePaymentPanel integration.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 15:16:32 +08:00
zlwuandCursor 6d56572f8b docs: add mobile protocol payment parity P1 design
Phased plan to align mini-program protocol payment editing with
web SamplePaymentPanel while keeping admin actions closed.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 15:13:04 +08:00
zlwuandCursor 618d8fe21c feat(web-admin): wire fq last-period and dj deadline autofill in SamplePaymentPanel
Auto-recalculate the final installment due amount when earlier periods
change (with manual override), and sync lump-sum deadline to due date.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 14:53:11 +08:00
zlwuandCursor 6ec4ec6730 feat(web-admin): sync lump-sum deadline to last due date
Add applyLumpSumDeadlineToLastDueDate for dj payment schedules,
skipping locked or void rows.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 14:50:41 +08:00
zlwuandCursor 5fd5550e0d feat(web-admin): add last-period due amount calc helpers
Pure functions for fq auto-fill of the final installment amount
with override/lock gates, covered by unit tests.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 14:48:43 +08:00
zlwuandCursor 13ac45d10d docs: add protocol payment last-period autofill implementation plan
Bite-sized TDD tasks for SamplePaymentPanel fq/dj autofill helpers.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 14:44:51 +08:00
zlwuandCursor 0efcd6a6e5 docs: add protocol payment last-period autofill design
Document confirmed rules for fq last-period due amount auto-fill
and dj lump-sum deadline to due date sync in SamplePaymentPanel.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 14:43:07 +08:00
zlwuandCursor 08150167a8 docs: mark research donation list excel parity design as implemented
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 13:17:20 +08:00
zlwuandCursor 6c66eb164e chore: update backend graphify after monthly verify no
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 13:14:25 +08:00
zlwuandCursor 99e71096ac feat(mobile-oa-h5): align research donation protocol card with excel fields
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 13:14:09 +08:00
zlwuandCursor 0ab0774e8a feat(web-admin): align research donation audit list with excel columns
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 13:14:09 +08:00
zlwuandCursor aa231ea5f8 feat(web-admin): flatten research donation excel-parity list fields
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 13:14:09 +08:00
zlwuandCursor bee2c0d193 feat(backend): persist monthly verify no and expose research list fields
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 13:14:09 +08:00
zlwuandCursor 60efc5d5d3 feat(backend): allocate research donation monthly verify numbers
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 13:11:25 +08:00
zlwuandCursor e0ef78925a feat(db): add research donation monthly_verify_no column
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 12:05:54 +08:00
zlwuandCursor 56f379dd0c docs: add research donation list Excel parity implementation plan
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 12:05:10 +08:00
zlwuandCursor c22c9467f5 docs: add research donation list Excel parity design
Capture confirmed field mapping, monthly verify number rules, and Web/mini list scope before implementation.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 12:03:04 +08:00
zlwuandCursor 22a6e1f4e4 docs: add customer-service management design and plan; note mobile follow-up.
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 11:04:45 +08:00
zlwuandCursor efbf8f6ac9 feat: switch protocol view cert/insurance handle panels to sample level.
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 11:04:25 +08:00
zlwuandCursor 8cebb8e0b8 feat(web-admin): customer-service toolbar and Excel-aligned wide list columns.
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 11:02:11 +08:00
zlwuandCursor 1c225ec89d feat(web-admin): expand sample quick-register dialog for customer-service kinds.
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 10:59:39 +08:00
zlwuandCursor ad18204eb9 feat: rename sample-info menu label and extend quick-register client API.
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 10:58:23 +08:00
zlwuandCursor 9c264d7942 feat(backend): enrich cell-storage sample list with customer-service wide columns.
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 10:57:55 +08:00
zlwuandCursor aeadaa9919 feat(backend): extend sample-info quick-register for sms/followup/fulfillment/all.
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 10:56:41 +08:00
zlwuandCursor 50400ad19c feat(backend): write storage cert and insurance at sample level in quick-register.
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 10:52:45 +08:00
zlwuandCursor edabf70287 feat(backend): upsert sample customer-service fields with empty-skip merge.
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 10:50:36 +08:00
zlwuandCursor d676bfadd7 feat(backend): add customer-service dict list and ensure-on-write helpers.
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 10:47:11 +08:00
zlwuandCursor eee70e417c feat(backend): add models for customer-service and sample-level cert/insurance.
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 10:45:54 +08:00
zlwuandCursor da35921f58 docs(sql): add sample-level storage cert and insurance with migrate-from-protocol.
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 10:43:36 +08:00
zlwuandCursor 8618141c2f docs(sql): add customer-service tables and rename sample-info menu.
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-13 10:42:34 +08:00
zlwuandCursor af992b5680 fix: drop 付款确认中 from sample payment progressStatus
Sample-level 缴费进度 is now only 待缴费 / 部分已缴 / 已缴清.
Transfer jfqrz still blocks canConfirm but no longer surfaces as progress.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 18:26:36 +08:00
zlwuandCursor cc0b217c89 feat(mobile-oa-h5): align transfer payStatus labels with 付款 wording
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 18:10:14 +08:00
zlwuandCursor 727002761d fix(backend): align pay-status user messages with 付款 wording
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 18:10:14 +08:00
zlwuandCursor a5bf4252b9 chore: rename payment-confirm menu to 缴费财务确认
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 18:10:14 +08:00
zlwuandCursor a6f56f3453 feat(web-admin): rename transfer pay statuses to 付款 wording
Use 已付款/付款确认中/付款完成 for payStatus; keep period money
labels 应缴费/已缴费/欠缴费 unchanged.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 18:10:13 +08:00
zlwuandCursor c71bb5a11c fix(web-admin): align schedule paid/arrears with yjf-only rule
Period 已缴费 now counts only 付款完成 transfers, matching backend
summarize_period.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 18:10:13 +08:00
zlwuandCursor d2bb1e0fa1 test(backend): align market chase assertions with yjf-only paid
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 18:06:22 +08:00
zlwuandCursor b8b20dcebe fix(backend): count period paid amount as yjf only
Align displayPaidAmount/arrears with business rule: 已缴费 excludes
已付款 and 付款确认中 transfers.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 18:01:06 +08:00
zlwuandCursor a1be31c694 docs: add payment status and paid-amount semantics implementation plan
Break the confirmed spec into TDD tasks covering backend yjf-only paid
amounts, web/mobile label renames, and menu SQL migration.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 17:50:54 +08:00
zlwuandCursor 06a30ff658 docs: specify payment status labels and paid-amount semantics
Clarify transfer statuses (已付款/付款确认中/付款完成) vs period money
(应缴费/已缴费/欠缴费), with 已缴费 counting only yjf, and rename the
finance confirm menu.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 17:47:48 +08:00
zlwuandCursor 97bf67c962 feat(mobile-oa-h5): rename freight unlink action to 取消运费
Also include the two-button freight config/cancel design spec and plan.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 14:07:51 +08:00
zlwuandCursor f659ec602e feat(web-admin): align sample-freight page cancel UX with two-button rules
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 14:07:39 +08:00
zlwuandCursor 8c0cbb8ab8 feat(web-admin): gate protocol freight config and unify cancel dialog
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 14:07:07 +08:00
zlwuandCursor 75bae974e4 feat(web-admin): add shared freight unlink dialog
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 14:06:28 +08:00
zlwuandCursor d72e28959d feat(web-admin): add shared freight unlink dialog
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 13:49:18 +08:00
zlwuandCursor ce9d836194 feat(web-admin): add freight config sample partition helper
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-12 13:46:54 +08:00
zlwu 55e321f266 docs: document the market card overflow fix. 2026-10-11 16:22:20 +08:00
zlwu 54ec8e1cd1 fix: serialize mobile presign conversion amounts. 2026-10-11 14:02:20 +08:00
zlwu e0dc7f4cee fix: preserve mobile presign decimal precision. 2026-10-11 13:50:47 +08:00
zlwu f761c7021e fix: decouple mobile market API contracts from page routes. 2026-10-11 13:34:03 +08:00
zlwu 06255d1e41 fix: harden mobile presign contracts and authorization. 2026-10-11 13:22:04 +08:00
zlwu 0927a514d2 chore: add the mobile market contract dependency closure. 2026-10-11 13:14:56 +08:00
zlwu 0c4a2408ee docs: add the remaining mobile market parity demo. 2026-10-11 13:04:23 +08:00
zlwu a3a2ffcce0 fix: isolate mobile presign action scopes and transfer locks. 2026-10-11 12:59:22 +08:00
zlwu 7a750e7e81 docs: plan the remaining mobile market parity demo. 2026-10-11 12:51:26 +08:00
zlwu b28ed3e280 feat: add tested mobile presign contracts and form state. 2026-10-11 12:49:21 +08:00
zlwu 702ff0e074 docs: define the remaining mobile market parity demo design. 2026-10-11 12:49:19 +08:00
zlwu 81bda0cb79 fix: scope user organization labels to the current tenant. 2026-10-11 12:37:32 +08:00
zlwu 02d1e16036 fix: scope authentication roles to the current tenant. 2026-10-11 12:25:50 +08:00
zlwu 3f40caa1cd fix: enforce atomic presign status and action transitions. 2026-10-11 12:06:22 +08:00
zlwu 337d31bbe8 feat: integrate required mobile market backend dependencies. 2026-10-11 12:00:52 +08:00
zlwu 7e930c77fd feat: expose complete scoped presign actions to mobile clients. 2026-10-11 11:43:38 +08:00
zlwu 34bf9aa0dc fix: make mobile presign transitions concurrency-safe. 2026-10-11 11:31:24 +08:00
zlwu c5c7e42feb fix: make mobile presign transitions concurrency-safe. 2026-10-11 11:17:06 +08:00
zlwu 8453c9c805 feat: enforce scoped presign deletion and transfer workflows on mobile. 2026-10-11 10:56:06 +08:00
zlwu e8e278be86 docs: plan verified mobile presign parity implementation. 2026-10-11 10:45:55 +08:00
zlwu 99bd4749ea docs: define mobile presign parity design for consistent market workflows. 2026-10-11 10:42:33 +08:00
zlwu d20b9f5a20 docs: record backend graph verification constraints. 2026-10-11 10:25:58 +08:00
zlwuandCursor 3018d05bc4 feat(mobile-h5): show non-prod env stripe on home
Render a short local/test banner above the green header
so the active APP_ENV is obvious before WeChat upload.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-11 10:09:21 +08:00
zlwu 7a6d804cfa fix: honor order numbers in protocol workflow lists. 2026-10-11 10:08:40 +08:00
zlwuandCursor a47a7db7dc feat(mobile-h5): export ENV_BANNER from APP_ENV
Add buildEnvBanner so the homepage can show a non-prod
stripe without hardcoding environment labels.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-11 10:01:42 +08:00
zlwuandCursor f5c999f633 docs: plan mobile-h5 non-prod env banner implementation
Break the approved homepage stripe into TDD tasks for
config mapping and the index page UI.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-11 10:00:33 +08:00
zlwuandCursor 8c82f6a6dd docs: add mobile-h5 non-prod env banner design
Capture the approved homepage top-stripe approach so local/test
builds are visually distinct before WeChat upload.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-11 09:59:51 +08:00
zlwu 28990e66be test: align API crypto coverage with the AES-GCM protocol 2026-10-11 09:53:48 +08:00
zlwu 5a24f3b433 docs: plan the backend baseline test failure fixes. 2026-10-11 09:49:22 +08:00
zlwu b2ea79710c docs: describe how to resolve the existing backend test failures. 2026-10-11 09:47:52 +08:00
zlwuandCursor daace3ff74 docs: note OA-style UI and placeholder market menu icons
Record that market H5 pages follow OA approval UI patterns, and specialist/manager storage menu icons stay empty until assets are provided.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-10 22:03:35 +08:00
zlwuandCursor 8ef8981d71 docs: revise market miniapp design for split menus and mobile-oa-h5
Separate specialist/manager menu trees under 移动端菜单, host business pages in mobile-oa-h5 via web-view, and scope data per entry role.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-10 21:45:26 +08:00
zlwuandCursor b0a4b94d7d docs: add market miniapp role feature design for specialist and region manager
Capture confirmed data scopes, shared module matrix, freight redaction, and non-goals for the on-site mini program.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-10 21:43:16 +08:00
zlwuandCursor db31990ebe feat: 细胞存储缴费催缴、统一样本信息与协议支付能力增强
汇总近期业务改动:催缴菜单与后端、样本信息快捷登记与进度、运费关联、客户档案扩展、协议优惠/期次与押金划转,并同步 SQL 迁移与管理端页面收敛。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-10-10 21:20:37 +08:00
5424 changed files with 96517 additions and 2310618 deletions

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# Phase boundaries
A **phase** is a chunk of work inside a session: the grilling, the implementation, the QA. The definition is fuzzy on purpose: a phase ends when you think *"ok, we're done with that"*.
The **phase boundary** is the gap between two phases, and it is the only place this decision belongs. Mid-phase there is no decision to make: continue, or split the work that's left into subagents. Compacting mid-phase makes the agent lose the thread.
## The five options
| Option | What it does |
| ------------ | --------------------------------------------------------------- |
| **Continue** | Stay in the session. No context switch at all. |
| **`/clear`** | Empty the context window and start from nothing. |
| **`/handoff`** | Write a portable markdown file and seed a session anywhere with it. |
| **Subagent** | Send the task to its own context window and get a report back. |
| **`/compact`** | Compress this context and seed a fresh session with the summary. |
## The tree
Work top to bottom at the boundary. The first **yes** wins.
**1. Can you continue in this session?** Two things make the answer yes: the next phase needs this phase as a **primary source**, or you have enough [smart zone](https://www.aihero.dev/ai-coding-dictionary/smart-zone) left (~150k tokens) for the next phase to fit. Grilling → implementation is the standard yes: the implementation wants the reasoning verbatim, not a summary of it. Continue costs nothing and loses nothing, so rule it out before anything else.
**2. Is the context irrelevant to what comes next?** Is everything in this session (the exploration, the decisions, the dead ends) disposable? If so, **`/clear`**. It is the cheapest move on the board: it takes no time and hands back the whole window. `/clear` also isn't terminal: the old session stays resumable.
The cost of getting this wrong is one-way. Clear a *relevant* context and you lose the **why** behind what you built, and no amount of reading the diff back gets it returned.
**3. Do you need to hand off?** `/handoff` is narrow. You need it only when you are:
- swapping to a **new harness** (Claude → Codex),
- moving to a **new directory** or repo,
- sending the work to a **colleague**,
- or forking a side task you found **mid-phase** without derailing what you're doing.
That list is the whole clause. What `/handoff` buys is **portability**: a file that travels. If nothing is travelling, you don't need it.
**4. Can the task be done AFK?** Is it scoped tightly enough to run with you away from the keyboard, no steering? Then send it to a **subagent** and leave this session untouched. Automated review is the standard case: the agent reads the diff and reports, and you aren't needed while it does.
**5. Otherwise, `/compact`.** Relevant context, same harness, same directory, and you need to stay in the loop: this is where the tree lands, and it lands here often. Pass it an instruction (`/compact we're going to QA this area`) so the summary keeps what the next phase needs.
`/compact` is the **default, not the first reach**. It sits at the bottom because the four questions above it are all cheaper or more precise. The failure mode when people start here is a fresh session that is confidently wrong about a decision the summary flattened.
## Primary and secondary sources
Every move except **Continue** turns a **primary source** into a **secondary source**: the session as it happened, replaced by a summary of it. The trade is always the same shape:
| Source | Information | Noise | Room to move |
| --------------------------------- | ----------- | ----- | ------------ |
| Primary (Continue) | Full | Lots | Little |
| Secondary (`/compact`, `/handoff`) | Lossy | Less | Lots |
This is why question 1 comes first. You only pay the lossiness when staying costs more than it saves.
## These are judgement calls
The questions are not objective: each has taste in it, and the same boundary can go two ways on two days. The value is in asking them **in order**, at the boundary rather than in the middle of the work.
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---
name: ask-matt
description: Ask which skill or flow fits your situation. A router over the skills in this repo.
disable-model-invocation: true
---
# Ask Matt
You don't remember every skill, so ask.
Before stating what a skill does or recommending a step be skipped, read that skill's SKILL.md: the summaries here are for orientation only.
A **flow** is a path through the skills. Most paths run along one **main flow**, and two **on-ramps** merge onto it. Everything else is standalone, or a vocabulary layer that runs underneath.
## The main flow: idea → ship
The route most work travels. You have an idea and want it built.
1. **`/grill-with-docs`** sharpens the idea by interview. Start here whenever you are **working in a working directory**: it's stateful, retaining what it learns in `GLOSSARY.md` and ADRs. (No working directory? Use `/grill-me` instead, covered under Standalone. Both run the same `/grilling` primitive; `grill-with-docs` is the one that leaves a paper trail, which makes it the better of the two whenever a repo is there to leave it in.)
2. **Branch: can you settle every question in conversation?** If a question needs a runnable answer (state, business logic, a UI you have to see), detour through a prototype, bridged by **`/handoff`** in both directions (a prototype lives in its own directory, which is exactly what `/handoff` is for; see Phase boundaries):
- **`/handoff`** out, then open a fresh session against that file,
- **`/prototype`** to answer the question with throwaway code,
- **`/handoff`** back what you learned, and reference it from the original idea thread.
3. **Branch: is this a multi-session build?**
- **Yes** → **`/to-spec`** (turn the thread into a spec), then **`/to-tickets`** to split it into tracer-bullet tickets, each declaring its **blocking edges**. Then work the tickets one of two ways:
- **`/implement`** per ticket, **`/clear`ing context between each one**. On a local tracker that's one file per ticket under `.scratch/<feature>/issues/`, worked blockers-first by hand; on a real tracker the edges become native blocking links, so any ticket whose blockers are done can be grabbed. Each ticket is self-contained, so the last one's context is disposable.
- **`/implement-spec`** for the whole spec in one run. It reads the tickets as a **task graph**, runs implementer subagents across the ready **frontier** in parallel, and lands everything on one **integration branch**. Reach for it when you'd rather orchestrate the build than drive each ticket yourself.
- **No** → **`/implement`** right here, in the same context window.
Either way, the code gets built by driving **`/tdd`** (one red-green slice at a time) and closes out with **`/code-review`**, a two-axis review (Standards + Spec) of the diff. `/implement` runs both per ticket; `/implement-spec`'s implementers each drive `/tdd`, and it runs one `/code-review` over the integration branch. Reach for **`/tdd`** on its own when you just want to build a concrete behaviour test-first without a full spec, and **`/code-review`** on its own whenever you want to review a branch or PR against a fixed point.
When the work goes up as a pull request, **`/pr`** shapes the body: the smallest visual that shows the change, before/after evidence that it works, and a one-way or two-way door call. It's model-invoked, so the agent reaches for it whenever it writes a PR.
4. **`/retro`** closes the loop. After a build, and especially one that went sideways, it looks back over the session and suggests changes to the agent's **environment**, not the code: navigation pointers, automated checks, the coding standards `/code-review` enforces, steering files, tooling. Mechanical mistakes become deterministic checks; judgement calls become coding standards. The next build then starts from a better environment.
### Context hygiene
Keep steps 1–3 in **one unbroken context window** (don't compact or clear until after `/to-tickets`) so the grilling, spec, and tickets all build on the same thinking. Each `/implement` then starts fresh, working from the ticket. Run `/retro` in the session it's looking back on, before you clear; after clearing, point it at that session's log instead.
The limit on this is the **[smart zone](https://www.aihero.dev/ai-coding-dictionary/smart-zone)**: the window (~150k tokens on state-of-the-art models) within which the model still reasons sharply. If a session approaches it before `/to-tickets`, don't push on degraded; `/compact` at the nearest phase boundary and carry on (see Phase boundaries).
## On-ramps
A starting situation that generates work, then merges onto the main flow.
- **Bugs and requests piling up** → **`/triage`**. It moves issues through triage roles and produces agent-ready issues, which **`/implement`** later picks up.
Triage is only for issues **you didn't create**: bug reports, incoming feature requests, anything that arrives raw. Tickets that `/to-tickets` produced are already agent-ready, so **don't triage them**.
- **Something's broken** → **`/diagnosing-bugs`**. For the hard ones: the bug that resists a first glance, the intermittent flake, the regression that crept in between two known-good states. It refuses to theorise until it has a **tight feedback loop** (one command that already goes red on *this* bug), then fixes with a regression test. Once the fix is in, run **`/retro`** in the same session to ask what would have prevented the bug; where the real finding is that there's no good seam to lock it down, that's a job for **`/improve-codebase-architecture`**.
- **A huge, foggy effort: a greenfield project or a huge feature build, too big for one session** → **`/wayfinder`**, the most cognitively demanding flow here. When the way from here to the destination isn't visible yet, it charts a **shared map** of **decision tickets** on the issue tracker and resolves them one at a time, producing **decisions, not deliverables**, until the fog is pushed back and the way is clear. Where **`/grill-with-docs`** sharpens an idea you can hold in one session, wayfinder is for the idea you can't, and it's slower and denser, so save it for exactly that, never a well-scoped feature.
When the map clears, **it hands off, it doesn't build**: merge onto the main flow at **`/to-spec`**, which collapses the map's linked decisions into a buildable plan, then `/to-tickets` and `/implement` as usual. Looping the map straight into `/implement` skips that collapse and throws the linked detail away, so go straight to `/implement` only when the effort turned out genuinely small.
## Codebase health
Not feature work, just upkeep.
- **`/improve-codebase-architecture`** runs whenever you have a spare moment to keep the codebase good for agents to operate in. It surfaces **deepening opportunities**; picking one _generates an idea_ you can take into the main flow at `/grill-with-docs`. It's the survey that finds the candidates; **`/codebase-design`** (below) is the bench you design the chosen one on.
## Vocabulary underneath
Two model-invoked references that run *beneath* the other skills, each the single source of truth for its vocabulary. Reach for them directly when the **words**, not the process, are the problem; or let the skills above pull them in.
- **`/domain-modeling`**: sharpen the project's *domain* language: challenge a fuzzy term, resolve an overloaded word ("account" doing three jobs), record a hard-to-reverse decision as an ADR. It's the active discipline `/grill-with-docs` drives to keep `GLOSSARY.md` a clean glossary.
- **`/codebase-design`** is the deep-module vocabulary (module, interface, depth, seam, adapter, leverage, locality) for designing a module's *shape*: a lot of behaviour behind a small interface at a clean seam. `/tdd` and `/improve-codebase-architecture` both speak it.
## Phase boundaries
A **phase** is a chunk of work inside a session: the grilling, the implementation, the QA. At the **boundary** between two of them you have five options, and picking between them is the fuzziest decision in this whole map:
- **Continue**: stay put. Costs nothing, loses nothing.
- **`/clear`**: empty the window, when nothing here matters to what's next.
- **`/handoff`** writes a portable markdown file. Narrow: only for a **new harness**, a **new directory**, a **colleague**, or forking a side task **mid-phase**. What it buys is portability.
- **Subagent**: send a tightly-scoped task to its own window and get a report back.
- **`/compact`** compresses this context and seeds a fresh session with it. The **default**, at the bottom of the tree rather than the first reach.
Read [PHASE-BOUNDARIES.md](PHASE-BOUNDARIES.md) for the ordered tree: the five questions, the reasoning behind each branch, and why the primary-source cost makes **Continue** the one to rule out first. Make the decision **at** a boundary; mid-phase, continue or split the rest into subagents.
## Standalone
Off the main flow entirely.
- **`/grill-me`**: the same relentless interview as `/grill-with-docs`, but **stateless**: it saves nothing locally and builds no `GLOSSARY.md`. Reach for it when you are **not working in a working directory** (sharpening a plan, a design, a piece of writing, anything with no repo under it). If you are in a working directory, use `/grill-with-docs` instead: it runs the same interview and leaves a paper trail, so it is strictly the better one.
- **`/grilling`** is the interview primitive itself: rounds, the frontier, facts are the agent's job and decisions are yours. `/grill-me` and `/grill-with-docs` are the two named ways in, and `/triage`, `/wayfinder` and `/improve-codebase-architecture` all run it internally. Reach for it directly only when you want the interview with no wrapper around it.
- **`/prototype`** is a small, throwaway program that answers one design question: does this state model feel right, or what should this UI look like. Throwaway is a constraint on how the code is written, not a promise to destroy it: the answer folds into the real code, and the prototype itself is kept as a **primary source** on a `prototype/<name>` branch out of main, pointed at from the implementation issue. It's the detour in step 2 of the main flow, but reach for it any time a design question is hard to settle on paper.
- **`/research`**: delegate reading legwork to a **background agent**: it investigates a question against **primary sources**, then leaves a cited Markdown file in the repo. Keep working while it reads. The file it produces is something to take *into* the main flow at `/grill-with-docs`, since research feeds the thinking rather than replacing it.
- **`/to-questionnaire`** comes in when the thing blocking you isn't in your head or the codebase but in **someone else's**, and it writes them a questionnaire to fill in. It's the inverse of `/grill-me`: instead of interviewing you about the subject, it interviews you about the **send** (who it's going to, what you need back) and aims the questions at the gap. What comes back is material for `/grill-with-docs` or `/to-spec`.
- **`/wizard`** is for the steps only a **human** can take: provisioning infrastructure, setting up credentials or CI secrets, clicking through an unfamiliar third-party dashboard, running a one-off migration or cutover. It generates an interactive bash script that opens each URL, captures each value, and writes it into `.env` and GitHub secrets, so the procedure stops being something you re-explain to an agent every time. Model-invoked, so the agent reaches for it the moment it hits a wall only you can pass. If the agent could just do it itself, it should; this is for where a human is genuinely in the loop.
- **`/wait-what`** is the corrective for a message that didn't land. Use it mid-conversation, inside any other skill, and the agent re-pitches what it just said with the context you were missing, in plain English, using the `GLOSSARY.md` vocabulary. It works after the fact; `/grill-with-docs` is the upfront cure, because a shared language agreed early is what stops the jargon arriving at all.
- **`/teach`**: learn a concept over multiple sessions, using the current directory as a stateful workspace.
- **`/writing-for-agents`** is the reference for writing documents agents consume: skills, AGENTS.md, pointed-at docs.
## Precondition
**`/setup-matt-pocock-skills`**: run before your first engineering flow to configure the issue tracker, triage labels, and doc layout the other skills assume. Custom issue trackers also work.
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interface:
display_name: "Ask Matt"
short_description: "Find the right skill or workflow"
policy:
allow_implicit_invocation: false
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---
name: code-review
description: "Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to \"review since X\"."
---
Two-axis review of the diff between `HEAD` and a fixed point the user supplies:
- **Standards**: does the code conform to this repo's documented coding standards?
- **Spec**: does the code faithfully implement the originating issue / spec?
Both axes run as **parallel sub-agents** so they don't pollute each other's context, then this skill aggregates their findings. Start every sub-agent with a fresh context window.
The issue tracker should have been provided to you. If not, tell the user to run `/setup-matt-pocock-skills`.
## Process
### 1. Pin the fixed point
Whatever the user said is the fixed point (a commit SHA, branch name, tag, `main`, `HEAD~5`, etc.). If they didn't specify one, ask for it.
Capture the diff command once: `git diff <fixed-point>...HEAD` (three-dot, so the comparison is against the merge-base). Also note the list of commits via `git log <fixed-point>..HEAD --oneline`.
Before going further, confirm the fixed point resolves (`git rev-parse <fixed-point>`) and the diff is non-empty. A bad ref or empty diff should fail here, not inside two parallel sub-agents.
### 2. Identify the spec source
Look for the originating spec, in this order:
1. Issue references in the commit messages (`#123`, `Closes #45`, GitLab `!67`, etc.), fetched via the workflow in the tracker doc.
2. A path the user passed as an argument.
3. A spec file under `docs/`, `specs/`, or `.scratch/` matching the branch name or feature.
4. If nothing is found, ask the user where the spec is. If they say there isn't one, the **Spec** sub-agent will skip and report "no spec available".
### 3. Identify the standards sources
Search the repo for every file that documents how code should be written. When `CODING_STANDARDS.md` or `CONTRIBUTING.md` exists, it must be on the list.
On top of whatever the repo documents, the Standards axis always carries the **smell baseline** below: a fixed set of Fowler code smells (_Refactoring_, ch.3) that applies even when a repo documents nothing. Two rules bind it:
- **The repo overrides.** A documented repo standard always wins; where it endorses something the baseline would flag, suppress the smell.
- **Always a judgement call.** Each smell is a labelled heuristic ("possible Feature Envy"), never a hard violation. Like any standard here, skip anything tooling already enforces.
Each smell reads *what it is* → *how to fix*; match it against the diff:
- **Mysterious Name**: a function, variable, or type whose name doesn't reveal what it does or holds. → rename it; if no honest name comes, the design's murky.
- **Duplicated Code**: the same logic shape appears in more than one hunk or file in the change. → extract the shared shape, call it from both.
- **Feature Envy**: a method that reaches into another object's data more than its own. → move the method onto the data it envies.
- **Data Clumps**: the same few fields or params keep travelling together (a type wanting to be born). → bundle them into one type, pass that.
- **Primitive Obsession**: a primitive or string standing in for a domain concept that deserves its own type. → give the concept its own small type.
- **Repeated Switches**: the same `switch`/`if`-cascade on the same type recurs across the change. → replace with polymorphism, or one map both sites share.
- **Shotgun Surgery**: one logical change forces scattered edits across many files in the diff. → gather what changes together into one module.
- **Divergent Change**: one file or module is edited for several unrelated reasons. → split so each module changes for one reason.
- **Speculative Generality**: abstraction, parameters, or hooks added for needs the spec doesn't have. → delete it; inline back until a real need shows.
- **Message Chains**: long `a.b().c().d()` navigation the caller shouldn't depend on. → hide the walk behind one method on the first object.
- **Middle Man**: a class or function that mostly just delegates onward. → cut it, call the real target direct.
- **Refused Bequest**: a subclass or implementer that ignores or overrides most of what it inherits. → drop the inheritance, use composition.
### 4. Spawn both sub-agents in parallel
Issue both sub-agent calls together, in the foreground, and aggregate the reports they return.
**Standards sub-agent prompt** should include:
- The full diff command and commit list.
- The list of standards-source files you found in step 3, **plus the smell baseline from step 3** pasted in full (the sub-agent has no other access to it).
- The brief: "Report, per file/hunk where relevant, (a) every place the diff violates a documented standard: cite the standard (file + the rule); and (b) any baseline smell you spot: name it and quote the hunk. Distinguish hard violations from judgement calls: documented-standard breaches can be hard, but baseline smells are always judgement calls, and a documented repo standard overrides the baseline. Skip anything tooling enforces. Under 400 words."
**Spec sub-agent prompt** should include:
- The diff command and commit list.
- The path or fetched contents of the spec.
- The brief: "Report: (a) requirements the spec asked for that are missing or partial; (b) behaviour in the diff that wasn't asked for (scope creep); (c) requirements that look implemented but where the implementation looks wrong. Quote the spec line for each finding. Under 400 words."
If the spec is missing, skip the Spec sub-agent and note this in the final report.
### 5. Aggregate
Present the two reports under `## Standards` and `## Spec` headings, verbatim or lightly cleaned. Do **not** merge or rerank findings, because the two axes are deliberately separate (see _Why two axes_).
End with a one-line summary: total findings per axis, and the worst issue _within each axis_ (if any). Don't pick a single winner across axes: that's the reranking the separation exists to prevent.
## Why two axes
A change can pass one axis and fail the other:
- Code that follows every standard but implements the wrong thing → **Standards pass, Spec fail.**
- Code that does exactly what the issue asked but breaks the project's conventions → **Spec pass, Standards fail.**
Reporting them separately stops one axis from masking the other.
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interface:
display_name: "Code Review"
short_description: "Review a diff on standards and spec"
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# Deepening
How to deepen a cluster of shallow modules safely, given its dependencies. Assumes the vocabulary in [SKILL.md](SKILL.md): **module**, **interface**, **seam**, **adapter**.
## Dependency categories
When assessing a candidate for deepening, classify its dependencies. The category determines how the deepened module is tested across its seam.
### 1. In-process
Pure computation, in-memory state, no I/O. Always deepenable: merge the modules and test through the new interface directly. No adapter needed.
### 2. Local-substitutable
Dependencies that have local test stand-ins (PGLite for Postgres, in-memory filesystem). Deepenable if the stand-in exists. The deepened module is tested with the stand-in running in the test suite. The seam is internal; no port at the module's external interface.
### 3. Remote but owned (Ports & Adapters)
Your own services across a network boundary (microservices, internal APIs). Define a **port** (interface) at the seam. The deep module owns the logic; the transport is injected as an **adapter**. Tests use an in-memory adapter. Production uses an HTTP/gRPC/queue adapter.
Recommendation shape: *"Define a port at the seam, implement an HTTP adapter for production and an in-memory adapter for testing, so the logic sits in one deep module even though it's deployed across a network."*
### 4. True external (Mock)
Third-party services (Stripe, Twilio, etc.) you don't control. The deepened module takes the external dependency as an injected port; tests provide a mock adapter.
## Seam discipline
- **One adapter means a hypothetical seam. Two adapters means a real one.** Don't introduce a port unless at least two adapters are justified (typically production + test). A single-adapter seam is just indirection.
- **Internal seams vs external seams.** A deep module can have internal seams (private to its implementation, used by its own tests) as well as the external seam at its interface. Don't expose internal seams through the interface just because tests use them.
## Testing strategy: replace, don't layer
- Old unit tests on shallow modules become waste once tests at the deepened module's interface exist; delete them.
- Write new tests at the deepened module's interface. The **interface is the test surface**.
- Tests assert on observable outcomes through the interface, not internal state.
- Tests should survive internal refactors, since they describe behaviour, not implementation. If a test has to change when the implementation changes, it's testing past the interface.
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# Design It Twice
When the user wants to explore alternative interfaces for a chosen deepening candidate, use this parallel sub-agent pattern. Based on "Design It Twice" (Ousterhout): your first idea is unlikely to be the best.
Uses the vocabulary in [SKILL.md](SKILL.md): **module**, **interface**, **seam**, **adapter**, **leverage**.
## Process
### 1. Frame the problem space
Before spawning sub-agents, write a user-facing explanation of the problem space for the chosen candidate:
- The constraints any new interface would need to satisfy
- The dependencies it would rely on, and which category they fall into (see [DEEPENING.md](DEEPENING.md))
- A rough illustrative code sketch to ground the constraints, not a proposal, just a way to make the constraints concrete
Show this to the user, then immediately proceed to Step 2. The user reads and thinks while the sub-agents work in parallel.
### 2. Spawn sub-agents
Spawn 3+ sub-agents in parallel, each with a fresh context window. Each must produce a **radically different** interface for the deepened module.
Prompt each sub-agent with a separate technical brief (file paths, coupling details, dependency category from [DEEPENING.md](DEEPENING.md), what sits behind the seam). The brief is independent of the user-facing problem-space explanation in Step 1. Give each agent a different design constraint:
- Agent 1: "Minimize the interface: aim for 1–3 entry points max. Maximise leverage per entry point."
- Agent 2: "Maximise flexibility: support many use cases and extension."
- Agent 3: "Optimise for the most common caller: make the default case trivial."
- Agent 4 (if applicable): "Design around ports & adapters for cross-seam dependencies."
Include both [SKILL.md](SKILL.md) vocabulary and GLOSSARY.md vocabulary in the brief so each sub-agent names things consistently with the architecture language and the project's domain language.
Each sub-agent outputs:
1. Interface (types, methods, params, plus invariants, ordering, error modes)
2. Usage example showing how callers use it
3. What the implementation hides behind the seam
4. Dependency strategy and adapters (see [DEEPENING.md](DEEPENING.md))
5. Trade-offs: where leverage is high, where it's thin
### 3. Present and compare
Present designs sequentially so the user can absorb each one, then compare them in prose. Contrast by **depth** (leverage at the interface), **locality** (where change concentrates), and **seam placement**.
After comparing, give your own recommendation: which design you think is strongest and why. If elements from different designs would combine well, propose a hybrid. Be opinionated: the user wants a strong read, not a menu.
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---
name: codebase-design
description: Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
---
# Codebase Design
Design **deep modules**: a lot of behaviour behind a small interface, placed at a clean seam, testable through that interface. Use this language and these principles wherever code is being designed or restructured. The aim is leverage for callers, locality for maintainers, and testability for everyone.
## Glossary
Use these terms exactly: don't substitute "component," "service," "API," or "boundary." Consistent language is the whole point.
**Module**: anything with an interface and an implementation. Deliberately scale-agnostic: a function, class, package, or tier-spanning slice. _Avoid_: unit, component, service.
**Interface**: everything a caller must know to use the module correctly: the type signature, but also invariants, ordering constraints, error modes, required configuration, and performance characteristics. _Avoid_: API, signature (too narrow, they refer only to the type-level surface).
**Implementation**: what's inside a module, its body of code. Distinct from **Adapter**: a thing can be a small adapter with a large implementation (a Postgres repo) or a large adapter with a small implementation (an in-memory fake). Reach for "adapter" when the seam is the topic; "implementation" otherwise.
**Depth**: leverage at the interface. The amount of behaviour a caller (or test) can exercise per unit of interface they have to learn. A module is **deep** when a large amount of behaviour sits behind a small interface, **shallow** when the interface is nearly as complex as the implementation.
**Seam** _(Michael Feathers)_: a place where you can alter behaviour without editing in that place; the *location* at which a module's interface lives. Where to put the seam is its own design decision, distinct from what goes behind it. _Avoid_: boundary (overloaded with DDD's bounded context).
**Adapter**: a concrete thing that satisfies an interface at a seam. Describes *role* (what slot it fills), not substance (what's inside).
**Leverage**: what callers get from depth. More capability per unit of interface they learn. One implementation pays back across N call sites and M tests.
**Locality**: what maintainers get from depth. Change, bugs, knowledge, and verification concentrate in one place rather than spreading across callers. Fix once, fixed everywhere.
## Deep vs shallow
**Deep module** = small interface + lots of implementation:
```
┌─────────────────────┐
│ Small Interface │ ← Few methods, simple params
├─────────────────────┤
│ │
│ Deep Implementation│ ← Complex logic hidden
│ │
└─────────────────────┘
```
**Shallow module** = large interface + little implementation (avoid):
```
┌─────────────────────────────────┐
│ Large Interface │ ← Many methods, complex params
├─────────────────────────────────┤
│ Thin Implementation │ ← Just passes through
└─────────────────────────────────┘
```
When designing an interface, ask:
- Can I reduce the number of methods?
- Can I simplify the parameters?
- Can I hide more complexity inside?
## Principles
- **Depth is a property of the interface, not the implementation.** A deep module can be internally composed of small, mockable, swappable parts; they just aren't part of the interface. A module can have **internal seams** (private to its implementation, used by its own tests) as well as the **external seam** at its interface.
- **The deletion test.** Imagine deleting the module. If complexity vanishes, it was a pass-through. If complexity reappears across N callers, it was earning its keep.
- **The interface is the test surface.** Callers and tests cross the same seam. If you want to test *past* the interface, the module is probably the wrong shape.
- **One adapter means a hypothetical seam. Two adapters means a real one.** Don't introduce a seam unless something actually varies across it.
## Designing for testability
Good interfaces make testing natural:
1. **Accept dependencies, don't create them.**
```typescript
// Testable
function processOrder(order, paymentGateway) {}
// Hard to test
function processOrder(order) {
const gateway = new StripeGateway();
}
```
2. **Return results, don't produce side effects.**
```typescript
// Testable
function calculateDiscount(cart): Discount {}
// Hard to test
function applyDiscount(cart): void {
cart.total -= discount;
}
```
3. **Small surface area.** Fewer methods = fewer tests needed. Fewer params = simpler test setup.
## Relationships
- A **Module** has exactly one **Interface** (the surface it presents to callers and tests).
- **Depth** is a property of a **Module**, measured against its **Interface**.
- A **Seam** is where a **Module**'s **Interface** lives.
- An **Adapter** sits at a **Seam** and satisfies the **Interface**.
- **Depth** produces **Leverage** for callers and **Locality** for maintainers.
## Rejected framings
- **Depth as ratio of implementation-lines to interface-lines** (Ousterhout): rewards padding the implementation. We use depth-as-leverage instead.
- **"Interface" as the TypeScript `interface` keyword or a class's public methods**: too narrow: interface here includes every fact a caller must know.
- **"Boundary"**: overloaded with DDD's bounded context. Say **seam** or **interface**.
## Going deeper
- **Deepening a cluster given its dependencies**, see [DEEPENING.md](DEEPENING.md): dependency categories, seam discipline, and replace-don't-layer testing.
- **Exploring alternative interfaces**, see [DESIGN-IT-TWICE.md](DESIGN-IT-TWICE.md): spin up parallel sub-agents to design the interface several radically different ways, then compare on depth, locality, and seam placement.
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interface:
display_name: "Codebase Design"
short_description: "Vocabulary for deep-module design"
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---
name: diagnosing-bugs
description: Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
---
# Diagnosing Bugs
A discipline for hard bugs. Skip phases only when explicitly justified.
When exploring the codebase, read `GLOSSARY.md` (if it exists) to get a clear mental model of the relevant modules, and check ADRs in the area you're touching.
## Redact
This skill has you show commands, outputs and captured artifacts. **Redact every secret first**: write `<REDACTED>` in its place. Build loops against env vars, so the credential stays in the environment rather than in what you show. Captured artifacts carry auth headers: quote only the lines that carry the signal.
If the redacted output is not enough to diagnose the bug, say so and ask the user.
## Phase 1: Build a feedback loop
**This is the skill.** Everything else is mechanical. If you have a **tight** pass/fail signal for the bug (one that goes red on _this_ bug), you will find the cause; bisection, hypothesis-testing, and instrumentation all just consume it. If you don't have one, no amount of staring at code will save you.
Spend disproportionate effort here. **Be aggressive. Be creative. Refuse to give up.**
### Ways to construct one, in roughly this order
1. **Failing test** at whatever seam reaches the bug: unit, integration, e2e.
2. **Curl / HTTP script** against a running dev server.
3. **CLI invocation** with a fixture input, diffing stdout against a known-good snapshot.
4. **Headless browser script** (Playwright / Puppeteer) that drives the UI and asserts on DOM/console/network.
5. **Replay a captured trace.** Save a real network request / payload / event log to disk; replay it through the code path in isolation.
6. **Throwaway harness.** Spin up a minimal subset of the system (one service, mocked deps) that exercises the bug code path with a single function call.
7. **Property / fuzz loop.** If the bug is "sometimes wrong output", run 1000 random inputs and look for the failure mode.
8. **Bisection harness.** If the bug appeared between two known states (commit, dataset, version), automate "boot at state X, check, repeat" so you can `git bisect run` it.
9. **Differential loop.** Run the same input through old-version vs new-version (or two configs) and diff outputs.
10. **HITL bash script.** Last resort. If a human must click, drive _them_ with `scripts/hitl-loop.template.sh` so the loop is still structured. Captured output feeds back to you.
Build the right feedback loop, and the bug is 90% fixed.
### Tighten the loop
Treat the loop as a product. Once you have _a_ loop, **tighten** it:
- Can I make it faster? (Cache setup, skip unrelated init, narrow the test scope.)
- Can I make the signal sharper? (Assert on the specific symptom, not "didn't crash".)
- Can I make it more deterministic? (Pin time, seed RNG, isolate filesystem, freeze network.)
A 30-second flaky loop is barely better than no loop; a 2-second deterministic one is tight, a debugging superpower.
### Non-deterministic bugs
The goal is not a clean repro but a **higher reproduction rate**. Loop the trigger 100×, parallelise, add stress, narrow timing windows, inject sleeps. A 50%-flake bug is debuggable; 1% is not, so keep raising the rate until it's debuggable.
### When you genuinely cannot build a loop
Stop and say so explicitly. List what you tried. Ask the user for: (a) access to whatever environment reproduces it, (b) a redacted captured artifact (HAR file, log dump, core dump, screen recording with timestamps), or (c) permission to add temporary production instrumentation. Do **not** proceed to hypothesise without a loop.
### Completion criterion: a tight loop that goes red
Phase 1 is done when the loop is **tight** and **red-capable**: you can name **one command** (a script path, a test invocation, a curl) that you have **already run at least once** (show the invocation and its output, redacted), and that is:
- [ ] **Red-capable**: it drives the actual bug code path and asserts the **user's exact symptom**, so it can go red on this bug and green once fixed. Not "runs without erroring"; it must be able to _catch this specific bug_.
- [ ] **Deterministic**: same verdict every run (flaky bugs: a pinned, high reproduction rate, per above).
- [ ] **Fast**: seconds, not minutes.
- [ ] **Agent-runnable**: you can run it unattended; a human in the loop only via `scripts/hitl-loop.template.sh`.
If you catch yourself reading code to build a theory before this command exists, **stop: jumping straight to a hypothesis is the exact failure this skill prevents.** No red-capable command, no Phase 2.
## Phase 2: Reproduce + minimise
Run the loop. Watch it go red as the bug appears.
Confirm:
- [ ] The loop produces the failure mode the **user** described, not a different failure that happens to be nearby. Wrong bug = wrong fix.
- [ ] The failure is reproducible across multiple runs (or, for non-deterministic bugs, reproducible at a high enough rate to debug against).
- [ ] You have captured the exact symptom (error message, wrong output, slow timing) so later phases can verify the fix actually addresses it.
### Minimise
Once it's red, shrink the repro to the **smallest scenario that still goes red**. Cut inputs, callers, config, data, and steps **one at a time**, re-running the loop after each cut, and keep only what's load-bearing for the failure.
Why bother: a minimal repro shrinks the hypothesis space in Phase 3 (fewer moving parts left to suspect) and becomes the clean regression test in Phase 5.
Done when **every remaining element is load-bearing**: removing any one of them makes the loop go green.
Do not proceed until you have reproduced **and** minimised.
## Phase 3: Hypothesise
Generate **3–5 ranked hypotheses** before testing any of them. Single-hypothesis generation anchors on the first plausible idea.
Each hypothesis must be **falsifiable**: state the prediction it makes.
> Format: "If <X> is the cause, then <changing Y> will make the bug disappear / <changing Z> will make it worse."
If you cannot state the prediction, the hypothesis is a vibe: discard or sharpen it.
**Show the ranked list to the user before testing.** They often have domain knowledge that re-ranks instantly ("we just deployed a change to #3"), or know hypotheses they've already ruled out. Cheap checkpoint, big time saver. Don't block on it; proceed with your ranking if the user is AFK.
## Phase 4: Instrument
Each probe must map to a specific prediction from Phase 3. **Change one variable at a time.**
Tool preference:
1. **Debugger / REPL inspection** if the env supports it. One breakpoint beats ten logs.
2. **Targeted logs** at the boundaries that distinguish hypotheses.
3. Never "log everything and grep".
**Tag every debug log** with a unique prefix, e.g. `[DEBUG-a4f2]`. Cleanup at the end becomes a single grep. Untagged logs survive; tagged logs die.
**Perf branch.** For performance regressions, logs are usually wrong. Instead: establish a baseline measurement (timing harness, `performance.now()`, profiler, query plan), then bisect. Measure first, fix second.
## Phase 5: Fix + regression test
Write the regression test **before the fix**, but only if there is a **correct seam** for it.
A correct seam is one where the test exercises the **real bug pattern** as it occurs at the call site. If the only available seam is too shallow (single-caller test when the bug needs multiple callers, unit test that can't replicate the chain that triggered the bug), a regression test there gives false confidence.
**If no correct seam exists, that itself is the finding.** Note it. The codebase architecture is preventing the bug from being locked down. Flag this for the next phase.
If a correct seam exists:
1. Turn the minimised repro into a failing test at that seam.
2. Watch it fail. If you forced the red by mutating code or a fixture, `diff` against a pristine copy to prove the mutation landed before you trust it.
3. Apply the fix.
4. Watch it pass.
5. Re-run the Phase 1 feedback loop against the original (un-minimised) scenario.
## Phase 6: Cleanup
Required before declaring done:
- [ ] Original repro no longer reproduces (re-run the Phase 1 loop)
- [ ] Regression test passes (or absence of seam is documented)
- [ ] All `[DEBUG-...]` instrumentation removed (`grep` the prefix)
- [ ] Throwaway prototypes deleted (or moved to a clearly-marked debug location)
- [ ] The hypothesis that turned out correct is stated in the commit / PR message, so the next debugger learns
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interface:
display_name: "Diagnosing Bugs"
short_description: "Diagnose hard bugs and regressions"
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#!/usr/bin/env bash
# Human-in-the-loop reproduction loop.
# Copy this file, edit the steps below, and run it.
# The agent runs the script; the user follows prompts in their terminal.
#
# Usage:
# bash hitl-loop.template.sh
#
# Two helpers:
# step "<instruction>" → show instruction, wait for Enter
# capture VAR "<question>" → show question, read response into VAR
#
# At the end, captured values are printed as KEY=VALUE for the agent to parse.
#
# `capture` prints its value back to the terminal, where the agent reads it,
# so capture observations, and leave signing in to the user as a `step`.
set -euo pipefail
step() {
printf '\n>>> %s\n' "$1"
read -r -p " [Enter when done] " _
}
capture() {
local var="$1" question="$2" answer
printf '\n>>> %s\n' "$question"
read -r -p " > " answer
printf -v "$var" '%s' "$answer"
}
# --- edit below ---------------------------------------------------------
step "Open the app at http://localhost:3000 and sign in."
capture ERRORED "Click the 'Export' button. Did it throw an error? (y/n)"
capture ERROR_MSG "Paste the error message (or 'none'):"
# --- edit above ---------------------------------------------------------
printf '\n--- Captured ---\n'
printf 'ERRORED=%s\n' "$ERRORED"
printf 'ERROR_MSG=%s\n' "$ERROR_MSG"
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# ADR Format
ADRs live in `docs/adr/` and use sequential numbering: `0001-slug.md`, `0002-slug.md`, etc.
Create the `docs/adr/` directory lazily: only when the first ADR is needed.
## Template
```md
# {Short title of the decision}
{1-3 sentences: what's the context, what did we decide, and why.}
```
That's it. An ADR can be a single paragraph. The value is in recording *that* a decision was made and *why*, not in filling out sections.
## Optional sections
Only include these when they add genuine value. Most ADRs won't need them.
- **Status** frontmatter (`proposed | accepted | deprecated | superseded by ADR-NNNN`): useful when decisions are revisited
- **Considered Options**: only when the rejected alternatives are worth remembering
- **Consequences**: only when non-obvious downstream effects need to be called out
## Numbering
Scan `docs/adr/` for the highest existing number and increment by one.
## When to offer an ADR
All three of these must be true:
1. **Hard to reverse**: the cost of changing your mind later is meaningful
2. **Surprising without context**: a future reader will look at the code and wonder "why on earth did they do it this way?"
3. **The result of a real trade-off**: there were genuine alternatives and you picked one for specific reasons
If a decision is easy to reverse, skip it: you'll just reverse it. If it's not surprising, nobody will wonder why. If there was no real alternative, there's nothing to record beyond "we did the obvious thing."
### What qualifies
- **Architectural shape.** "We're using a monorepo." "The write model is event-sourced, the read model is projected into Postgres."
- **Integration patterns between contexts.** "Ordering and Billing communicate via domain events, not synchronous HTTP."
- **Technology choices that carry lock-in.** Database, message bus, auth provider, deployment target. Not every library: just the ones that would take a quarter to swap out.
- **Boundary and scope decisions.** "Customer data is owned by the Customer context; other contexts reference it by ID only." The explicit no-s are as valuable as the yes-s.
- **Deliberate deviations from the obvious path.** "We're using manual SQL instead of an ORM because X." Anything where a reasonable reader would assume the opposite. These stop the next engineer from "fixing" something that was deliberate.
- **Constraints not visible in the code.** "We can't use AWS because of compliance requirements." "Response times must be under 200ms because of the partner API contract."
- **Rejected alternatives when the rejection is non-obvious.** If you considered GraphQL and picked REST for subtle reasons, record it; otherwise someone will suggest GraphQL again in six months.
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# GLOSSARY.md Format
## Structure
```md
# {Context Name}
{One or two sentence description of what this context is and why it exists.}
## Language
**Order**:
{A one or two sentence description of the term}
_Avoid_: Purchase, transaction
**Invoice**:
A request for payment sent to a customer after delivery.
_Avoid_: Bill, payment request
**Customer**:
A person or organization that places orders.
_Avoid_: Client, buyer, account
```
## Rules
- **Be opinionated.** When multiple words exist for the same concept, pick the best one and list the others under `_Avoid_`.
- **Keep definitions tight.** One or two sentences max. Define what it IS, not what it does.
- **Only include terms specific to this project's context.** General programming concepts (timeouts, error types, utility patterns) don't belong even if the project uses them extensively. Before adding a term, ask: is this a concept unique to this context, or a general programming concept? Only the former belongs.
- **Group terms under subheadings** when natural clusters emerge. If all terms belong to a single cohesive area, a flat list is fine.
## Single vs multi-context repos
**Single context (most repos):** One `GLOSSARY.md` at the repo root.
**Multiple contexts:** A `GLOSSARY-MAP.md` at the repo root lists the contexts, where they live, and how they relate to each other:
```md
# Glossary Map
## Contexts
- [Ordering](./src/ordering/GLOSSARY.md): receives and tracks customer orders
- [Billing](./src/billing/GLOSSARY.md): generates invoices and processes payments
- [Fulfillment](./src/fulfillment/GLOSSARY.md): manages warehouse picking and shipping
## Relationships
- **Ordering → Fulfillment**: Ordering emits `OrderPlaced` events; Fulfillment consumes them to start picking
- **Fulfillment → Billing**: Fulfillment emits `ShipmentDispatched` events; Billing consumes them to generate invoices
- **Ordering ↔ Billing**: Shared types for `CustomerId` and `Money`
```
The skill infers which structure applies:
- If `GLOSSARY-MAP.md` exists, read it to find contexts
- If only a root `GLOSSARY.md` exists, single context
- If neither exists, create a root `GLOSSARY.md` lazily when the first term is resolved
When multiple contexts exist, infer which one the current topic relates to. If unclear, ask.
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---
name: domain-modeling
description: Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.
---
# Domain Modeling
Actively build and sharpen the project's domain model as you design. This is the *active* discipline: challenging terms, inventing edge-case scenarios, and writing the glossary and decisions down the moment they crystallise. (Merely *reading* `GLOSSARY.md` for vocabulary is not this skill: that's a one-line habit any skill can do. This skill is for when you're changing the model, not just consuming it.)
## File structure
Most repos have a single context:
```
/
├── GLOSSARY.md
├── docs/
│ └── adr/
│ ├── 0001-event-sourced-orders.md
│ └── 0002-postgres-for-write-model.md
└── src/
```
If a `GLOSSARY-MAP.md` exists at the root, the repo has multiple contexts. The map points to where each one lives:
```
/
├── GLOSSARY-MAP.md
├── docs/
│ └── adr/ ← system-wide decisions
├── src/
│ ├── ordering/
│ │ ├── GLOSSARY.md
│ │ └── docs/adr/ ← context-specific decisions
│ └── billing/
│ ├── GLOSSARY.md
│ └── docs/adr/
```
Create files lazily: only when you have something to write. If no `GLOSSARY.md` exists, create one when the first term is resolved. If no `docs/adr/` exists, create it when the first ADR is needed.
## During the session
### Challenge against the glossary
When the user uses a term that conflicts with the existing language in `GLOSSARY.md`, call it out immediately. "Your glossary defines 'cancellation' as X, but you seem to mean Y. Which is it?"
### Sharpen fuzzy language
When the user uses vague or overloaded terms, propose a precise canonical term. "You're saying 'account': do you mean the Customer or the User? Those are different things."
### Discuss concrete scenarios
When domain relationships are being discussed, stress-test them with specific scenarios. Invent scenarios that probe edge cases and force the user to be precise about the boundaries between concepts.
### Cross-reference with code
When the user states how something works, check whether the code agrees. If you find a contradiction, surface it: "Your code cancels entire Orders, but you just said partial cancellation is possible. Which is right?"
### Update GLOSSARY.md inline
When a term is resolved, update `GLOSSARY.md` right there. Don't batch these up: capture them as they happen. Use the format in [GLOSSARY-FORMAT.md](./GLOSSARY-FORMAT.md).
`GLOSSARY.md` should be totally devoid of implementation details. Do not treat `GLOSSARY.md` as a spec, a scratch pad, or a repository for implementation decisions. It is a glossary and nothing else.
### Offer ADRs sparingly
Only offer to create an ADR when all three are true:
1. **Hard to reverse**: the cost of changing your mind later is meaningful
2. **Surprising without context**: a future reader will wonder "why did they do it this way?"
3. **The result of a real trade-off**: there were genuine alternatives and you picked one for specific reasons
If any of the three is missing, skip the ADR. Use the format in [ADR-FORMAT.md](./ADR-FORMAT.md).
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interface:
display_name: "Domain Modeling"
short_description: "Build and sharpen a domain model"
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---
name: grill-me
description: A relentless interview to sharpen a plan or design.
disable-model-invocation: true
---
Call the Skill tool with "grilling".
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interface:
display_name: "Grill Me"
short_description: "Sharpen a plan through interview"
policy:
allow_implicit_invocation: false
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---
name: grill-with-docs
description: A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
disable-model-invocation: true
---
Call the Skill tool twice, for "grilling" and "domain-modeling".
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interface:
display_name: "Grill with Docs"
short_description: "Grill a design and write its docs"
policy:
allow_implicit_invocation: false
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---
name: grilling
description: Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
---
Interview the user relentlessly until you reach a shared understanding. Map this as a **design tree**: every decision branches into the decisions that hang off it.
Work the tree in **rounds**. The **frontier** is every decision whose prerequisites are already settled: the questions you can ask _now_ without guessing at answers you haven't heard yet. Ask the whole frontier in one round: number each question and give your recommended answer. Then wait for the user's answers before the next round.
Format a round like so:
```
❓ **Q1** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices>
➡️ <your recommended answer>
---
❓ **Q2** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices>
➡️ <your recommended answer>
```
Word each question so "yes" accepts your recommended answer.
Each round the user answers reshapes the tree: settled decisions push the frontier outward and unblock questions that depended on them. Recompute the frontier and ask the next round. A question whose answer depends on another question still open in this round belongs to a _later_ round, not this one.
Finding _facts_ is your job, never the user's. When a frontier question needs a fact from the environment (filesystem, tools, etc.), dispatch a sub-agent with a fresh context window to find it; don't ask the user for anything you could look up yourself. Don't block on it: a running exploration is an unsettled prerequisite, so only the questions downstream of it wait for the sub-agent to report; ask the rest of the frontier now. The _decisions_ are the user's: put each to them and wait.
The session is done when the frontier is empty: every branch of the design tree visited, nothing left silently assumed. Do not act on it until the user confirms you have reached a shared understanding.
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interface:
display_name: "Grilling"
short_description: "Stress-test thinking a round of questions at a time"
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---
name: handoff
description: Compact the current conversation into a handoff document for another agent to pick up.
argument-hint: "What will the next session be used for?"
disable-model-invocation: true
---
Write a handoff document summarising the current conversation so a fresh agent can continue the work. Save to the temporary directory of the user's OS (`$TMPDIR`, else `/tmp`; `%TEMP%` on Windows) - not the current workspace.
Include a "suggested skills" section in the document, naming which skills the next agent should call the Skill tool for.
Do not duplicate content already captured in other artifacts (specs, plans, ADRs, issues, commits, diffs). Reference them by path or URL instead.
Redact any sensitive information, such as API keys, passwords, or personally identifiable information.
If the user passed arguments, treat them as a description of what the next session will focus on and tailor the doc accordingly.
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interface:
display_name: "Handoff"
short_description: "Compact a conversation into a handoff"
policy:
allow_implicit_invocation: false
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---
name: implement-spec
description: "Implement the result of /to-spec and /to-tickets in code."
disable-model-invocation: true
---
You have been provided a spec. This spec should have tickets associated with it, describing how to implement the spec.
The issue tracker should have been provided to you. If not, tell the user to run `/setup-matt-pocock-skills`.
The goal is the entire spec implemented on a single **integration branch**, with every ticket resolved the way the issue tracker closes work.
The tickets are not a list of steps. They are a **task graph** with blocking relationships between them. This means there is always a **frontier** of tickets which are ready to be grabbed.
Start every subagent with a fresh context window.
Communication to and from subagents should be sparse. Communicate primarily through **context pointers**: to the spec, tickets, research notes, and previous commits. Don't duplicate information already available via pointers.
**Implementer subagents** should be run in the background where possible for maximum concurrency.
## Steps
1. Read the spec and tickets to understand the task graph.
2. (optional) Use an **exploration subagent** to conduct any exploration required by the tickets - relevant codebase files or external documentation. Ensure the exploration subagent can save files - it should save its markdown notes in a directory outside the repo, accessible by all future subagents. This lets **implementer subagents** focus on implementation rather than exploration.
3. Create the integration branch. If the issue tracker closes work through PRs, or the user asks for one, open a draft PR after the first merge in step 5 (a branch with no commits ahead of main can't open one), marked as closing the spec and tickets.
4. Use a fresh **implementer subagent** for each ticket, each in its own worktree on its own branch. Each implementer subagent:
- confirms its worktree is based on the integration branch before starting, and resets onto it if not;
- calls the Skill tool with `tdd` to build the ticket;
- merges the integration branch tip into its own branch before reporting done
5. Once an **implementer subagent** completes, merge its work to the integration branch with a **merger subagent**.
6. If this changes the **frontier** of available tickets, kick off more **implementer subagents** to work on the new tickets. This allows for maximum concurrency.
7. Once all tickets are complete, call the Skill tool with `code-review` on the integration branch. Fix all issues raised by the code review in a single fresh **implementer subagent**.
8. If a draft PR exists, mark it ready for review. Otherwise, resolve each ticket the way the issue tracker closes work, and report the integration branch.
9. Clean up all **implementer subagent** worktrees.
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interface:
display_name: "Implement Spec"
short_description: "Implement the result of /to-spec and /to-tickets in code."
policy:
allow_implicit_invocation: false
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---
name: implement
description: "Implement a piece of work based on a spec or set of tickets."
disable-model-invocation: true
---
Implement the work described by the user in the spec or tickets.
If the user passes a ticket reference, fetch it from the issue tracker and state its title before starting. If the reference is ambiguous, ask.
Call the Skill tool with "tdd" where possible, at pre-agreed seams.
Run typechecking regularly, single test files regularly, and the full test suite once at the end.
Once done, call the Skill tool with "code-review" to review the work.
Commit your work to the current branch.
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interface:
display_name: "Implement"
short_description: "Build work from a spec or tickets"
policy:
allow_implicit_invocation: false
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# HTML Report Format
The architectural review is rendered as a single self-contained HTML file in the OS temp directory. Tailwind and Mermaid both come from CDNs. Mermaid handles graph-shaped diagrams reliably; hand-built divs and inline SVG handle the more editorial visuals (mass diagrams, cross-sections). Mix the two: don't lean on Mermaid for everything, it'll start to look generic.
## Scaffold
```html
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8" />
<title>Architecture review for {{repo name}}</title>
<script src="https://cdn.tailwindcss.com"></script>
<script type="module">
import mermaid from "https://cdn.jsdelivr.net/npm/mermaid@11/dist/mermaid.esm.min.mjs";
mermaid.initialize({ startOnLoad: true, theme: "neutral", securityLevel: "loose" });
</script>
<style>
/* small custom layer for things Tailwind doesn't cover cleanly:
dashed seam lines, hand-drawn-feeling arrow heads, etc. */
.seam { stroke-dasharray: 4 4; }
.leak { stroke: #dc2626; }
.deep { background: linear-gradient(135deg, #0f172a, #1e293b); }
</style>
</head>
<body class="bg-stone-50 text-slate-900 font-sans">
<main class="max-w-5xl mx-auto px-6 py-12 space-y-12">
<header>...</header>
<section id="candidates" class="space-y-10">...</section>
<section id="top-recommendation">...</section>
</main>
</body>
</html>
```
## Header
Repo name, date, and a compact legend: solid box = module, dashed line = seam, red arrow = leakage, thick dark box = deep module. No introduction paragraph. Straight into the candidates.
## Candidate card
The diagrams carry the weight. Prose is sparse, plain, and uses the glossary terms (from the `/codebase-design` skill) without ceremony.
Each candidate is one `<article>`:
- **Title**: short, names the deepening (e.g. "Collapse the Order intake pipeline").
- **Badge row**: recommendation strength (`Strong` = emerald, `Worth exploring` = amber, `Speculative` = slate), plus a tag for the dependency category (`in-process`, `local-substitutable`, `ports & adapters`, `mock`).
- **Files**: monospaced list, `font-mono text-sm`.
- **Before / After diagram**: the centrepiece. Two columns, side by side. See patterns below.
- **Problem**: one sentence. What hurts.
- **Solution**: one sentence. What changes.
- **Wins**: bullets, ≤6 words each. e.g. "Tests hit one interface", "Pricing logic stops leaking", "Delete 4 shallow wrappers".
- **ADR callout** (if applicable): one line in an amber-tinted box.
No paragraphs of explanation. If the diagram needs a paragraph to be understood, redraw the diagram.
## Diagram patterns
Pick the pattern that fits the candidate. Mix them. Don't make every diagram look the same. Variety is part of the point.
### Mermaid graph (the workhorse for dependencies / call flow)
Use a Mermaid `flowchart` or `graph` when the point is "X calls Y calls Z, and look at the mess." Wrap it in a Tailwind-styled card so it doesn't feel parachuted in. Style with classDef to colour leakage edges red and the deep module dark. Sequence diagrams work well for "before: 6 round-trips; after: 1."
```html
<div class="rounded-lg border border-slate-200 bg-white p-4">
<pre class="mermaid">
flowchart LR
A[OrderHandler] --> B[OrderValidator]
B --> C[OrderRepo]
C -.leak.-> D[PricingClient]
classDef leak stroke:#dc2626,stroke-width:2px;
class C,D leak
</pre>
</div>
```
### Hand-built boxes-and-arrows (when Mermaid's layout fights you)
Modules as `<div>`s with borders and labels. Arrows as inline SVG `<line>` or `<path>` elements positioned absolutely over a relative container. Reach for this when you want the "after" diagram to feel like one thick-bordered deep module with greyed-out internals, since Mermaid won't render that with the right weight.
### Cross-section (good for layered shallowness)
Stack horizontal bands (`h-12 border-l-4`) to show layers a call passes through. Before: 6 thin layers each doing nothing. After: 1 thick band labelled with the consolidated responsibility.
### Mass diagram (good for "interface as wide as implementation")
Two rectangles per module: one for interface surface area, one for implementation. Before: interface rectangle is nearly as tall as the implementation rectangle (shallow). After: interface rectangle is short, implementation rectangle is tall (deep).
### Call-graph collapse
Before: a tree of function calls rendered as nested boxes. After: the same tree collapsed into one box, with the now-internal calls shown faded inside it.
## Style guidance
- Lean editorial, not corporate-dashboard. Generous whitespace. Serif optional for headings (`font-serif` works well with stone/slate).
- Colour sparingly: one accent (emerald or indigo) plus red for leakage and amber for warnings.
- Keep diagrams ~320px tall so before/after sits comfortably side by side without scrolling.
- Use `text-xs uppercase tracking-wider` for module labels inside diagrams, so they read as schematic, not as UI.
- The only scripts are the Tailwind CDN and the Mermaid ESM import. The report is otherwise static: no app code, no interactivity beyond Mermaid's own rendering.
## Top recommendation section
One larger card. Candidate name, one sentence on why, anchor link to its card. That's it.
## Tone
Plain English, concise, but the architectural nouns and verbs come straight from the `/codebase-design` skill. Concision is not an excuse to drift.
**Use exactly:** module, interface, implementation, depth, deep, shallow, seam, adapter, leverage, locality.
**Never substitute:** component, service, unit (for module) · API, signature (for interface) · boundary (for seam) · layer, wrapper (for module, when you mean module).
**Phrasings that fit the style:**
- "Order intake module is shallow: interface nearly matches the implementation."
- "Pricing leaks across the seam."
- "Deepen: one interface, one place to test."
- "Two adapters justify the seam: HTTP in prod, in-memory in tests."
**Wins bullets** name the gain in glossary terms: *"locality: bugs concentrate in one module"*, *"leverage: one interface, N call sites"*, *"interface shrinks; implementation absorbs the wrappers"*. Don't write *"easier to maintain"* or *"cleaner code"*, because those terms aren't in the glossary and don't earn their place.
No hedging, no throat-clearing, no "it's worth noting that…". If a sentence could be a bullet, make it a bullet. If a bullet could be cut, cut it. If a term isn't in the `/codebase-design` glossary, reach for one that is before inventing a new one.
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---
name: improve-codebase-architecture
description: Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
disable-model-invocation: true
---
# Improve Codebase Architecture
Surface architectural friction and propose **deepening opportunities**: refactors that turn shallow modules into deep ones. The aim is testability and AI-navigability.
This command is _informed_ by the project's domain model and built on a shared design vocabulary:
- Call the Skill tool with "codebase-design" for the architecture vocabulary (**module**, **interface**, **depth**, **seam**, **adapter**, **leverage**, **locality**) and its principles (the deletion test, "the interface is the test surface", "one adapter = hypothetical seam, two = real"). Use these terms exactly in every suggestion, and don't drift into "component," "service," "API," or "boundary."
- The domain language in `GLOSSARY.md` gives names to good seams; ADRs in `docs/adr/` record decisions this command should not re-litigate.
## Process
### 1. Explore
**Scope before you scan: YAGNI.** Deepening a module pays off by making future changes to it easier, so put extra weight on the parts of the codebase that have recently changed. Decide *where* to look before you look:
- If the user named a direction (a module, a subsystem, a pain point), take it, and skip the inference below.
- Otherwise, walk back a good stretch of the commit history (`git log --oneline`) to find the codebase's hot spots, the files and areas that keep coming up, and let those paths pull your attention first. If the changes are scattered with no clear hot spot, widen the net.
Read the project's domain glossary (`GLOSSARY.md`) and any ADRs in the area you're touching first.
Then spawn a sub-agent with a fresh context window to walk the codebase. Don't follow rigid heuristics; explore organically and note where you experience friction:
- Where does understanding one concept require bouncing between many small modules?
- Where are modules **shallow**, with an interface nearly as complex as the implementation?
- Where have pure functions been extracted just for testability, but the real bugs hide in how they're called (no **locality**)?
- Where do tightly-coupled modules leak across their seams?
- Which parts of the codebase are untested, or hard to test through their current interface?
Apply the **deletion test** to anything you suspect is shallow: would deleting it concentrate complexity, or just move it? A "yes, concentrates" is the signal you want.
### 2. Present candidates as an HTML report
Write a self-contained HTML file to the OS temp directory so nothing lands in the repo. Resolve the temp dir from `$TMPDIR`, falling back to `/tmp` (or `%TEMP%` on Windows), and write to `<tmpdir>/architecture-review-<timestamp>.html` so each run gets a fresh file. Open it for the user (`xdg-open <path>` on Linux, `open <path>` on macOS, `start <path>` on Windows) and tell them the absolute path.
The report uses **Tailwind via CDN** for layout and styling, and **Mermaid via CDN** for diagrams where a graph/flow/sequence reliably communicates the structure. Mix Mermaid with hand-crafted CSS/SVG visuals: use Mermaid when relationships are graph-shaped (call graphs, dependencies, sequences), and hand-built divs/SVG when you want something more editorial (mass diagrams, cross-sections, collapse animations). Each candidate gets a **before/after visualisation**. Be visual.
For each candidate, render a card with:
- **Files**: which files/modules are involved
- **Problem**: why the current architecture is causing friction
- **Solution**: plain English description of what would change
- **Benefits**: explained in terms of locality and leverage, and how tests would improve
- **Before / After diagram**: side-by-side, custom-drawn, illustrating the shallowness and the deepening
- **Recommendation strength**: one of `Strong`, `Worth exploring`, `Speculative`, rendered as a badge
End the report with a **Top recommendation** section: which candidate you'd tackle first and why.
**Use GLOSSARY.md vocabulary for the domain, and the `/codebase-design` vocabulary for the architecture.** If `GLOSSARY.md` defines "Order," talk about "the Order intake module," not "the FooBarHandler," and not "the Order service."
**ADR conflicts**: if a candidate contradicts an existing ADR, only surface it when the friction is real enough to warrant revisiting the ADR. Mark it clearly in the card (e.g. a warning callout: _"contradicts ADR-0007, but worth reopening because…"_). Don't list every theoretical refactor an ADR forbids.
See [HTML-REPORT.md](HTML-REPORT.md) for the full HTML scaffold, diagram patterns, and styling guidance.
Do NOT propose interfaces yet. After the file is written, ask the user: "Which of these would you like to explore?"
### 3. Grilling loop
Once the user picks a candidate, call the Skill tool with "grilling" to walk the decision tree with them: constraints, dependencies, the shape of the deepened module, what sits behind the seam, what tests survive.
Side effects happen inline as decisions crystallize; call the Skill tool with "domain-modeling" to keep the domain model current as you go:
- **Naming a deepened module after a concept not in `GLOSSARY.md`?** Add the term to `GLOSSARY.md`. Create the file lazily if it doesn't exist.
- **Sharpening a fuzzy term during the conversation?** Update `GLOSSARY.md` right there.
- **User rejects the candidate with a load-bearing reason?** Offer an ADR, framed as: _"Want me to record this as an ADR so future architecture reviews don't re-suggest it?"_ Only offer when the reason would actually be needed by a future explorer to avoid re-suggesting the same thing; skip ephemeral reasons ("not worth it right now") and self-evident ones.
- **Want to explore alternative interfaces for the deepened module?** Call the Skill tool with "codebase-design" and use its design-it-twice parallel sub-agent pattern.
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interface:
display_name: "Improve Codebase Architecture"
short_description: "Find and grill architecture improvements"
policy:
allow_implicit_invocation: false
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# Credits
The **Summary** section's menu of visuals (pseudocode, call trees, component trees, file trees, Mermaid, diffs) and its placement guidance come from [Dex Horthy](https://github.com/dexhorthy)'s [`show-me`](https://github.com/humanlayer/humanlayer) skill, reproduced almost word for word and aimed at a diff instead of a live conversation. `pr` does not depend on `show-me` as a skill (it isn't part of this repo, and a hard dependency would break standalone installs), so the content is copied in rather than pointed at; this file is the attribution a dependency would otherwise have carried.
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---
name: pr
description: "Use when writing a PR body."
metadata:
credits:
skill: show-me
author: Dex Horthy
organisation: Humanlayer
url: "https://github.com/humanlayer/skills/blob/main/plugins/show-me/skills/show-me/SKILL.md"
---
Use this template for writing the PR body:
```markdown
## Summary
<diagram, diff-sketch, or tree>
## Evidence
- **Before:** <screenshot/output/failing test run>
**After:** <screenshot/output/passing test run>
## Merge Danger
**Door:** <one-way or two-way>
<optional: description>
**Blast Radius:** <one-word description>
<optional: potential ramifications of merge>
```
## Sections
Skip all preambles and keep prose brief. Use the user's domain language from `GLOSSARY.md`.
### Summary
Pick the smallest view that makes the key point clear.
- Show logic or an algorithm as pseudocode:
```text
on(save)
if content is unchanged
return cached result
write new content
return fresh result
```
- Show runtime control flow as a call tree:
```text
submitForm
createSession
persistPrompt
launchAgent
navigateToSession
```
- Show UI structure as a component tree, including state and module boundaries that matter:
```text
<SessionPage> (apps/example/src/routes/session.tsx)
useSessionEvents()
<SessionToolbar>
<RunSkillButton> (packages/ui)
```
- Show file responsibility or a broad refactor as a shallow file tree:
```text
src/
├── commands/ # parses user actions
├── sessions/ # owns session state
└── transport/ # sends API requests
```
- Show component interaction, control flow, or data flow with Mermaid:
```mermaid
sequenceDiagram
participant User
participant UI
participant Daemon
User->>UI: choose command
UI->>Daemon: send expanded prompt
Daemon-->>UI: stream result
```
- Use `diff` when the point is what changes and the surrounding shape already exists. Match the diff shape to the topic.
For a component change:
```diff
<SessionPage>
useSessionEvents()
<SessionToolbar>
+ <RunSkillButton />
<SessionTimeline>
+ <SkillResultCard />
```
For a file-layout change:
```diff
src/
├── commands/
+│ └── show-me.ts # expands the slash command
├── sessions/
-└── transport.ts
+└── transport/
+ ├── client.ts
+ └── stream.ts
```
For a call-tree or call-stack change:
```diff
submitForm
createSession
persistPrompt
+ expandSkillMention
launchAgent
- navigateToSession
+ navigateToSession
+ subscribeToEvents
```
For a state or control-flow change:
```diff
on(save)
- write content
+ if content is unchanged
+ return cached result
+ write new content
+ invalidate cache
```
- Show the whole block when most of it is new, when omitted context would hide ownership or order, or when the user needs a copyable target shape:
```ts
function expandSkill(command: string): string {
const skillName = command.slice(1);
return `use the ${skillName} skill`;
}
```
#### Guidance
Place each visual next to the short text it supports. Keep only the calls, files, props, states, and boundaries needed to answer the user's current question or the options to resolve the current discussion point.
You may use one of these, you may use several, it is unlikely you will use all of them. Use your judgement and don't overwhelm the user.
### Evidence
Concrete evidence that the change works. Show a before and after.
Screenshots are S-tier - when the environment is set up for it and the change is visual.
Execution-based evidence is A-tier. Test results, console output. Show the exact test that now fails and passes, using pseudocode.
### Merge Danger
Describe whether it's a one-way or two-way door. You can walk back through two-way doors, but not one-way doors. A PR that is cheap to roll back is lower risk. Changes that involve destructive actions or hard-to-reverse decisions are one-way doors.
The blast radius is the potential impact or scope of the changes introduced by this PR. Consider all possibilities. Examples are layout shift, breakages for consumers, mobile responsiveness, etc.
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interface:
display_name: "PR"
short_description: "Write a PR body that's fast to review"
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# Logic Prototype
A single, self-contained HTML file (a **shareable demo**) that lets anyone drive a state model by clicking buttons. Use this when the question is about **business logic, state transitions, or data shape**: the kind of thing that looks reasonable on paper but only feels wrong once you push it through real cases.
Because it's one file with nothing to install, you can hand it to a non-developer (a designer, a PM, a domain expert) and let them feel the model for themselves. So it speaks their language, not the code's.
## When this is the right shape
- "I'm not sure if this state machine handles the edge case where X then Y."
- "Does this data model actually let me represent the case where..."
- "I want to feel out what the API should look like before writing it."
- Anything where someone wants to **press buttons and watch state change**.
If the question is "what should this look like," this is the wrong branch. Use [UI.md](UI.md).
## Process
### 1. State the question
Before writing code, write down what state model and what question you're prototyping. One paragraph, at the top of the demo (in a visible intro, not just a comment). A logic prototype that answers the wrong question is pure waste, so make the question explicit so it can be checked later, whether the user is watching now or returning to it AFK.
### 2. Isolate the logic in a portable module
Put the actual logic (the bit that's answering the question) in a single `<script>` block written as a small, pure module that could be lifted out and dropped into the real codebase later. The page around it is throwaway; this module isn't.
The right shape depends on the question:
- **A pure reducer**: `(state, action) => state`. Good when actions are discrete events and state is a single value.
- **A state machine**: explicit states and transitions. Good when "which actions are even legal right now" is part of the question.
- **A small set of pure functions** over a plain data type. Good when there's no implicit current state, just transformations.
- **A class or module with a clear method surface** when the logic genuinely owns ongoing internal state.
Pick whichever shape best fits the question being asked, *not* whichever is easiest to wire to a page. Keep it pure: no DOM, no `document`, no button handlers reaching inside it. The page calls into it; nothing flows the other direction. This is what makes the prototype useful past its own lifetime: once the question's answered, the validated reducer / machine / function set lifts into the real module on its own.
### 3. Build the shareable HTML file
One file, plain HTML/CSS/JS: no framework, no bundler, no server, everything inline so it opens by double-click and survives being emailed around. Anyone should be able to run it by opening it.
Write it for a non-developer. Every label is in **domain language**, not code: buttons and state read like the business, not the reducer. Explain in plain words what's happening.
Lay it out with a clean hierarchy, top to bottom:
1. **Title and one-line explanation** of what this demo lets you explore (the question from step 1).
2. **Current state**: the full relevant state, rendered as a readable panel (labelled fields, not a raw JSON dump), re-rendered after every click so the change is visible. Where it helps a non-developer follow, call out what just changed.
3. **Free-play buttons**: one button per action, always available, so anyone can poke at the model in any order. Each click dispatches its action and re-renders the state.
4. **Guided walkthroughs**: a set of **scenarios**, one per tab. Each tab holds a short plain-language description of the scenario (the situation it sets up and what to watch for) and underneath it, the ordered **buttons to press** for that scenario. Each step is a real button: clicking it performs that action and moves to the next step. Starting a walkthrough resets to a known initial state so the scenario runs the same way every time.
Choose scenarios that demonstrate the awkward cases, the ones hard to reason about on paper: the happy path, a tricky edge case, an attempt at something that should be illegal.
Keep it beautiful but restrained: clean typography, generous spacing, one accent colour. No animations, no gimmicks: nothing that competes with the state and the buttons.
### 4. Hand it over
Send them the file, or open it for them. They'll click through the walkthroughs and free-play whenever they get to it; the interesting moments are when they say "wait, that shouldn't be possible" or "huh, I assumed X would be different"; those are the bugs in the _idea_, which is the whole point. If they want new actions or a new scenario, add them. Prototypes evolve.
### 5. Capture the answer and the prototype
Once the prototype has answered its question, capture the answer, then capture the prototype the way the [SKILL](SKILL.md) describes. The logic-specific mapping: the validated reducer / machine / function set lifts into the real module (the decision, absorbed); the HTML shell rides along to the throwaway branch that keeps the prototype as a primary source, and being one self-contained file, it stays trivially re-runnable there.
## Anti-patterns
- **Don't add tests.** A prototype that needs tests is no longer a prototype.
- **Don't wire it to the real database.** Use in-memory state unless the question is specifically about persistence.
- **Don't generalise.** No "what if we wanted to support X later." The prototype answers one question.
- **Don't blur the logic and the page together.** If the pure module references the DOM, `document`, or button handlers, it's no longer liftable. Keep the page as a thin shell over a pure module.
- **Don't reach for a framework, bundler, or server.** One file the recipient double-clicks; a React app or a dev server defeats "shareable".
- **Don't ship the HTML shell into production.** The page is optimised for being clicked through by hand. The logic module behind it is the bit worth keeping.
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---
name: prototype
description: Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.
---
# Prototype
A prototype is **throwaway code that answers a question**. The question decides the shape.
## Pick a branch
Identify which question is being answered, using the user's prompt, the surrounding code, or by asking if the user is around:
- **"Does this logic / state model feel right?"** → [LOGIC.md](LOGIC.md). Build a single shareable HTML file (free-play buttons plus tabbed guided walkthroughs) that pushes the state machine through cases that are hard to reason about on paper, and that a non-developer can drive.
- **"What should this look like?"** → [UI.md](UI.md). Generate several radically different UI variations on a single route, switchable via a URL search param and a floating bottom bar.
The two branches produce very different artifacts, so getting this wrong wastes the whole prototype. If the question is genuinely ambiguous and the user isn't reachable, default to whichever branch better matches the surrounding code (a backend module → logic; a page or component → UI) and state the assumption at the top of the prototype.
## Rules that apply to both
1. **Throwaway from day one, and clearly marked as such.** Locate the prototype code close to where it will actually be used (next to the module or page it's prototyping for) so context is obvious, but name it so a casual reader can see it's a prototype, not production. For throwaway UI routes, obey whatever routing convention the project already uses; don't invent a new top-level structure.
2. **Trivial to run.** A UI prototype starts from one command in the project's task runner: `pnpm <name>`, `python <path>`, `bun <path>`, etc. A logic demo is a single HTML file the user double-clicks. Either way, no thinking required to start it.
3. **No persistence by default.** State lives in memory. Persistence is the thing the prototype is _checking_, not something it should depend on. If the question explicitly involves a database, hit a scratch DB or a local file with a clear "PROTOTYPE, wipe me" name.
4. **Skip the polish.** No tests, no error handling beyond what makes the prototype _runnable_, no abstractions. The point is to learn something fast.
5. **Surface the state.** After every action (logic) or on every variant switch (UI), print or render the full relevant state so the user can see what changed.
6. **Capture it when done.** Fold any validated decision into the real code, then capture the prototype itself as a **primary source**: commit it to a throwaway branch, out of main, and leave a context pointer to that branch on the implementation issue. Capture the answer too (the verdict and the question it settled) in the issue or a commit. The main branch keeps only the validated decision.
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# UI Prototype
Generate **several radically different UI variations** on a single route, switchable from a floating bottom bar. The user flips between variants in the browser, picks one (or steals bits from each), then throws the rest away.
If the question is about logic/state rather than what something looks like, this is the wrong branch. Use [LOGIC.md](LOGIC.md).
## When this is the right shape
- "What should this page look like?"
- "I want to see a few options for this dashboard before committing."
- "Try a different layout for the settings screen."
- Any time the user would otherwise spend a day picking between three vague mockups in their head.
## Two sub-shapes: strongly prefer sub-shape A
A UI prototype is much easier to judge when it's **butting up against the rest of the app**: real header, real sidebar, real data, real density. A throwaway route on its own is a vacuum: every variant looks fine in isolation. Default to sub-shape A whenever there's a plausible existing page to host the variants. Only reach for sub-shape B if the prototype genuinely has no nearby home.
### Sub-shape A: adjustment to an existing page (preferred)
The route already exists. Variants are rendered **on the same route**, gated by a `?variant=` URL search param. The existing data fetching, params, and auth all stay. Only the rendering swaps. This is the default; pick it unless there's a specific reason not to.
If the prototype is for something that doesn't yet have a page but *would naturally live inside one* (a new section of the dashboard, a new card on the settings screen, a new step in an existing flow), it's still sub-shape A. Mount the variants inside the host page.
### Sub-shape B: a new page (last resort)
Only use this when the thing being prototyped genuinely has no existing page to live inside (e.g. an entirely new top-level surface, or a flow that can't be embedded anywhere sensible).
Create a **throwaway route** following whatever routing convention the project already uses. Don't invent a new top-level structure. Name it so it's obviously a prototype (e.g. include the word `prototype` in the path or filename). Same `?variant=` pattern.
Before committing to sub-shape B, sanity-check: is there really no existing page this could be embedded in? An empty route hides design problems that a populated one would expose.
In both sub-shapes the floating bottom bar is identical.
## Process
### 1. State the question and pick N
Default to **3 variants**. More than 5 stops being radically different and starts being noise, so cap there.
Write down the plan in one line, in the prototype's location or a top-of-file comment:
> "Three variants of the settings page, switchable via `?variant=`, on the existing `/settings` route."
This works whether the user is here to push back or not.
### 2. Generate radically different variants
Draft each variant. Hold each one to:
- The page's purpose and the data it has access to.
- The project's component library / styling system (TailwindCSS, shadcn, MUI, plain CSS, whatever).
- A clear exported component name, e.g. `VariantA`, `VariantB`, `VariantC`.
Variants must be **structurally different**: different layout, different information hierarchy, different primary affordance, not just different colours. Three slightly-tweaked card grids isn't a UI prototype, it's wallpaper. If two drafts come out too similar, redo one with explicit "do not use a card grid" guidance.
### 3. Wire them together
Create a single switcher component on the route:
```tsx
// pseudo-code, adapt to the project's framework
const variant = searchParams.get('variant') ?? 'A';
return (
<>
{variant === 'A' && <VariantA {...data} />}
{variant === 'B' && <VariantB {...data} />}
{variant === 'C' && <VariantC {...data} />}
<PrototypeSwitcher variants={['A','B','C']} current={variant} />
</>
);
```
For sub-shape A (existing page): keep all the existing data fetching above the switcher; only the rendered subtree changes per variant.
For sub-shape B (new page): the throwaway route under `/prototype/<name>` mounts the same switcher.
### 4. Build the floating switcher
A small fixed-position bar at the bottom-centre of the screen with three pieces:
- **Left arrow**: cycles to the previous variant (wraps around).
- **Variant label**: shows the current variant key and, if the variant exports a name, that name too. e.g. `B (Sidebar layout)`.
- **Right arrow**: cycles forward (wraps around).
Behaviour:
- Clicking an arrow updates the URL search param (use the framework's router, e.g. `router.replace` on Next, `navigate` on React Router, etc) so the variant is shareable and reload-stable.
- Keyboard: `←` and `→` arrow keys also cycle. Don't intercept arrow keys when an `<input>`, `<textarea>`, or `[contenteditable]` is focused.
- Visually distinct from the page (e.g. high-contrast pill, subtle shadow) so it's obviously not part of the design being evaluated.
- Hidden in production builds: gate on `process.env.NODE_ENV !== 'production'` or an equivalent check, so a stray prototype merge can't ship the bar to users.
Put the switcher in a single shared component so both sub-shapes can reuse it. Locate it wherever shared UI lives in the project.
### 5. Hand it over
Surface the URL (and the `?variant=` keys). The user will flip through whenever they get to it. The interesting feedback is usually **"I want the header from B with the sidebar from C"**, which is the actual design they want.
### 6. Capture the answer and clean up
Once a variant has won, capture the answer (which variant and why), then capture the prototype the way the [SKILL](SKILL.md) describes. Fold the winner into the real code and move the rest onto the throwaway branch, not into main:
- **Sub-shape A**: fold the winner into the existing page; drop the losing variants and the switcher from main.
- **Sub-shape B**: promote the winning variant to a real route; drop the throwaway route and the switcher from main.
The full set of variants is the primary source, so it lands on the throwaway branch, not the bin, since variant components and the switcher left in the main branch rot fast and confuse the next reader.
## Anti-patterns
- **Variants that differ only in colour or copy.** That's a tweak, not a prototype. Real variants disagree about structure.
- **Sharing too much code between variants.** A shared `<Header>` is fine; a shared `<Layout>` defeats the point. Each variant should be free to throw out the layout.
- **Wiring variants to real mutations.** Read-only prototypes are fine. If a variant needs to mutate, point it at a stub: the question is "what should this look like", not "does the backend work".
- **Promoting the prototype directly to production.** The variant code was written under prototype constraints (no tests, minimal error handling). Rewrite it properly when you fold it in.
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interface:
display_name: "Prototype"
short_description: "Prototype to answer a design question"
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---
name: research
description: Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
---
Spin up a **background agent** to do the research, so you keep working while it reads. Start it with a fresh context window.
Its job:
1. Investigate the question against **primary sources** (official docs, source code, specs, first-party APIs), not a secondary write-up of them. Follow every claim back to the source that owns it.
2. Write the findings to a single Markdown file, citing each claim's source.
3. Save it where the repo already keeps such notes; match the existing convention, and if there is none, put it somewhere sensible and say where.
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interface:
display_name: "Research"
short_description: "Research from high-trust sources"
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---
name: retro
description: "Conduct a retrospective on a coding session."
disable-model-invocation: true
---
The user has asked for a **retrospective**. You are suggesting improvements to the coding agent's **environment** to improve future runs.
## Steps
1. Call the Skill tool with `writing-for-agents` for the writing style guide.
2. Read the primary sources for the session the user specifies. This may mean searching through session logs on this machine. If the user doesn't specify a session, default to the current one.
3. Look for candidates for improvement in these categories.
- **Navigation**: how easy was it for the agent to find the right files? Are there hidden dependencies between files? Would a **navigation pointer** make it easier? _Use when_ the session took a long time to find a piece of information.
- **Automated checks**: are there automated checks that could catch errors the agent made? Linting, typing, tests, filesystem linters? Read the repo's own check command first (its `package.json`/build-tool `lint`/`check` scripts, its CI workflow), so a check that already exists but sits unwired or silently broken is the finding, not a reinvention. A repo with no **guardrail** (no pre-commit hook and no CI job running its lint/typecheck/test command) is itself a finding: an un-linted repo is a standing missed opportunity, not a neutral default. _Use when_ the agent made a mistake an automated check could have caught, or the repo has no guardrail at all.
- **Coding standards**: should the **reviewer agent** be given a new rule to enforce? Should an existing rule be removed or clarified? Classify the violation first: a **mechanical** one (a fixed syntactic pattern, a banned API, an import shape, a file-location rule) gets a deterministic check, full stop: a custom rule in the repo's own linter, a new pre-commit hook, or a new CI job, whichever the repo's language and existing guardrail make cheapest. Default to building the check over writing the rule. Reserve `CODING_STANDARDS.md` for genuine **judgement calls** (cross-file consistency, "matches the surrounding style," anything no guardrail could ever substitute for). _Use when_ the reviewer agent failed to catch a mistake.
- **Global AGENTS.md**: are there any steering instructions that should be moved to coding standards (or automated checks) instead? _Use when_ the AGENTS.md file is particularly large - in the repo OR the user's global scope.
- **Tool economy**: did the agent make expensive tool calls that could be streamlined? Is there any custom tooling (CLI's, MCP's) that is particularly token-inefficient? _Use when_ the agent made an expensive tool call.
- **No-ops**: look for instructions in steering files that don't modify the agent's behavior. _Use when_ the steering files are large and unwieldy.
- **Information access**: look for opportunities to increase the agent's access to information. Teeing dev server logs, readonly access to third-party services. _Use when_ a crucial piece of information was not available to the agent.
4. Present these candidates to the user, in order of severity.
## Reference
### Implementation vs Review
Remember that all work goes through two stages: implementation and review. The implementation agent has the most **context pressure**. They are responsible for exploration, writing code, and debugging failures.
The review agent has the least context pressure - it receives a diff, so no exploration needed. It often does not need to write code or debug.
This means that the review agent should be responsible for imposing coding standards, not the implementation agent.
### Files
You have access to several files in the repo:
- `CLAUDE.md`/`AGENTS.md`: these files are pushed to the context window of any agent working in this repo. They should be used incredibly sparingly, usually only for **navigation pointers** to other files.
- `CODING_STANDARDS.md`: this file is read during review, not implementation. Add **navigation pointers** to docs folders if the standards file gets more than 1,000 lines long.
- Docs: use docs as references files, pointed to by other files. Look for existing docs before writing new ones.
- Skills: use skills for docs (since their description goes into the agent's context window), or for user-invoked commands. Follow the advice in the `writing-for-agents` skill.
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interface:
display_name: "Retro"
short_description: "Conduct a retrospective on a coding session."
policy:
allow_implicit_invocation: false
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---
name: setup-matt-pocock-skills
description: "Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills."
disable-model-invocation: true
---
# Setup Matt Pocock's Skills
Scaffold the per-repo configuration that the engineering skills assume:
- **Issue tracker**: where issues live (GitHub by default; local markdown is also supported out of the box)
- **Triage labels**: the strings used for the five canonical triage roles
- **Domain docs**: where `GLOSSARY.md` and ADRs live, and the consumer rules for reading them
This is a prompt-driven skill, not a deterministic script. Explore, present what you found, confirm with the user, then write.
## Process
### 1. Explore
Look at the current repo to understand its starting state. Read whatever exists; don't assume:
- `git remote -v` and `.git/config`: is this a GitHub repo? Which one?
- `AGENTS.md` and `CLAUDE.md` at the repo root: does either exist? Is there already an `## Agent skills` section in either?
- `GLOSSARY.md` and `GLOSSARY-MAP.md` at the repo root, and the legacy `CONTEXT.md` / `CONTEXT-MAP.md`. If a legacy file exists, offer to `git mv` it to its `GLOSSARY` name and rewrite those names in `docs/agents/domain.md`.
- `docs/adr/` and any `src/*/docs/adr/` directories
- `docs/agents/`: does this skill's prior output already exist?
- `.scratch/`: a sign that a local-markdown issue tracker convention is already in use
- Is the `triage` skill installed? (a `triage` skill folder alongside this one, or `triage` in your available skills.) This decides whether Section B runs at all.
- Monorepo signals: a `pnpm-workspace.yaml`, a `workspaces` field in `package.json`, or a populated `packages/*` with its own `src/`. These are present only in a genuinely large multi-package repo; their absence means single-context, which is almost every repo.
### 2. Present findings and ask
Summarise what's present and what's missing. Then take the sections in order. One section, one answer, then the next.
Lead each section with the recommended answer so the user can accept it in a word. Give a one-line explainer only when the choice genuinely branches; skip the section entirely when exploration already settled it (Section B when `triage` isn't installed, Section C when there's no monorepo).
**Section A: Issue tracker.**
> Explainer: The "issue tracker" is where issues live for this repo. Skills like `to-tickets`, `triage`, and `to-spec` read from and write to it. They need to know whether to call `gh issue create`, write a markdown file under `.scratch/`, or follow some other workflow you describe. Pick the place you actually track work for this repo.
Default posture: these skills were designed for GitHub. If a `git remote` points at GitHub, propose that. If a `git remote` points at GitLab (`gitlab.com` or a self-hosted host), propose GitLab. Otherwise (or if the user prefers), offer:
- **GitHub**: issues live in the repo's GitHub Issues (uses the `gh` CLI)
- **GitLab**: issues live in the repo's GitLab Issues (uses the [`glab`](https://gitlab.com/gitlab-org/cli) CLI)
- **Local markdown**: issues live as files under `.scratch/<feature>/` in this repo (good for solo projects or repos without a remote)
- **Other** (Jira, Linear, etc.): ask the user to describe the workflow in one paragraph; the skill will record it as freeform prose
Record the choice in `docs/agents/issue-tracker.md`. The GitHub and GitLab templates carry a "PRs as a request surface" flag, defaulted **off**. Leave it off and don't raise it: a user who wants external PRs in the triage queue can flip the flag in the file later.
A GitHub or GitLab tracker needs a reachable repo. When the user picks one and no `git remote` points at that host, get the repo URL from them and wire it up (`git init` if needed, `git remote add origin <url>`) before going further. Done when `gh repo view` / `glab repo view` prints the project from inside this directory; if it can't, stop and tell the user what's missing.
**Section B: Triage label vocabulary.** Skip this section entirely if the `triage` skill isn't installed (exploration told you), since an uninstalled skill needs no labels.
If it is installed, ask exactly one question:
> Do you want to keep the default triage labels? (recommended: **yes**)
The defaults are the five canonical roles, each label string equal to its name: `needs-triage`, `needs-info`, `ready-for-agent`, `ready-for-human`, `wontfix`. On **yes**, write them as-is. Only if the user says no, usually because their tracker already uses other names (e.g. `bug:triage` for `needs-triage`), collect the overrides so `triage` applies existing labels instead of creating duplicates.
**Section C: Domain docs.** Default to **single-context** (one `GLOSSARY.md` + `docs/adr/` at the repo root). This fits almost every repo; write it without asking.
Offer **multi-context** (a root `GLOSSARY-MAP.md` pointing to per-context `GLOSSARY.md` files) only when exploration found monorepo signals. Then confirm which layout they want.
### 3. Confirm and edit
Show the user a draft of:
- The `## Agent skills` block to add to whichever of `CLAUDE.md` / `AGENTS.md` is being edited (see step 4 for selection rules)
- The contents of `docs/agents/issue-tracker.md`, `docs/agents/domain.md`, and `docs/agents/triage-labels.md` (the last only when `triage` is installed)
Let them edit before writing.
### 4. Write
**Pick the file to edit:**
- If `CLAUDE.md` exists, edit it.
- Else if `AGENTS.md` exists, edit it.
- If neither exists, ask the user which one to create; don't pick for them.
Never create `AGENTS.md` when `CLAUDE.md` already exists (or vice versa); always edit the one that's already there.
If an `## Agent skills` block already exists in the chosen file, update its contents in-place rather than appending a duplicate. Don't overwrite user edits to the surrounding sections.
The block:
```markdown
## Agent skills
### Issue tracker
[one-line summary of where issues are tracked]. See `docs/agents/issue-tracker.md`.
### Triage labels
[one-line summary of the label vocabulary]. See `docs/agents/triage-labels.md`.
### Domain docs
[one-line summary of layout: "single-context" or "multi-context"]. See `docs/agents/domain.md`.
```
Include the `### Triage labels` sub-block, and write `docs/agents/triage-labels.md`, only when `triage` is installed and Section B ran. When it isn't, both are omitted.
When Section B ran on GitHub or GitLab, create each configured label the tracker lacks (`gh label create` / `glab label create`).
Then write the docs files using the seed templates in this skill folder as a starting point:
- [issue-tracker-github.md](./issue-tracker-github.md): GitHub issue tracker
- [issue-tracker-gitlab.md](./issue-tracker-gitlab.md): GitLab issue tracker
- [issue-tracker-local.md](./issue-tracker-local.md): local-markdown issue tracker
- [triage-labels.md](./triage-labels.md): label mapping (only if `triage` is installed)
- [domain.md](./domain.md): domain doc consumer rules + layout
For "other" issue trackers, write `docs/agents/issue-tracker.md` from scratch using the user's description.
### 5. Done
Tell the user the setup is complete and which engineering skills will now read from these files. Mention they can edit `docs/agents/*.md` directly later; re-running this skill is only necessary if they want to switch issue trackers or restart from scratch.
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interface:
display_name: "Setup Matt Pocock Skills"
short_description: "Configure a repo for the skills"
policy:
allow_implicit_invocation: false
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# Domain Docs
How the engineering skills should consume this repo's domain documentation when exploring the codebase.
## Before exploring, read these
- **`GLOSSARY.md`** at the repo root, or
- **`GLOSSARY-MAP.md`** at the repo root if it exists: it points at one `GLOSSARY.md` per context. Read each one relevant to the topic.
- **`docs/adr/`**: read ADRs that touch the area you're about to work in. In multi-context repos, also check `src/<context>/docs/adr/` for context-scoped decisions.
If any of these files don't exist, **proceed silently**. Don't flag their absence; don't suggest creating them upfront. The `/domain-modeling` skill (reached via `/grill-with-docs` and `/improve-codebase-architecture`) creates them lazily when terms or decisions actually get resolved.
## File structure
Single-context repo (most repos):
```
/
├── GLOSSARY.md
├── docs/adr/
│ ├── 0001-event-sourced-orders.md
│ └── 0002-postgres-for-write-model.md
└── src/
```
Multi-context repo (presence of `GLOSSARY-MAP.md` at the root):
```
/
├── GLOSSARY-MAP.md
├── docs/adr/ ← system-wide decisions
└── src/
├── ordering/
│ ├── GLOSSARY.md
│ └── docs/adr/ ← context-specific decisions
└── billing/
├── GLOSSARY.md
└── docs/adr/
```
## Use the glossary's vocabulary
When your output names a domain concept (in an issue title, a refactor proposal, a hypothesis, a test name), use the term as defined in `GLOSSARY.md`. Don't drift to synonyms the glossary explicitly avoids.
If the concept you need isn't in the glossary yet, that's a signal: either you're inventing language the project doesn't use (reconsider) or there's a real gap (note it for `/domain-modeling`).
## Flag ADR conflicts
If your output contradicts an existing ADR, surface it explicitly rather than silently overriding:
> _Contradicts ADR-0007 (event-sourced orders), but worth reopening because…_
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# Issue tracker: GitHub
Issues and specs for this repo live as GitHub issues. Use the `gh` CLI for all operations.
## Conventions
- **Create an issue**: `gh issue create --title "..." --body "..."`. Use a heredoc for multi-line bodies.
- **Read an issue**: `gh issue view <number> --json number,title,body,labels,comments`.
- **List issues**: `gh issue list --state open --json number,title,body,labels,comments --jq '[.[] | {number, title, body, labels: [.labels[].name], comments: [.comments[].body]}]'` with appropriate `--label` and `--state` filters.
- **Make an issue a sub-issue of a parent**: `gh issue create --parent <parent> ...`, or `gh issue edit <parent> --add-sub-issue <child>` afterwards (`gh` 2.94+). Older `gh`: `gh api --method POST repos/<owner>/<repo>/issues/<parent>/sub_issues -F sub_issue_id=<child-db-id>` (database id, as in **Blocking** below). Without sub-issues, put `Part of #<parent>` at the top of the child body.
- **Blocking**: GitHub's **native issue dependencies**, the canonical, UI-visible representation. Add an edge with `gh issue create --blocked-by <n>,<n> ...` or `gh issue edit <child> --add-blocked-by <blocker>` (`gh` 2.94+). Older `gh`: `gh api --method POST repos/<owner>/<repo>/issues/<child>/dependencies/blocked_by -F issue_id=<blocker-db-id>`, where `<blocker-db-id>` is the blocker's numeric **database id** (`gh api repos/<owner>/<repo>/issues/<n> --jq .id`, _not_ the `#number` or `node_id`). Where dependencies aren't available, fall back to a `Blocked by: #<n>, #<n>` line at the top of the child body. A ticket is unblocked when every blocker is closed.
- **Count open blockers**: `gh api repos/<owner>/<repo>/issues/<n> --jq .issue_dependencies_summary.blocked_by` (open blockers only; 0 means startable). `gh issue view <n> --json blockedBy` also lists closed blockers, so filter it: `--jq '[.blockedBy.nodes[] | select(.state == "OPEN")] | length'`.
- **Comment on an issue**: `gh issue comment <number> --body "..."`
- **Apply / remove labels**: `gh issue edit <number> --add-label "..."` / `--remove-label "..."`
- **Close**: post the explanation with `gh issue comment <number> --body "..."`, then `gh issue close <number>`. On an already-closed issue, `gh issue close --comment` drops the comment and still exits 0.
Infer the repo from `git remote -v`; `gh` does this automatically when run inside a clone.
File issues only into the user's own repo. Never file into `mattpocock/skills` (the repo these skills come from) unless the user owns it. In a fork, `gh` can default to the upstream parent, so before the first `gh issue create` of a session, check the target with `gh repo view --json nameWithOwner` and confirm it with the user if it is not their repo.
## Pull requests as a triage surface
**PRs as a request surface: no.** _(Set to `yes` if this repo treats external PRs as feature requests; `/triage` reads this flag.)_
When set to `yes`, PRs run through the same labels and states as issues, using the `gh pr` equivalents:
- **Read a PR**: `gh pr view <number>`, then `gh pr view <number> --comments` (off a TTY, `--comments` prints only the comments, not the body), and `gh pr diff <number>` for the diff.
- **List external PRs for triage**: `gh api --paginate 'repos/{owner}/{repo}/pulls?state=open' --jq '.[] | select(.author_association | IN("OWNER","MEMBER","COLLABORATOR") | not) | {number, title, author: .user.login, author_association, labels: [.labels[].name]}'`.
- **Comment / label / close**: `gh pr comment`, `gh pr edit --add-label`/`--remove-label`, `gh pr close`.
GitHub shares one number space across issues and PRs, so a bare `#42` may be either: resolve with `gh pr view 42` and fall back to `gh issue view 42`.
## When a skill says "publish to the issue tracker"
Create a GitHub issue.
## When a skill says "fetch the relevant ticket"
Read it as in **Read an issue** above.
## Wayfinding operations
Used by `/wayfinder`. The **map** is a single issue with **child** issues as tickets.
- **Map**: a single issue labelled `wayfinder:map`, holding the Notes / Decisions-so-far / Fog body. `gh issue create --label wayfinder:map`.
- **Child ticket**: an issue linked to the map as a GitHub sub-issue (see **Make an issue a sub-issue of a parent**). Where sub-issues aren't enabled, add the child to a task list in the map body and put `Part of #<map>` at the top of the child body. Labels: `wayfinder:<type>` (`research`/`prototype`/`grilling`/`task`). Once claimed, the ticket is assigned to the driving dev.
- **Blocking**: see **Blocking** under Conventions.
- **Frontier query**: list the map's open children (`gh issue list --state open`, scoped to the map's sub-issues / task list), drop any with an open blocker (see **Count open blockers**, or an open issue in the `Blocked by` line) or an assignee; first in map order wins.
- **Claim**: `gh issue edit <n> --add-assignee @me`, the session's first write.
- **Resolve**: `gh issue comment <n> --body "<answer>"`, then `gh issue close <n>`, then append a context pointer (gist + link) to the map's Decisions-so-far.
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# Issue tracker: GitLab
Issues and specs for this repo live as GitLab issues. Use the [`glab`](https://gitlab.com/gitlab-org/cli) CLI for all operations.
## Conventions
- **Create an issue**: `glab issue create --title "..." --description "..."`. Use a heredoc for multi-line descriptions. Pass `--description -` to open an editor.
- **Read an issue**: `glab issue view <number> --comments`. Use `-F json` for machine-readable output.
- **List issues**: `glab issue list -O json` with appropriate `--label` filters.
- **Comment on an issue**: `glab issue note <number> --message "..."`. GitLab calls comments "notes".
- **Apply / remove labels**: `glab issue update <number> --label "..."` / `--unlabel "..."`. Multiple labels can be comma-separated or by repeating the flag.
- **Close**: `glab issue close <number>`. `glab issue close` does not accept a closing comment, so post the explanation first with `glab issue note <number> --message "..."`, then close.
- **Merge requests**: GitLab calls PRs "merge requests". Use `glab mr create`, `glab mr view`, `glab mr note`, etc., the same shape as `gh pr ...` with `mr` in place of `pr` and `note`/`--message` in place of `comment`/`--body`.
Infer the repo from `git remote -v`; `glab` does this automatically when run inside a clone.
## Merge requests as a triage surface
**MRs as a request surface: no.** _(Set to `yes` if this repo treats external merge requests as feature requests; `/triage` reads this flag.)_
When set to `yes`, MRs run through the same labels and states as issues, using the `glab mr` equivalents:
- **Read an MR**: `glab mr view <number> --comments` and `glab mr diff <number>` for the diff.
- **List external MRs for triage**: `glab mr list -O json`, then keep only MRs whose author is not a project member/owner (a contributor's MR, not a maintainer's in-flight work).
- **Comment / label / close**: `glab mr note`, `glab mr update --label`/`--unlabel`, `glab mr close`.
Unlike GitHub, GitLab numbers issues and MRs separately, so `#42` is unambiguous once you know which surface the maintainer means.
## When a skill says "publish to the issue tracker"
Create a GitLab issue.
## When a skill says "fetch the relevant ticket"
Run `glab issue view <number> --comments`.
## Wayfinding operations
Used by `/wayfinder`. The **map** is a single issue with **child** issues as tickets.
- **Map**: a single issue labelled `wayfinder:map`, holding the Notes / Decisions-so-far / Fog body. `glab issue create --label wayfinder:map`. (On GitLab tiers with native epics, an epic may hold the map instead; a labelled issue works everywhere.)
- **Child ticket**: an issue carrying `Part of #<map>` at the top of its description, linked to the map (`glab issue create --linked-issues <map> --link-type relates_to`), and labels `wayfinder:<type>` (`research`/`prototype`/`grilling`/`task`). Once claimed, the ticket is assigned to the driving dev.
- **Blocking**: GitLab's **native blocking link**, the canonical, UI-visible representation. Add it with the `/blocked_by #<n>` quick action, posted as a note (`glab issue note <child> --message "/blocked_by #<blocker>"`). Native blocking links are a Premium/Ultimate feature; on the free tier (or where unavailable) fall back to a `Blocked by: #<n>, #<n>` line at the top of the description. A ticket is unblocked when every blocker is closed.
- **Frontier query**: list the map's children with `glab api projects/:id/issues/<map>/links`, keeping open issues that carry a `wayfinder:<type>` label; drop any with an open blocker: a native `blocked_by` link to an open issue (`glab api projects/:id/issues/<child-iid>/links`), or an open issue in the `Blocked by` line, or an assignee; first in map order wins.
- **Claim**: `glab issue update <n> --assignee @me`, the session's first write.
- **Resolve**: `glab issue note <n> --message "<answer>"`, then `glab issue close <n>`, then append a context pointer (gist + link) to the map's Decisions-so-far.
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# Issue tracker: Local Markdown
Issues and specs for this repo live as markdown files in `.scratch/`.
## Conventions
- One feature per directory: `.scratch/<feature-slug>/`
- The spec is `.scratch/<feature-slug>/spec.md`
- Implementation issues are one file per ticket at `.scratch/<feature-slug>/issues/<NN>-<slug>.md`, numbered from `01`, never a single combined tickets file
- Triage state is recorded as a `Status:` line near the top of each issue file (see `triage-labels.md` for the role strings)
- Comments and conversation history append to the bottom of the file under a `## Comments` heading
## When a skill says "publish to the issue tracker"
Create a new file under `.scratch/<feature-slug>/` (creating the directory if needed).
## When a skill says "fetch the relevant ticket"
Read the file at the referenced path. The user will normally pass the path or the issue number directly.
## Wayfinding operations
Used by `/wayfinder`. The **map** is a file with one **child** file per ticket.
- **Map**: `.scratch/<effort>/map.md` (the Notes / Decisions-so-far / Fog body).
- **Child ticket**: `.scratch/<effort>/issues/NN-<slug>.md`, numbered from `01`, with the question in the body. A `Type:` line records the ticket type (`research`/`prototype`/`grilling`/`task`); a `Status:` line records `claimed`/`resolved`.
- **Blocking**: a `Blocked by: NN, NN` line near the top. A ticket is unblocked when every file it lists is `resolved`.
- **Frontier**: scan `.scratch/<effort>/issues/` for files that are open, unblocked, and unclaimed; first by number wins.
- **Claim**: set `Status: claimed` and save before any work.
- **Resolve**: append the answer under an `## Answer` heading, set `Status: resolved`, then append a context pointer (gist + link) to the map's Decisions-so-far in `map.md`.
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# Triage Labels
The skills speak in terms of five canonical triage roles. This file maps those roles to the actual label strings used in this repo's issue tracker.
| Label in mattpocock/skills | Label in our tracker | Meaning |
| -------------------------- | -------------------- | ---------------------------------------- |
| `needs-triage` | `needs-triage` | Maintainer needs to evaluate this issue |
| `needs-info` | `needs-info` | Waiting on reporter for more information |
| `ready-for-agent` | `ready-for-agent` | Fully specified, ready for an AFK agent |
| `ready-for-human` | `ready-for-human` | Requires human implementation |
| `wontfix` | `wontfix` | Will not be actioned |
When a skill mentions a role (e.g. "apply the AFK-ready triage label"), use the corresponding label string from this table.
Edit the "Label in our tracker" column to match whatever vocabulary you actually use.
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---
name: tdd
description: Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
---
# Test-Driven Development
TDD is the red → green loop. This skill is the reference that makes that loop produce tests worth keeping: what a good test is, where tests go, the anti-patterns, and the rules of the loop. Every section applies on every cycle: consult them before and during the loop, not after.
When exploring the codebase, read `GLOSSARY.md` (if it exists) so test names and interface vocabulary match the project's domain language, and respect ADRs in the area you're touching.
## What a good test is
Tests verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't. A good test reads like a specification: "user can checkout with valid cart" tells you exactly what capability exists, and it survives refactors because it doesn't care about internal structure.
See [tests.md](tests.md) for examples and [mocking.md](mocking.md) for mocking guidelines.
## Seams: where tests go
A **seam** is the public boundary you test at: the interface where you observe behavior without reaching inside. Tests live at seams, never against internals.
**Test only at pre-agreed seams.** Before writing any test, write down the seams under test and confirm them with the user. No test is written at an unconfirmed seam. You can't test everything, so agreeing the seams up front is how testing effort lands on the critical paths and complex logic instead of every edge case.
Ask: "What's the public interface, and which seams should we test?" Give each proposed seam a one-line note on what it catches and what it misses.
When the shape of that interface is itself in question (how deep the module is, where the seam belongs, what the interface should expose), call the Skill tool with "codebase-design" for the vocabulary. It is the shared source of the module, interface, depth, seam, adapter, leverage and locality terms, and it is a reference to consult, not a session to run.
## Anti-patterns
- **Implementation-coupled**: mocks internal collaborators, tests private methods, or verifies through a side channel (querying the database instead of using the interface). The tell: the test breaks when you refactor but behavior hasn't changed.
- **Tautological**: the assertion recomputes the expected value the way the code does (`expect(add(a, b)).toBe(a + b)`, a snapshot derived by hand the same way, a constant asserted equal to itself), so it passes by construction and can never disagree with the code. Expected values must come from an independent source of truth: a known-good literal, a worked example, the spec.
- **Horizontal slicing**: writing all tests first, then all implementation. Bulk tests verify _imagined_ behavior: you test the _shape_ of things rather than user-facing behavior, the tests go insensitive to real changes, and you commit to test structure before understanding the implementation. Work in **vertical slices** instead: one test → one implementation → repeat, each test a **tracer bullet** that responds to what the last cycle taught you.
## Rules of the loop
- **Red before green.** Write the failing test first, then only enough code to pass it. Don't anticipate future tests or add speculative features.
- **One slice at a time.** One seam, one test, one minimal implementation per cycle.
- **Refactoring is not part of the loop.** It belongs to the review stage (see the `code-review` skill), not the red → green implementation cycle.
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interface:
display_name: "TDD"
short_description: "Test-driven red-green-refactor"
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# When to Mock
Mock at **system boundaries** only:
- External APIs (payment, email, etc.)
- Databases (sometimes - prefer test DB)
- Time/randomness
- File system (sometimes)
Don't mock:
- Your own classes/modules
- Internal collaborators
- Anything you control
## Designing for Mockability
At system boundaries, design interfaces that are easy to mock:
**1. Use dependency injection**
Pass external dependencies in rather than creating them internally:
```typescript
// Easy to mock
function processPayment(order, paymentClient) {
return paymentClient.charge(order.total);
}
// Hard to mock
function processPayment(order) {
const client = new StripeClient(process.env.STRIPE_KEY);
return client.charge(order.total);
}
```
**2. Prefer SDK-style interfaces over generic fetchers**
Create specific functions for each external operation instead of one generic function with conditional logic:
```typescript
// GOOD: Each function is independently mockable
const api = {
getUser: (id) => fetch(`/users/${id}`),
getOrders: (userId) => fetch(`/users/${userId}/orders`),
createOrder: (data) => fetch('/orders', { method: 'POST', body: data }),
};
// BAD: Mocking requires conditional logic inside the mock
const api = {
fetch: (endpoint, options) => fetch(endpoint, options),
};
```
The SDK approach means:
- Each mock returns one specific shape
- No conditional logic in test setup
- Easier to see which endpoints a test exercises
- Type safety per endpoint
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# Good and Bad Tests
## Good Tests
**Integration-style**: Test through real interfaces, not mocks of internal parts.
```typescript
// GOOD: Tests observable behavior
test("user can checkout with valid cart", async () => {
const cart = createCart();
cart.add(product);
const result = await checkout(cart, paymentMethod);
expect(result.status).toBe("confirmed");
});
```
Characteristics:
- Tests behavior users/callers care about
- Uses public API only
- Survives internal refactors
- Describes WHAT, not HOW
- One logical assertion per test
## Bad Tests
**Implementation-detail tests**: Coupled to internal structure.
```typescript
// BAD: Tests implementation details
test("checkout calls paymentService.process", async () => {
const mockPayment = jest.mock(paymentService);
await checkout(cart, payment);
expect(mockPayment.process).toHaveBeenCalledWith(cart.total);
});
```
Red flags:
- Mocking internal collaborators
- Testing private methods
- Asserting on call counts/order
- Test breaks when refactoring without behavior change
- Test name describes HOW not WHAT
- Verifying through external means instead of interface
```typescript
// BAD: Bypasses interface to verify
test("createUser saves to database", async () => {
await createUser({ name: "Alice" });
const row = await db.query("SELECT * FROM users WHERE name = ?", ["Alice"]);
expect(row).toBeDefined();
});
// GOOD: Verifies through interface
test("createUser makes user retrievable", async () => {
const user = await createUser({ name: "Alice" });
const retrieved = await getUser(user.id);
expect(retrieved.name).toBe("Alice");
});
```
**Tautological tests**: Expected value restates the implementation, so the test passes by construction.
```typescript
// BAD: Expected value is recomputed the way the code computes it
test("calculateTotal sums line items", () => {
const items = [{ price: 10 }, { price: 5 }];
const expected = items.reduce((sum, i) => sum + i.price, 0);
expect(calculateTotal(items)).toBe(expected);
});
// GOOD: Expected value is an independent, known literal
test("calculateTotal sums line items", () => {
expect(calculateTotal([{ price: 10 }, { price: 5 }])).toBe(15);
});
```
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# GLOSSARY.md Format
`GLOSSARY.md` is the canonical language for this teaching workspace. All explainers, exercises, and learning records should adhere to its terminology. Building it is itself part of learning: compressing a concept into a tight definition is evidence the user understands it.
## Structure
```md
# {Topic} Glossary
{One or two sentence description of the topic this glossary covers.}
## Terms
**Hypertrophy**:
Muscle growth driven by mechanical tension and metabolic stress over repeated training sessions.
_Avoid_: Bulking, getting big
**Progressive overload**:
Systematically increasing the demand on a muscle over time, via load, volume, or intensity.
_Avoid_: Pushing harder, levelling up
**RPE (Rate of Perceived Exertion)**:
A 1–10 self-rating of how hard a set felt, where 10 is failure and 8 means two reps left in the tank.
_Avoid_: Effort score, intensity rating
```
## Rules
- **Add a term only when the user understands it.** The glossary is a record of compressed knowledge, not a dictionary the user reads to learn. If the user has just been introduced to a concept, wait until they can use it correctly before promoting it here.
- **Be opinionated.** When several words exist for the same concept, pick the best one and list the rest as aliases to avoid. This is how language compresses.
- **Keep definitions tight.** One or two sentences. Define what the term IS, not what it does or how to do it.
- **Use the glossary's own terms inside definitions.** Once a term is in the glossary, prefer it everywhere, including inside other definitions. This is what makes complex terms easier to grasp later.
- **Group under subheadings** when natural clusters emerge (e.g. `## Anatomy`, `## Programming`). A flat list is fine when terms cohere.
- **Flag ambiguities explicitly.** If a term is used loosely in the wider field, note the resolution: "In this workspace, 'set' always means a working set; warm-ups are tracked separately."
- **Revise as understanding deepens.** A definition the user wrote in week one may be wrong by week six. Update in place; do not leave stale entries.
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# Learning Record Format
Learning records live in `./learning-records/` and use sequential numbering: `0001-slug.md`, `0002-slug.md`, etc. Create the directory lazily: only when the first record is written.
They are the teaching equivalent of ADRs: they capture non-obvious lessons, key insights, and stated prior knowledge that will steer future sessions. They are used to calculate the zone of proximal development.
## Template
```md
# {Short title of what was learned or established}
{1-3 sentences: what was learned (or what prior knowledge was established), and why it matters for future sessions.}
```
That is the whole format. A learning record can be a single paragraph. The value is recording _that_ this is now known and _why_ it changes what to teach next, not in filling out sections.
## Optional sections
Only include these when they add genuine value. Most records won't need them.
- **Status** frontmatter (`active | superseded by LR-NNNN`): useful when an earlier understanding turns out to be wrong and is replaced.
- **Evidence**: how the user demonstrated the understanding (a question answered, an exercise completed, prior experience cited). Useful when the claim might be revisited.
- **Implications**: what this unlocks or rules out for future sessions. Worth recording when non-obvious.
## Numbering
Scan `./learning-records/` for the highest existing number and increment by one.
## When to write a learning record
Write one when any of these is true:
1. **The user demonstrated genuine understanding of something non-trivial**: not just exposure, but evidence they can use the concept correctly. This sets a new floor for what to teach next.
2. **The user disclosed prior knowledge**: "I already know X." Record it so future sessions don't re-teach it. Also record the _depth_ claimed.
3. **A misconception was corrected**: the user previously believed something wrong and now sees why. These are high-value: they predict future stumbling blocks for related topics.
4. **The mission shifted in response to learning**: the user discovered they cared about something different than they thought. Cross-link to [[MISSION.md]] and update it.
### What does _not_ qualify
- Material that was merely covered. Coverage is not learning. Wait for evidence.
- Anything already captured tersely in [[GLOSSARY.md]] as a term definition. Don't duplicate.
- Session-by-session activity logs. Learning records are not a journal: they are decision-grade insights.
## Supersession
When a later record contradicts an earlier one (the user's understanding deepened or corrected), mark the old record `Status: superseded by LR-NNNN` rather than deleting it. The history of how understanding evolved is itself useful signal.
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# MISSION.md Format
`MISSION.md` lives at the workspace root. It captures the _reason_ the user is learning this topic. Every teaching decision (what to teach next, which resources to surface, which exercises to design) should trace back to this document.
## Template
```md
# Mission: {Topic}
## Why
{1-3 sentences. The concrete real-world goal the user is chasing. What changes in their life or work when they have this skill? Avoid abstract framings like "to understand X"; push for the underlying outcome.}
## Success looks like
- {A specific, observable thing the user will be able to do}
- {Another specific thing}
- {…}
## Constraints
- {Time, budget, prior commitments, learning preferences, anything that bounds the approach}
## Out of scope
- {Adjacent topics the user explicitly does not want to chase right now, protecting the zone of proximal development}
```
## Rules
- **One mission per workspace.** If the user wants to learn two unrelated things, that is two workspaces.
- **Concrete over abstract.** "Run a half marathon by October" beats "get fitter." "Ship a Rust CLI to my team" beats "learn Rust."
- **Push back on vagueness.** If the user cannot articulate why, interview them before writing anything. A bad mission is worse than no mission.
- **Revise when reality shifts.** Missions change. When the user's goal moves, update this file: don't leave a stale mission steering future sessions.
- **Keep it short.** If `MISSION.md` runs past a screen, it has stopped being a compass and started being a plan.
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# RESOURCES.md Format
`RESOURCES.md` is the curated set of trusted sources for this topic. Knowledge for explainers should be drawn from here, not from parametric guesses. Wisdom comes from the communities listed here.
## Structure
```md
# {Topic} Resources
## Knowledge
- [Book: _The Science and Practice of Strength Training_ by Zatsiorsky & Kraemer](https://example.com)
Foundational text on programming and adaptation. Use for: anything to do with periodisation, recovery, intensity zones.
- [Article: "How Much Should I Train?" by Greg Nuckols (Stronger By Science)](https://example.com)
Evidence-based review of volume landmarks. Use for: weekly set targets per muscle group.
## Wisdom (Communities)
- [r/weightroom](https://reddit.com/r/weightroom)
High-signal subreddit, moderated against bro-science. Use for: programme critique, plateau troubleshooting.
- Local: Tuesday strength class at {gym name}
Use for: real-time coaching feedback on lifts.
```
## Rules
- **High-trust only.** Prefer primary sources, recognised experts, peer-reviewed work, and communities with strong moderation. If a resource is marketing dressed as education, leave it out.
- **Annotate every entry.** A bare link is useless in three months. Add one line: what it covers and when to reach for it.
- **Group by Knowledge / Wisdom.** Mirrors the philosophy in [SKILL.md](./SKILL.md). It is fine for a resource to appear in only one group.
- **Surface gaps explicitly.** If no good resource exists for an area the mission needs, write a `## Gaps` section listing what is missing. This drives future search.
- **Prune ruthlessly.** A resource that turned out to be wrong, shallow, or off-mission should be removed, not buried. Better five sharp sources than thirty mediocre ones.
- **Record community preferences.** If the user has opted out of joining communities, note it here so future sessions don't keep proposing them.
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---
name: teach
description: Teach the user a new skill or concept, within this workspace.
disable-model-invocation: true
argument-hint: "What would you like to learn about?"
---
The user has asked you to teach them something. This is a stateful request - they intend to learn the topic over multiple sessions.
## Teaching Workspace
Treat the current directory as a teaching workspace. Workspace paths (`./lessons/` and the rest) resolve from the directory `/teach` was run in; only the `*-FORMAT.md` links resolve from this skill's folder. The state of their learning is captured in this directory in several files:
- `MISSION.md`: A document capturing the _reason_ the user is interested in the topic. This should be used to ground all teaching. Use the format in [MISSION-FORMAT.md](./MISSION-FORMAT.md).
- `./reference/*.html`: A directory of reference materials. These are the compressed learnings from the lessons - cheat sheets, reference algorithms, syntax, yoga poses, glossaries. They are the raw units of learning. They should be beautiful documents which print out well, and are designed for quick reference.
- `RESOURCES.md`: A list of resources which can be explored to ground your teaching in contextual knowledge, or to acquire knowledge and wisdom. Use the format in [RESOURCES-FORMAT.md](./RESOURCES-FORMAT.md).
- `./learning-records/*.md`: A directory of learning records, which capture what the user has learned. These are loosely equivalent to architectural decision records in software development - they capture non-obvious lessons and key insights that may need to be revised later, or drive future sessions. These should be used to calculate the zone of proximal development. They are titled `0001-<dash-case-name>.md`, where the number increments each time. Use the format in [LEARNING-RECORD-FORMAT.md](./LEARNING-RECORD-FORMAT.md).
- `./lessons/*.html`: A directory of lessons. A **lesson** is a single, self-contained HTML output that teaches one tightly-scoped thing tied to the mission. This is the primary unit of teaching in this workspace.
- `./assets/*`: Reusable **components** shared across lessons. See [Assets](#assets).
- `NOTES.md`: A scratchpad for you to jot down user preferences, or working notes.
## Philosophy
To learn at a deep level, the user needs three things:
- **Knowledge**, captured from high-quality, high-trust resources
- **Skills**, acquired through highly-relevant interactive lessons devised by you, based on the knowledge
- **Wisdom**, which comes from interacting with other learners and practitioners
Before the `RESOURCES.md` is well-populated, your focus should be to find high-quality resources which will help the user acquire knowledge. Never trust your parametric knowledge.
Some topics may require more skills than knowledge. Learning more about theoretical physics might be more knowledge-based. For yoga, more skills-based.
### Fluency vs Storage Strength
You should be careful to split between two types of learning:
- **Fluency strength**: in-the-moment retrieval of knowledge
- **Storage strength**: long-term retention of knowledge
Fluency can give the user an illusory sense of mastery, but storage strength is the real goal. Try to design lessons which build long-term retention by desirable difficulty:
- Using retrieval practice (recall from memory)
- Spacing (distributing practice over time)
- Interleaving (mixing up different but related topics in practice - for skills practice only)
## Lessons
A lesson is the main thing you produce: the unit in which knowledge and skills reach the user. Each lesson is one self-contained HTML file, saved to `./lessons/` and titled `0001-<dash-case-name>.html` where the number increments each time.
A lesson should be **beautiful**, with clean, readable typography and layout, since the user will return to these later to review. Think Tufte.
The lesson should be short, and completable very quickly. Learners' working memory is very small, and we need to stay within it. But each lesson should give the user a single tangible win that they can build on. It should be directly tied to the mission, and should be in the user's zone of proximal development.
If possible, open the lesson file for the user by running a CLI command.
Each lesson should link via HTML anchors to other lessons and reference documents.
Each lesson should recommend a primary source for the user to read or watch. This should be the most high-quality, high-trust resource you found on the topic.
Each lesson should contain a reminder to ask followup questions to the agent. The agent is their teacher, and can assist with anything that's unclear.
## Assets
Lessons are built from reusable **components**, stored in `./assets/`: stylesheets, quiz widgets, simulators, diagram helpers, and anything else a second lesson could reuse.
Reuse is the default, not the exception. Before authoring a lesson, read `./assets/` and build from the components already there. When a lesson needs something new and reusable, write it as a component in `./assets/` and link to it; never inline code a future lesson would duplicate.
A shared stylesheet is the first component every workspace earns: every lesson links it, so the lessons look like one consistent course rather than a pile of one-offs. As the workspace grows, so should the component library.
## The Mission
Every lesson should be tied into the mission - the reason that the user is interested in learning about the topic.
If the user is unclear about the mission, or the `MISSION.md` is not populated, your first job should be to question the user on why they want to learn this.
Failing to understand the mission will mean knowledge acquisition is not grounded in real-world goals. Lessons will feel too abstract. You will have no way of judging what the user should do next.
Missions may change as the user develops more skills and knowledge. This is normal - make sure to update the `MISSION.md` and add a learning record to capture the change. Confirm with the user before changing the mission.
## Zone Of Proximal Development
Each lesson, the user should always feel as if they are being challenged 'just enough'.
The user may specify an exact thing they want to learn. If they don't, figure out their zone of proximal development by:
- Reading their `learning-records`
- Figuring out the right thing to teach them based on their mission
- Teach the most relevant thing that fits in their zone of proximal development
## Knowledge
Lessons should be designed around a skill the user is going to learn. The knowledge in the lesson should be only what's required to acquire that skill. You teach the knowledge first, then get the user to practice the skills via an interactive feedback loop.
Knowledge should first be gathered from trusted resources. Use `RESOURCES.md` to keep track of them. Lessons should be littered with citations - links to external resources to back up any claim made. This increases the trustworthiness of the lesson.
For acquiring knowledge, difficulty is the enemy. It eats working memory you need for understanding.
## Skills
If knowledge is all about acquisition, skills are about durability and flexibility. Make the knowledge stick.
For skill acquisition, difficulty is the tool. Effortful retrieval is what builds storage strength. Skills should be taught through interactive lessons. There are several tools at your disposal:
- Interactive lessons, using quizzes and light in-browser tasks
- Lessons which guide the user through a list of real-world steps to take (for instance, yoga poses)
Each of these should be based on a **feedback loop**, where the user receives feedback on their performance. This feedback loop should be as tight as possible, giving feedback immediately - and ideally automatically.
For quizzes, each answer should be exactly the same number of words (and characters, if possible). Vary which position holds the correct answer across questions. Don't give the user any clues about the answer through formatting or order.
## Acquiring Wisdom
Wisdom comes from true real-world interaction - testing your skills outside the learning environment.
When the user asks a question that appears to require wisdom, your default posture should be to attempt to answer - but to ultimately delegate to a **community**.
A community is a place (online or offline) where the user can test their skills in the real world. This might be a forum, a subreddit, a real-world class (budget permitting) or a local interest group.
You should attempt to find high-reputation communities the user can join. If the user expresses a preference that they don't want to join a community, respect it.
## Reference Documents
While creating lessons, you should also create reference documents. Lessons can reference these documents - they are useful for tracking raw units of knowledge useful across lessons.
Lessons will rarely be revisited later - reference documents will be. They should be the compressed essence of the lesson, in a format designed for quick reference.
Some learning topics lend themselves to reference:
- Syntax and code snippets for programming
- Algorithms and flowcharts for processes
- Yoga poses and sequences for yoga
- Exercises and routines for fitness
- Glossaries for any topic with its own nomenclature
Glossaries, in particular, are an essential reference. Once one is created, it should be adhered to in every lesson.
## `NOTES.md`
The user will sometimes express preferences of how they want to be taught, or things you should keep in mind. This is the place to record those preferences, so you can refer back to them when designing lessons or working with the user.
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interface:
display_name: "Teach"
short_description: "Learn a concept in a guided workspace"
policy:
allow_implicit_invocation: false
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---
name: to-questionnaire
description: Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
disable-model-invocation: true
---
Turn something the user can't answer alone into a **questionnaire**: a Markdown document they hand to one person to fill in async, or fill out together over a meeting. The recipient holds knowledge the user lacks; the questionnaire pulls it out of them.
**Grill the send, not the subject.** Interview the user only about the _send_, which they can always answer: who it goes to, and what they need back. The questions in the document then target the **gap** between what the recipient knows and what the user needs.
1. **Who is it going to?** Ask, in one exchange, the recipient's role, expertise, and relationship to the user. This fixes the questionnaire's tone and how much context it must carry. Done when you know who the recipient is and what they know that the user doesn't.
2. **What do you need back?** Ask, in one exchange, the specific decisions or facts the user can't resolve alone and needs from this person. Done when you have a concrete list of what the user must walk away able to do or decide.
3. **Write the questionnaire.** Draft questions aimed at the gap from steps 1–2, following the Document structure below. Write it to `to-questionnaire-<slug>.md` in the current directory (slug from the topic) and report the path. Done when the file exists and every item the user named in step 2 is covered by a question.
## Document structure
Frame the document as a **discovery questionnaire**: the user lacks context, the recipient holds it. Order questions most-important-first, since async means you may only get one pass, and group them under `##` headings by theme once there are more than a handful. Write it using the template below.
<questionnaire-template>
# <Questionnaire title>
**Purpose:** why this questionnaire exists and the decision riding on it.
**From:** <the user>, **To:** <the recipient>, **How your answers will be used:** <where they go>
## Context
One paragraph orienting a recipient who wasn't in the user's head. Enough to answer well, not a page.
## How to answer
Deadline and rough effort. Partial answers and "I don't know" are useful: flag anything you're unsure of rather than skipping it.
## <Theme heading>
One `##` section per theme. Under each, its questions, most-important-first. Every question is one idea, never compound, with an answer stub directly beneath, and a one-line _why this matters_ only where the question could be misread or invite a throwaway answer.
<question-example>
### What load is the system expected to handle at launch?
_Why this matters: it decides whether we provision for burst traffic now or defer it._
>
</question-example>
## Anything else?
A closing catch-all: anything we didn't ask that we should know?
</questionnaire-template>
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interface:
display_name: "To Questionnaire"
short_description: "Front-load questions into a doc for someone to answer"
policy:
allow_implicit_invocation: false
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---
name: to-spec
description: "Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed."
disable-model-invocation: true
---
This skill takes the current conversation context and codebase understanding and produces a spec. Do NOT interview the user; just synthesize what you already know.
The issue tracker and triage label vocabulary should have been provided to you. If not, tell the user to run `/setup-matt-pocock-skills`.
## Process
1. Explore the repo to understand the current state of the codebase, if you haven't already. Use the project's domain glossary vocabulary throughout the spec, and respect any ADRs in the area you're touching.
2. Sketch out the seams at which you're going to test the feature. Existing seams should be preferred to new ones. Use the highest seam possible. If new seams are needed, propose them at the highest point you can. The fewer seams across the codebase, the better - the ideal number is one.
Check with the user that these seams match their expectations.
3. Write the spec using the template below, then publish it to the project issue tracker. Apply the `ready-for-agent` triage label - no need for additional triage.
<spec-template>
## Problem Statement
The problem that the user is facing, from the user's perspective.
## Solution
The solution to the problem, from the user's perspective.
## User Stories
A LONG, numbered list of user stories. Each user story should be in the format of:
1. As an <actor>, I want a <feature>, so that <benefit>
<user-story-example>
1. As a mobile bank customer, I want to see balance on my accounts, so that I can make better informed decisions about my spending
</user-story-example>
This list of user stories should be extremely extensive and cover all aspects of the feature.
## Implementation Decisions
A list of implementation decisions that were made. This can include:
- The modules that will be built/modified
- The interfaces of those modules that will be modified
- Technical clarifications from the developer
- Architectural decisions
- Schema changes
- API contracts
- Specific interactions
Do NOT include specific file paths or code snippets. They may end up being outdated very quickly.
Exception: if a prototype produced a snippet that encodes a decision more precisely than prose can (state machine, reducer, schema, type shape), inline it within the relevant decision and note briefly that it came from a prototype. Trim to the decision-rich parts, not a working demo, just the important bits.
## Testing Decisions
A list of testing decisions that were made. Include:
- A description of what makes a good test (only test external behavior, not implementation details)
- Which modules will be tested
- Prior art for the tests (i.e. similar types of tests in the codebase)
## Out of Scope
A description of the things that are out of scope for this spec.
## Further Notes
Any further notes about the feature.
</spec-template>
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interface:
display_name: "To Spec"
short_description: "Turn a conversation into a spec"
policy:
allow_implicit_invocation: false
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---
name: to-tickets
description: Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker (edges as text in one file per ticket locally, or native blocking links on a real tracker).
disable-model-invocation: true
---
# To Tickets
Break a plan, spec, or conversation into a set of **tickets**: tracer-bullet vertical slices, each declaring the tickets that **block** it.
The issue tracker and triage label vocabulary should have been provided to you. If not, tell the user to run `/setup-matt-pocock-skills`.
## Process
### 1. Gather context
Work from whatever is already in the conversation context. If the user passes a reference (a spec path, an issue number or URL) as an argument, fetch it and read its full body and comments.
### 2. Explore the codebase (optional)
If you have not already explored the codebase, do so to understand the current state of the code. Ticket titles and descriptions should use the project's domain glossary vocabulary, and respect ADRs in the area you're touching.
Look for opportunities to prefactor the code to make the implementation easier. "Make the change easy, then make the easy change."
### 3. Draft vertical slices
Break the work into **tracer bullet** tickets.
<vertical-slice-rules>
- Each slice cuts a narrow but COMPLETE path through every layer (schema, API, UI, tests): vertical, NOT a horizontal slice of one layer
- A completed slice is demoable or verifiable on its own
- Each slice is sized to fit in a single fresh context window
- Any prefactoring should be done first
</vertical-slice-rules>
Give each ticket its **blocking edges**: the other tickets that must complete before it can start. A ticket with no blockers can start immediately.
**Wide refactors are the exception to vertical slicing.** A **wide refactor** is one mechanical change (rename a column, retype a shared symbol) whose **blast radius** fans across the whole codebase, so a single edit breaks thousands of call sites at once and no vertical slice can land green. Don't force it into a tracer bullet; sequence it as **expand–contract**. First expand: add the new form beside the old so nothing breaks. Then migrate the call sites over in batches sized by blast radius (per package, per directory), each batch its own ticket blocked by the expand, keeping CI green batch to batch because the old form still exists. Finally contract: delete the old form once no caller remains, in a ticket blocked by every migrate batch. When even the batches can't stay green alone, keep the sequence but let them share an integration branch that all block a final integrate-and-verify ticket; green is promised only there.
### 4. Quiz the user
Present the proposed breakdown as a numbered list. For each ticket, show:
- **Title**: short descriptive name
- **Blocked by**: which other tickets (if any) must complete first
- **What it delivers**: the end-to-end behaviour this ticket makes work
Ask the user:
- Does the granularity feel right? (too coarse / too fine)
- Are the blocking edges correct: does each ticket only depend on tickets that genuinely gate it?
- Should any tickets be merged or split further?
Iterate until the user approves the breakdown.
### 5. Publish the tickets to the configured tracker
Publish the approved tickets. **How** depends on the tracker `/setup-matt-pocock-skills` configured; the tickets are the same either way, only the shape of the blocking edges changes:
- **Local files** → write one file per ticket under `.scratch/<feature-slug>/issues/<NN>-<slug>.md`, numbered from `01` in dependency order (blockers first). Each file's "Blocked by" lists the numbers/titles it depends on. Use the per-ticket file template below: one ticket per file, never a single combined file.
- **A real issue tracker (GitHub, Linear, …)** → publish one issue per ticket in dependency order (blockers first) so each ticket's blocking edges can reference real identifiers. Use the platform's native blocking relationship where it has one; otherwise set each ticket's "Blocked by" to the blocking issues. If the source was an existing issue, make each ticket its sub-issue (tracker doc's operation). Apply the `ready-for-agent` triage label unless instructed otherwise; the tickets are agent-grabbable by construction.
Work the **frontier**: any ticket whose blockers are all done. For a purely linear chain that means top to bottom.
Do NOT close or modify any parent issue.
<local-ticket-template>
# <NN>: <Ticket title>
**What to build:** the end-to-end behaviour this ticket makes work, from the user's perspective, not a layer-by-layer implementation list.
**Blocked by:** the numbers/titles of the tickets that gate this one, or "None (can start immediately)".
**Status:** ready-for-agent
- [ ] Acceptance criterion 1
- [ ] Acceptance criterion 2
</local-ticket-template>
<issue-template>
## Parent
A reference to the parent issue on the tracker (if the source was an existing issue, otherwise omit this section).
## What to build
The end-to-end behaviour this ticket makes work, from the user's perspective, not layer-by-layer implementation.
## Acceptance criteria
- [ ] Criterion 1
- [ ] Criterion 2
## Blocked by
- A reference to each blocking ticket, or "None (can start immediately)". Omit this section when blockers were set as native edges.
</issue-template>
In either form, avoid specific file paths or code snippets: they go stale fast. Exception: if a prototype produced a snippet that encodes a decision more precisely than prose can (state machine, reducer, schema, type shape), inline it and note briefly that it came from a prototype. Trim to the decision-rich parts, not a working demo, just the important bits.
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interface:
display_name: "To Tickets"
short_description: "Split a plan into tracer-bullet tickets"
policy:
allow_implicit_invocation: false
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# Writing Agent Briefs
An agent brief is a structured comment posted on a GitHub issue or PR when it moves to `ready-for-agent`. It is the authoritative specification that an AFK agent will work from. The original body and discussion are context: the agent brief is the contract.
The brief states **what the agent should do**, which stretches to both surfaces: for an issue, that's building the change from nothing; for a PR, it's what's left to do *to the existing diff*: finish it, close gaps, address review points. Same principles either way; the PR example below shows the difference.
## Principles
### Durability over precision
The issue may sit in `ready-for-agent` for days or weeks. The codebase will change in the meantime. Write the brief so it stays useful even as files are renamed, moved, or refactored.
- **Do** describe interfaces, types, and behavioral contracts
- **Do** name specific types, function signatures, or config shapes that the agent should look for or modify
- **Don't** reference file paths: they go stale
- **Don't** reference line numbers
- **Don't** assume the current implementation structure will remain the same
### Behavioral, not procedural
Describe **what** the system should do, not **how** to implement it. The agent will explore the codebase fresh and make its own implementation decisions.
- **Good:** "The `SkillConfig` type should accept an optional `schedule` field of type `CronExpression`"
- **Bad:** "Open src/types/skill.ts and add a schedule field on line 42"
- **Good:** "When a user runs `/triage` with no arguments, they should see a summary of issues needing attention"
- **Bad:** "Add a switch statement in the main handler function"
### Complete acceptance criteria
The agent needs to know when it's done. Every agent brief must have concrete, testable acceptance criteria. Each criterion should be independently verifiable.
- **Good:** "Running `gh issue list --label needs-triage` returns issues that have been through initial classification"
- **Bad:** "Triage should work correctly"
### Explicit scope boundaries
State what is out of scope. This prevents the agent from gold-plating or making assumptions about adjacent features.
## Template
```markdown
## Agent Brief
**Category:** bug / enhancement
**Summary:** one-line description of what needs to happen
**Current behavior:**
Describe what happens now. For bugs, this is the broken behavior.
For enhancements, this is the status quo the feature builds on.
**Desired behavior:**
Describe what should happen after the agent's work is complete.
Be specific about edge cases and error conditions.
**Key interfaces:**
- `TypeName`: what needs to change and why
- `functionName()` return type: what it currently returns vs what it should return
- Config shape: any new configuration options needed
**Acceptance criteria:**
- [ ] Specific, testable criterion 1
- [ ] Specific, testable criterion 2
- [ ] Specific, testable criterion 3
**Out of scope:**
- Thing that should NOT be changed or addressed in this issue
- Adjacent feature that might seem related but is separate
```
## Examples
### Good agent brief (bug)
```markdown
## Agent Brief
**Category:** bug
**Summary:** Skill description truncation drops mid-word, producing broken output
**Current behavior:**
When a skill description exceeds 1024 characters, it is truncated at exactly
1024 characters regardless of word boundaries. This produces descriptions
that end mid-word (e.g. "Use when the user wants to confi").
**Desired behavior:**
Truncation should break at the last word boundary before 1024 characters
and append "..." to indicate truncation.
**Key interfaces:**
- The `SkillMetadata` type's `description` field: no type change needed,
but the validation/processing logic that populates it needs to respect
word boundaries
- Any function that reads SKILL.md frontmatter and extracts the description
**Acceptance criteria:**
- [ ] Descriptions under 1024 chars are unchanged
- [ ] Descriptions over 1024 chars are truncated at the last word boundary
before 1024 chars
- [ ] Truncated descriptions end with "..."
- [ ] The total length including "..." does not exceed 1024 chars
**Out of scope:**
- Changing the 1024 char limit itself
- Multi-line description support
```
### Good agent brief (enhancement)
```markdown
## Agent Brief
**Category:** enhancement
**Summary:** Add `.out-of-scope/` directory support for tracking rejected feature requests
**Current behavior:**
When a feature request is rejected, the issue is closed with a `wontfix` label
and a comment. There is no persistent record of the decision or reasoning.
Future similar requests require the maintainer to recall or search for the
prior discussion.
**Desired behavior:**
Rejected feature requests should be documented in `.out-of-scope/<concept>.md`
files that capture the decision, reasoning, and links to all issues that
requested the feature. When triaging new issues, these files should be
checked for matches.
**Key interfaces:**
- Markdown file format in `.out-of-scope/`: each file should have a
`# Concept Name` heading, a `**Decision:**` line, a `**Reason:**` line,
and a `**Prior requests:**` list with issue links
- The triage workflow should read all `.out-of-scope/*.md` files early
and match incoming issues against them by concept similarity
**Acceptance criteria:**
- [ ] Closing a feature as wontfix creates/updates a file in `.out-of-scope/`
- [ ] The file includes the decision, reasoning, and link to the closed issue
- [ ] If a matching `.out-of-scope/` file already exists, the new issue is
appended to its "Prior requests" list rather than creating a duplicate
- [ ] During triage, existing `.out-of-scope/` files are checked and surfaced
when a new issue matches a prior rejection
**Out of scope:**
- Automated matching (human confirms the match)
- Reopening previously rejected features
- Bug reports (only enhancement rejections go to `.out-of-scope/`)
```
### Good agent brief (PR)
For a PR, "Current behavior" describes the state of the diff, and the brief asks the agent to finish or fix it rather than build from scratch.
```markdown
## Agent Brief
**Category:** enhancement
**Summary:** Finish the contributor's `--json` output flag for `triage list`
**Current behavior:**
The PR adds a `--json` flag that serializes the issue list to JSON. The happy
path works and the diff matches the project's command structure. Two gaps
remain: errors are still printed as human text (not JSON), and the new flag has
no test coverage.
**Desired behavior:**
With `--json`, all output (including errors) is well-formed JSON on stdout,
and the command's exit codes are unchanged. The existing human-readable output
is untouched when the flag is absent.
**Key interfaces:**
- The command's error path should emit `{ "error": string }` under `--json`
instead of the plain-text error
- Reuse the existing serializer the PR already added; don't introduce a second
**Acceptance criteria:**
- [ ] `triage list --json` emits valid JSON for both success and error cases
- [ ] Exit codes match the non-JSON command
- [ ] A test covers the `--json` success output and one error case
- [ ] Default (non-JSON) output is byte-for-byte unchanged
**Out of scope:**
- Adding `--json` to any other command
- Changing the JSON shape of the success payload the PR already defined
```
### Bad agent brief
```markdown
## Agent Brief
**Summary:** Fix the triage bug
**What to do:**
The triage thing is broken. Look at the main file and fix it.
The function around line 150 has the issue.
**Files to change:**
- src/triage/handler.ts (line 150)
- src/types.ts (line 42)
```
This is bad because:
- No category
- Vague description ("the triage thing is broken")
- References file paths and line numbers that will go stale
- No acceptance criteria
- No scope boundaries
- No description of current vs desired behavior
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# Out-of-Scope Knowledge Base
The `.out-of-scope/` directory in a repo stores persistent records of rejected feature requests. It serves two purposes:
1. **Institutional memory**: why a feature was rejected, so the reasoning isn't lost when the issue is closed
2. **Deduplication**: when a new issue comes in that matches a prior rejection, the skill can surface the previous decision instead of re-litigating it
## Directory structure
```
.out-of-scope/
├── dark-mode.md
├── plugin-system.md
└── graphql-api.md
```
One file per **concept**, not per issue. Multiple issues requesting the same thing are grouped under one file.
## File format
The file should be written in a relaxed, readable style, more like a short design document than a database entry. Use paragraphs, code samples, and examples to make the reasoning clear and useful to someone encountering it for the first time.
```markdown
# Dark Mode
This project does not support dark mode or user-facing theming.
## Why this is out of scope
The rendering pipeline assumes a single color palette defined in
`ThemeConfig`. Supporting multiple themes would require:
- A theme context provider wrapping the entire component tree
- Per-component theme-aware style resolution
- A persistence layer for user theme preferences
This is a significant architectural change that doesn't align with the
project's focus on content authoring. Theming is a concern for downstream
consumers who embed or redistribute the output.
```ts
// The current ThemeConfig interface is not designed for runtime switching:
interface ThemeConfig {
colors: ColorPalette; // single palette, resolved at build time
fonts: FontStack;
}
```
## Prior requests
- #42: "Add dark mode support"
- #87: "Night theme for accessibility"
- #134: "Dark theme option"
```
### Naming the file
Use a short, descriptive kebab-case name for the concept: `dark-mode.md`, `plugin-system.md`, `graphql-api.md`. The name should be recognizable enough that someone browsing the directory understands what was rejected without opening the file.
### Writing the reason
The reason should be substantive: not "we don't want this" but why. Good reasons reference:
- Project scope or philosophy ("This project focuses on X; theming is a downstream concern")
- Technical constraints ("Supporting this would require Y, which conflicts with our Z architecture")
- Strategic decisions ("We chose to use A instead of B because...")
The reason should be durable. Avoid referencing temporary circumstances ("we're too busy right now"); those aren't real rejections, they're deferrals.
## When to check `.out-of-scope/`
During triage (Step 1: Gather context), read all files in `.out-of-scope/`. When evaluating a new issue:
- Check if the request matches an existing out-of-scope concept
- Matching is by concept similarity, not keyword: "night theme" matches `dark-mode.md`
- If there's a match, surface it to the maintainer: "This is similar to `.out-of-scope/dark-mode.md`. We rejected this before because [reason]. Do you still feel the same way?"
The maintainer may:
- **Confirm**: the new issue gets added to the existing file's "Prior requests" list, then closed
- **Reconsider**: the out-of-scope file gets deleted or updated, and the issue proceeds through normal triage
- **Disagree**: the issues are related but distinct, proceed with normal triage
## When to write to `.out-of-scope/`
Only when an **enhancement** (not a bug) is *rejected* as `wontfix`. This applies to enhancement PRs exactly as it does to issues: a rejected PR is recorded here so the same request doesn't return as fresh code.
Do **not** write here when something is closed as `wontfix` because it's **already implemented**. That's a built feature, not a rejected one; recording it would poison the dedup checks with false rejections. Instead, the closing comment points to where the feature already lives.
The flow:
1. Maintainer decides a feature request is out of scope
2. Check if a matching `.out-of-scope/` file already exists
3. If yes: append the new issue to the "Prior requests" list
4. If no: create a new file with the concept name, decision, reason, and first prior request
5. Post a comment on the issue explaining the decision and mentioning the `.out-of-scope/` file
6. Close the issue with the `wontfix` label
## Updating or removing out-of-scope files
If the maintainer changes their mind about a previously rejected concept:
- Delete the `.out-of-scope/` file
- The skill does not need to reopen old issues; they're historical records
- The new issue that triggered the reconsideration proceeds through normal triage
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---
name: triage
description: Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.
disable-model-invocation: true
---
# Triage
Move issues on the project issue tracker through a small state machine of triage roles.
If this repo treats external pull requests as a request surface (see the issue-tracker config), triage covers them too: **a PR is an issue with attached code**, using the same roles, same states, and same machine, with a few deltas marked "for a PR" below. Resolve a bare `#42` to an issue or PR per the tracker config.
Every comment or issue posted to the issue tracker during triage **must** start with this disclaimer:
```
> *This was generated by AI during triage.*
```
## Reference docs
- [AGENT-BRIEF.md](AGENT-BRIEF.md): how to write durable agent briefs
- [OUT-OF-SCOPE.md](OUT-OF-SCOPE.md): how the `.out-of-scope/` knowledge base works
## Roles
Two **category** roles:
- `bug`: something is broken
- `enhancement`: new feature or improvement
Five **state** roles:
- `needs-triage`: maintainer needs to evaluate
- `needs-info`: waiting on reporter for more information
- `ready-for-agent`: fully specified, ready for an AFK agent
- `ready-for-human`: needs human implementation
- `wontfix`: will not be actioned
For a PR, the same states read against the attached code: `ready-for-agent` means a brief is attached and an agent should take the next step on the diff; `ready-for-human` means it's ready for a human to merge.
Every triaged issue should carry exactly one category role and one state role. If state roles conflict, flag it and ask the maintainer before doing anything else.
These are canonical role names. The actual label strings used in the issue tracker may differ. The mapping should have been provided to you. If not, tell the user to run `/setup-matt-pocock-skills`.
State transitions: an unlabeled issue normally goes to `needs-triage` first; from there it moves to `needs-info`, `ready-for-agent`, `ready-for-human`, or `wontfix`. `needs-info` returns to `needs-triage` once the reporter replies. The maintainer can override at any time; flag transitions that look unusual and ask before proceeding.
## Invocation
The maintainer invokes `/triage` and describes what they want in natural language. Interpret the request and act. Examples:
- "Show me anything that needs my attention"
- "Let's look at #42" (issue or PR)
- "Move #42 to ready-for-agent"
- "What's ready for agents to pick up?"
## Show what needs attention
Query the issue tracker and present three buckets, oldest first:
1. **Unlabeled**: never triaged.
2. **`needs-triage`**: evaluation in progress.
3. **`needs-info` with reporter activity since the last triage notes**: needs re-evaluation.
When PRs are in scope, include external PRs in these buckets and tag each line `[PR]` or `[issue]`. Discovery surfaces only *external* PRs (the tracker config defines who counts as external), so a collaborator's in-flight PR is not triage work. This filter is discovery-only; an explicitly named PR is always triaged regardless of author.
Show counts and a one-line summary per item. Let the maintainer pick.
## Triage a specific issue or PR
1. **Gather context.** Read the full issue or PR (body, comments, labels, author, dates; for a PR, the diff too). Parse any prior triage notes so you don't re-ask resolved questions. Explore the codebase using the project's domain glossary, respecting ADRs in the area. Run two checks against the codebase: (a) **redundancy**: search for an existing implementation of the requested behavior by domain concept (not just the request's wording), and report where you looked. If found, it's an already-implemented `wontfix` (step 5). (b) **prior rejection**: read `.out-of-scope/*.md` and surface any that resembles this request.
2. **Recommend.** Tell the maintainer your category and state recommendation with reasoning, plus a brief codebase summary relevant to the request (including whether it's already implemented). Wait for direction.
3. **Verify the claim.** Before any grilling, check that the claim holds up. For a bug, reproduce it from the reporter's steps. For a PR, confirm the diff does what it claims: check it out, run the relevant tests or commands. Report what happened: confirmed (with code path), failed, or insufficient detail (a strong `needs-info` signal). A confirmed verification makes a much stronger agent brief.
4. **Grill (if needed).** If the request needs fleshing out, call the Skill tool twice, for "grilling" and "domain-modeling", and grill it into shape a round of questions at a time, sharpening domain terms and updating `GLOSSARY.md`/ADRs inline as decisions land.
5. **Apply the outcome:**
- `ready-for-agent`: post an agent brief comment ([AGENT-BRIEF.md](AGENT-BRIEF.md)).
- `ready-for-human`: same structure as an agent brief, but note why it can't be delegated (judgment calls, external access, design decisions, manual testing).
- `needs-info`: post triage notes (template below).
- For `wontfix`, close the issue, with the comment depending on *why*:
- **Already implemented**: the change already exists in the codebase. Point to where it lives; do **not** write to `.out-of-scope/` (that KB is for *rejected* requests, not built ones).
- **Rejected (bug)**: give a polite explanation, then close.
- **Rejected (enhancement)**: write to `.out-of-scope/`, link to it from a comment, then close ([OUT-OF-SCOPE.md](OUT-OF-SCOPE.md)).
- `needs-triage`: apply the role. Optional comment if there's partial progress.
## Quick state override
If the maintainer says "move #42 to ready-for-agent", trust them and apply the role directly. Confirm what you're about to do (role changes, comment, close), then act. Skip grilling. If moving to `ready-for-agent` without a grilling session, ask whether they want to write an agent brief.
## Needs-info template
```markdown
## Triage Notes
**What we've established so far:**
- point 1
- point 2
**What we still need from you (@reporter):**
- question 1
- question 2
```
Capture everything resolved during grilling under "established so far" so the work isn't lost. Questions must be specific and actionable, not "please provide more info".
## Resuming a previous session
If prior triage notes exist on the issue or PR, read them, check whether the reporter has answered any outstanding questions, and present an updated picture before continuing. Don't re-ask resolved questions.
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interface:
display_name: "Triage"
short_description: "Move issues through triage roles"
policy:
allow_implicit_invocation: false
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---
name: wait-what
description: "Stop. That last message did not land: re-pitch it."
disable-model-invocation: true
---
Wait, I don't understand where you've got to here. Re-pitch that: give me a little bit of context, talk in ASD-STE100 Simplified Technical English, and use the ubiquitous language from `GLOSSARY.md` (follow `GLOSSARY-MAP.md` to the right one if the repo has more than one).
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interface:
display_name: "Wait What"
short_description: "Re-pitch that: simpler, with the context I'm missing"
policy:
allow_implicit_invocation: false
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---
name: wayfinder
description: Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.
disable-model-invocation: true
---
A loose idea has arrived, too big for one agent session, and wrapped in fog: the way from here to the **destination** isn't visible yet. Wayfinding is about finding that way, not charging at the destination. This skill charts the way as a **shared map** on the repo's issue tracker, then works its **decision tickets** (questions whose resolution is a decision, not slices of a build to execute) one at a time until the route is clear.
The destination varies per effort, and naming it is the first act of charting: it shapes every ticket. It might be a spec to hand off and iterate on, a decision to lock before planning starts, or a change made in place like a data-structure migration. The map is domain-agnostic: engineering work, course content, whatever fits the shape.
## Plan, don't do
Wayfinder is **planning** by default: each ticket resolves a decision, and the map is done when the way is clear, with nothing left to decide before someone goes and does the thing. The pull to just do the work is usually the signal you've reached the edge of the map and it's time to hand off. An effort can override this in its **Notes**, carrying execution into the map itself, but absent that, produce decisions, not deliverables.
## Refer by name
Every map and ticket is an issue, so it has a **name**: its title. In everything the human reads (narration, the map's Decisions-so-far), refer to it by that name, never by a bare id, number, or slug. A wall of `#42, #43, #44` is illegible; names read at a glance. The id and URL don't vanish; a name wraps its link, but they ride _inside_ the name, never stand in for it.
## The Map
The map is a single issue on this repo's issue tracker, labelled `wayfinder:map`, the canonical artifact. Its tickets are child issues of the map.
The map is an **index**, not a store. It lists the decisions made and points at the tickets that hold their detail; a decision lives in exactly one place, its ticket, so the map never restates it, only gists it and links.
**Where the map, its child tickets, blocking, and frontier queries physically live is tracker-specific.** The issue tracker should have been provided to you. If not, tell the user to run `/setup-matt-pocock-skills`. Consult the tracker doc's "Wayfinding operations" section for how _this_ repo expresses them. If no tracker has been provided, default to the local-markdown tracker.
### The map body
The whole map at low resolution, loaded once per session. Open tickets are **not** listed: they are open child issues, found by query.
```markdown
## Destination
<what reaching the end of this map looks like: the spec, decision, or change this effort is finding its way to. One or two lines; every session orients to it before choosing a ticket.>
## Notes
<domain; skills every session should consult; standing preferences for this effort>
## Decisions so far
<!-- the index: one line per closed ticket, enough to judge relevance, then zoom the link for the detail the ticket holds -->
- [<closed ticket title>](link): <one-line gist of the answer>
## Not yet specified
<!-- see "Fog of war": in-scope fog you can't ticket yet; graduates as the frontier advances -->
## Out of scope
<!-- see "Out of scope": work ruled beyond the destination; closed, never graduates -->
```
### Tickets
Each ticket is a **child issue** of the map; the tracker's issue id is its identity. Its body is the question, sized to one 100K token agent session:
```markdown
## Question
<the decision or investigation this ticket resolves>
```
Each ticket carries a `wayfinder:<type>` label, one of `research`, `prototype`, `grilling`, `task` (see [Ticket Types](#ticket-types)). `wayfinder:` labels are the only labels a map and its tickets carry, never a triage label like `ready-for-agent`: they are decisions, not implementation work.
A session **claims** a ticket by assigning it to the dev driving the map, **first**, before any work, so concurrent sessions skip it. That assignee _is_ the claim: an open, unassigned ticket is unclaimed.
Blocking uses the tracker's **native** dependency relationship: essential because it renders the frontier _visually_ in the tracker's own UI, so the human sees what's takeable without opening the map. Only a tracker that lacks native blocking falls back to a body convention. A ticket is **unblocked** when every ticket blocking it is closed; the **frontier** is the open, unblocked, unclaimed children, the edge of the known.
The answer isn't part of the body; it's recorded on resolution (see [Work through the map](#work-through-the-map)). Assets created while resolving a ticket are linked from the issue, not pasted in.
## Ticket Types
Every ticket is either **HITL** (human in the loop, worked _with_ a human who speaks for themselves) or **AFK**, driven by the agent alone. A HITL ticket only resolves through that live exchange; the agent never stands in for the human's side of it (a grilling agent that answers its own questions has broken this).
- **Research** (AFK): Reading documentation, third-party APIs, or local resources like knowledge bases to surface a fact a decision waits on. Resolved by a subagent that calls the Skill tool with "research". Use when knowledge outside the current working directory is required.
- **Prototype** (HITL): Raise the fidelity of the discussion by making a cheap, rough, concrete artifact to react to (an outline, a rough take, a stub, or UI/logic code) by calling the Skill tool with "prototype". Links the prototype as an asset. Use when "how should it look" or "how should it behave" is the key question.
- **Grilling** (HITL): Conversation. The default case. Always call the Skill tool twice, for "grilling" and "domain-modeling".
- **Task** (HITL or AFK): Manual work that must happen before a _decision_ can be made: nothing to decide, prototype, or research, but the discussion is blocked until it's done. Signing up for a service so its API can be judged, provisioning access, moving data so its shape can be seen. This is the one type that _does_ rather than decides, and it earns its place by unblocking a decision, not by delivering the destination. The agent drives it alone where it can (AFK); otherwise it hands the human a precise checklist (HITL). Resolved when the work is done; the answer records what was done and any resulting facts (credentials location, new URLs, row counts) later tickets depend on.
## Fog of war
The map is _deliberately_ incomplete: don't chart what you can't yet see. Beyond the live tickets lies the **fog of war**: the dim view of decisions and investigations you can tell are coming but can't yet pin down, because they hang on questions still open. Resolving a ticket clears the fog ahead of it, graduating whatever's now specifiable into fresh tickets, one at a time, until the way to the destination is clear and no tickets remain.
The map's **Not yet specified** section is where that dim view is written down: the suspected question, the area to revisit later. It's the undiscovered frontier _toward_ the destination: everything here is in scope, just not sharp enough to ticket. Write as loosely or as fully as the view allows; it doubles as a signpost for collaborators reading where the effort is headed.
**Fog or ticket?** The test is whether you can state the question precisely now, _not_ whether you can answer it now.
- **Ticket when** the question is already sharp, even if it's blocked and you can't act on it yet.
- **Not yet specified when** you can't yet phrase it that sharply. Don't pre-slice the fog into ticket-sized pieces: it's coarser than a ticket, and one patch may graduate into several tickets, or none, once the frontier reaches it.
**Not yet specified** excludes what's already decided (Decisions so far), what's already a live ticket, and what's out of scope (the next section).
## Out of scope
Fog only ever gathers _toward_ the destination. The destination fixes the scope, so work beyond it is **out of scope**: it isn't fog, and it doesn't belong in **Not yet specified**. It gets its own **Out of scope** section on the map: work you've consciously ruled out of _this_ effort. Scope, not sharpness, lands it here.
Out-of-scope work never graduates (the frontier stops at the destination), so it returns only if the destination is redrawn, and then as a fresh effort, not a resumption.
Ruling something out of scope is a scoping act, not a step on the route. When a ticket that already exists turns out to sit past the destination (mis-scoped in while charting, or exposed by a resolution), **close it** (a closed ticket is unambiguously off the frontier) and leave one line in the **Out of scope** section: the gist plus why it's out of scope, linking the closed ticket. It stays out of **Decisions so far**, which records the route actually walked; a scope boundary isn't a step on it.
## Invocation
Two modes. Either way, **never resolve more than one ticket per session**, with the exception of research tickets.
### Chart the map
User invokes with a loose idea.
1. **Name the destination.** Call the Skill tool twice, for "grilling" and "domain-modeling", to pin down what this map is finding its way to: the spec, decision, or change. The destination fixes the scope, so it's settled first.
2. **Map the frontier.** Grill again, **breadth-first** this time: fan out across the whole space rather than deep on any one thread, surfacing the open decisions and the first steps takeable now. **If this surfaces no fog** (the way to the destination is already clear, the whole journey small enough for one session), you don't need a map. Stop and ask the user how they'd like to proceed.
3. **Create the map** (label `wayfinder:map`): Destination and Notes filled in, Decisions-so-far empty, the fog sketched into **Not yet specified**.
4. **Create the tickets you can specify now** as child issues of the map, then wire blocking edges in a **second pass** (issues need ids before they can reference each other). Write cross-references in that pass too, with real ids: a placeholder `#<n>` auto-links to an unrelated issue. Wiring sorts them into the frontier and the blocked; everything you can't yet specify stays in the fog: the **Not yet specified** section.
5. **Fire the research subagents.** For each `research` ticket you just created, spin up a subagent with a fresh context window that calls the Skill tool with "research" to resolve it in parallel, capturing its findings on a throwaway `research/<name>` branch with a context pointer from the ticket. Push the branch but open no PR: it is never merged.
6. Stop: charting is one session's work; it hand-resolves nothing.
### Work through the map
User invokes with a map (URL or number). A ticket is **optional**: without one, you pick the next decision, not the user.
1. Load the **map**: the low-res view, not every ticket body.
2. Choose the ticket. If the user named one, use it. Otherwise take the first frontier ticket in order. **Claim it**: assign it to yourself before any work.
3. Resolve it as the type its `wayfinder:<type>` label names (see [Ticket Types](#ticket-types)). Read the label, not just the body: the body never states the type. **Zoom as needed**: fetch the full body of any related or closed ticket on demand; call the Skill tool for whichever skills the `## Notes` block names. If in doubt, call the Skill tool twice, for "grilling" and "domain-modeling".
4. Record the resolution: post the answer as a **resolution comment**, **close** the issue, and **append a context pointer** to the map's Decisions-so-far.
5. Add newly-surfaced tickets (create-then-wire); graduate any fog the answer has made specifiable, clearing each graduated patch from **Not yet specified** so it lives only as its new ticket. If the answer reveals that a ticket (this one or another) sits beyond the destination, **rule it out of scope** rather than resolving it on the route. If the decision invalidates other parts of the map, update or delete those tickets.
The user may run unblocked tickets in parallel, so expect other sessions to be editing the tracker concurrently.
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interface:
display_name: "Wayfinder"
short_description: "Map a large effort as decision tickets"
policy:
allow_implicit_invocation: false
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---
name: wizard
description: Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.
---
# Wizard
A **wizard** is a bash script that walks a human, step by step, through a manual procedure that's tedious to do by hand and tedious to re-explain to an AI every time. It opens each URL, says exactly what to click and copy, captures the values, writes them where they belong (`.env`, GitHub secrets), confirms at every stage, and shows how many stages are left. It might configure third-party services, run a one-off migration, or move the project from one state to another.
The delightful UX is already solved by [template.sh](template.sh): stage-by-stage progress, confirmation gates, cross-platform URL opening (including WSL), hidden secret entry, idempotent `.env` upserts, `gh secret`/`gh variable` writes, and a closing summary. **Your job is only to scope the procedure and author its stages.** The library above the `STAGES` marker is identical in every wizard; that consistency is the point: never hand-edit it.
A wizard is ephemeral by default: built for one run, saved to a scratch or `scripts/` path, deleted when the job's done. Commit it only when the user wants a repeatable setup path that should live in the repo.
## Process
### 1. Scope the procedure
Work out every manual step the human must take and every value that gets captured along the way. Read the repo first, don't ask cold:
- For setup: `.env`, `.env.example`, `.env.*`, `README`, `docker-compose*`, framework config, and `.github/workflows/*` (every `secrets.*` / `vars.*` reference is a value the wizard must produce).
- For a migration or transition: the current state, the target state, and the irreversible actions between them.
Then show the user the ordered list of stages and the values each produces, and confirm: they may add, drop, or reorder.
**Done when:** every stage is named in order, and for each captured value you know (a) where the human gets it, (b) where it's written (`.env`, a GitHub secret, both, or nowhere; some stages are pure actions), and (c) whether it's secret (hidden entry) or public.
### 2. Map each stage's journey
For each stage, write the precise path a human follows: which URL to open, what to do there, where a value is shown, which variable it fills: e.g. "Dashboard → Developers → API keys → Reveal test key → copy". Where you don't actually know the current UI or the exact command, say so and ask the user or check the docs: never invent steps that may not exist.
**Done when:** every stage traces to concrete instructions a stranger could follow.
### 3. Author the wizard
Copy `template.sh` to the target path. Replace the example stage with one `stage` per step, in dependency order. Use the library helpers: `stage`, `say`/`step`, `open_url`, `ask`/`ask_secret`, `write_env`, `set_secret`/`set_var`, `pause`/`confirm`. Set `TOTAL_STAGES` to the number of stages you wrote.
Hold the bar the template sets: open the URL before asking for its value, use `ask_secret` for anything secret, `write_env` every persisted value, `set_secret` only the values CI actually needs, and `confirm` before any irreversible action. Each `stage` clears the screen so only the current step is visible: keep a stage to one focused task so nothing the human needs scrolls away. Don't touch the library above the marker.
### 4. Verify and hand off
- `bash -n <script>`; run `shellcheck` if available.
- `chmod +x <script>`.
- Don't run it end-to-end yourself: it opens browsers and blocks on human input. Trace it statically instead: every value from step 1 is captured and lands where step 1 said, and every `set_secret` name exactly matches a `secrets.*` reference in CI.
- Tell the user how to run it. If it's a repeatable setup path, commit it and link it from the README so the next person runs the script instead of asking an AI.
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interface:
display_name: "Wizard"
short_description: "Generate an interactive setup wizard"
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#!/usr/bin/env bash
#
# A wizard walks a human through a manual procedure, step by step.
# Generated by the /wizard skill.
#
# Everything above the "STAGES" marker is the wizard library: do not hand-edit
# it. Author the per-step stages below the marker.
set -euo pipefail
# ──────────────────────────────────────────────────────────────────────────
# Wizard library: delightful, consistent UX, identical across every wizard.
# ──────────────────────────────────────────────────────────────────────────
if [[ -t 1 ]] && command -v tput >/dev/null 2>&1 && [[ "$(tput colors 2>/dev/null || echo 0)" -ge 8 ]]; then
BOLD=$(tput bold); DIM=$(tput dim); RESET=$(tput sgr0)
BLUE=$(tput setaf 4); GREEN=$(tput setaf 2); YELLOW=$(tput setaf 3)
else
BOLD=""; DIM=""; RESET=""; BLUE=""; GREEN=""; YELLOW=""
fi
# Author sets this at the top of the stages section.
TOTAL_STAGES=0
_STAGE_INDEX=0
ENV_FILE="${ENV_FILE:-.env}"
WRITTEN_ENV=() # KEYs written to ENV_FILE this run
WRITTEN_SECRET=() # secret NAMEs set this run
SKIPPED=() # things we couldn't do (e.g. gh missing)
# _clear wipes the terminal so only the current step is on screen. No-op when
# output isn't a terminal, so piped logs stay readable.
_clear() {
[[ -t 1 ]] || return 0
if command -v tput >/dev/null 2>&1 && tput clear 2>/dev/null; then return 0; fi
printf '\033[2J\033[3J\033[H'
}
# banner "Title" shows the opening frame: what this wizard does.
banner() {
_clear
printf '\n%s%s %s%s\n' "$BOLD" "$BLUE" "$1" "$RESET"
printf '%s %s stages%s\n\n' "$DIM" "$TOTAL_STAGES" "$RESET"
printf '%s You drive the browser; this wizard tells you exactly what to do and\n' "$DIM"
printf ' captures the values you copy back. Stop any time with Ctrl-C and re-run\n'
printf ' later, since it remembers values already saved.%s\n' "$RESET"
pause "Ready to start?"
}
# stage "Name" clears the screen, then announces a stage and shows progress.
# Clearing keeps only the current step on screen.
stage() {
_clear
_STAGE_INDEX=$((_STAGE_INDEX + 1))
printf '\n%s%s▸ Stage %s/%s · %s%s\n' \
"$BOLD" "$BLUE" "$_STAGE_INDEX" "$TOTAL_STAGES" "$1" "$RESET"
}
# say "..." prints a plain instruction line.
say() { printf ' %s\n' "$1"; }
# step "..." is a numbered-feeling action the human takes in the browser.
step() { printf ' %s•%s %s\n' "$BLUE" "$RESET" "$1"; }
note() { printf ' %s%s%s\n' "$DIM" "$1" "$RESET"; }
warn() { printf ' %s⚠ %s%s\n' "$YELLOW" "$1" "$RESET"; }
# open_url URL opens it in the human's browser, cross-platform incl. WSL.
open_url() {
local url="$1"
printf ' %s↗ opening%s %s\n' "$GREEN" "$RESET" "$url"
{ if command -v wslview >/dev/null 2>&1; then wslview "$url"
elif command -v explorer.exe >/dev/null 2>&1; then explorer.exe "$url"
elif command -v xdg-open >/dev/null 2>&1; then xdg-open "$url"
elif command -v open >/dev/null 2>&1; then open "$url"
else false; fi
} >/dev/null 2>&1 || warn "couldn't open a browser, so visit it manually: $url"
}
# pause "msg" waits for the human to confirm they've done the manual part.
pause() {
printf ' %s%s%s ' "$DIM" "${1:-Press Enter to continue}" "$RESET"
read -r _ || true
}
# confirm "question" is a y/N gate; returns success on yes.
confirm() {
local reply=""
printf ' %s? %s [y/N] ' "$YELLOW" "$1"
read -r reply || true
[[ "$reply" =~ ^[Yy] ]]
}
# _existing KEY: current value of KEY in ENV_FILE, if any, with write_env's single
# quotes or a plain dotenv double-quoted value undone.
_existing() {
[[ -f "$ENV_FILE" ]] || return 1
local line value sq="'\\''"; line=$(grep -E "^${1}=" "$ENV_FILE" | tail -n1) || return 1
value="${line#*=}"
if [[ "$value" == \'*\' ]]; then value="${value:1:${#value}-2}"; value="${value//"$sq"/\'}"
elif [[ "$value" == \"*\" ]]; then
value="${value:1:${#value}-2}"
[[ "$value" == *[\\\$\"]* ]] && return 1 # escapes, $ or ": can't decode safely; ask again
fi
printf '%s' "$value"
}
# ask KEY "Prompt" reads a value into $KEY. Offers the existing .env value as
# a default on re-runs (Enter keeps it). Visible input (non-secret), edited
# with Readline. Fails at EOF with no input.
ask() {
local key="$1" prompt="$2" current input s=$'\001' e=$'\002' p rc=0
current=$(_existing "$key" || true)
# Readline needs the colour codes wrapped in \001..\002 to place the cursor.
p=" $s$BOLD$e$prompt$s$RESET$e "
[[ -n "$current" ]] && p+="$s$DIM$e[Enter keeps current]$s$RESET$e "
read -e -r -p "$p" input || rc=1
if (( rc )) && [[ -z "$input" ]]; then return 1; fi
[[ -z "$input" && -n "$current" ]] && input="$current"
printf -v "$key" '%s' "$input"
}
# ask_secret KEY "Prompt" is like ask, but input is hidden.
ask_secret() {
local key="$1" prompt="$2" current input rc=0
current=$(_existing "$key" || true)
if [[ -n "$current" ]]; then
printf ' %s%s%s %s[Enter keeps current]%s ' "$BOLD" "$prompt" "$RESET" "$DIM" "$RESET"
else
printf ' %s%s%s ' "$BOLD" "$prompt" "$RESET"
fi
read -rs input || rc=1
printf '\n'
if (( rc )) && [[ -z "$input" ]]; then return 1; fi
[[ -z "$input" && -n "$current" ]] && input="$current"
printf -v "$key" '%s' "$input"
}
# write_env KEY VALUE upserts KEY='VALUE' into ENV_FILE (replaces any existing
# line) and sets $KEY. Idempotent. Creates ENV_FILE at mode 0600; writes through
# a symlink and keeps an existing file's mode.
write_env() {
local key="$1" value="$2" tmp sq="'\\''"
[[ -e "$ENV_FILE" ]] || (umask 077 && : > "$ENV_FILE")
tmp=$(mktemp)
grep -vE "^${key}=" "$ENV_FILE" > "$tmp" || true
printf "%s='%s'\n" "$key" "${value//\'/$sq}" >> "$tmp"
cat "$tmp" > "$ENV_FILE"
rm -f "$tmp"
printf -v "$key" '%s' "$value"
WRITTEN_ENV+=("$key")
printf ' %s✓ wrote%s %s → %s\n' "$GREEN" "$RESET" "$key" "$ENV_FILE"
}
# set_secret NAME VALUE sets a GitHub Actions repo secret via gh. Falls back
# to a warning (and records it) if gh is unavailable or unauthenticated.
set_secret() {
local name="$1" value="$2"
if command -v gh >/dev/null 2>&1 && gh auth status >/dev/null 2>&1; then
if printf '%s' "$value" | gh secret set "$name" >/dev/null 2>&1; then
WRITTEN_SECRET+=("$name")
printf ' %s✓ set%s GitHub secret %s\n' "$GREEN" "$RESET" "$name"
return
fi
fi
SKIPPED+=("GitHub secret $name (set it manually: gh secret set $name)")
warn "skipped GitHub secret $name: gh not ready; set it later"
}
# set_var NAME VALUE sets a GitHub Actions repo variable (non-secret).
set_var() {
local name="$1" value="$2"
if command -v gh >/dev/null 2>&1 && gh auth status >/dev/null 2>&1; then
if gh variable set "$name" --body "$value" >/dev/null 2>&1; then
printf ' %s✓ set%s GitHub variable %s\n' "$GREEN" "$RESET" "$name"
return
fi
fi
SKIPPED+=("GitHub variable $name")
warn "skipped GitHub variable $name, gh not ready; set it later"
}
# finish clears, then shows a closing summary of everything configured.
finish() {
_clear
printf '\n%s%s ✓ Setup complete%s\n' "$BOLD" "$GREEN" "$RESET"
(( ${#WRITTEN_ENV[@]} )) && note "wrote ${#WRITTEN_ENV[@]} value(s) to $ENV_FILE: ${WRITTEN_ENV[*]}"
(( ${#WRITTEN_SECRET[@]} )) && note "set ${#WRITTEN_SECRET[@]} GitHub secret(s): ${WRITTEN_SECRET[*]}"
if (( ${#SKIPPED[@]} )); then
printf '\n'; warn "still to do by hand:"
for s in "${SKIPPED[@]}"; do note " - $s"; done
fi
printf '\n'
}
# ──────────────────────────────────────────────────────────────────────────
# STAGES: author this section. One stage() per step the human takes.
# Replace the example below. Set TOTAL_STAGES to match the stages you write.
# Keep every stage inside run_wizard and the last line as is: bash then parses
# the whole file before the first prompt, so an edit mid-run can't break it.
# ──────────────────────────────────────────────────────────────────────────
run_wizard() {
TOTAL_STAGES=1
banner "Stripe setup"
# ── Example stage: replace with your real steps ───────────────────────────
stage "Stripe: API keys"
say "We'll grab your Stripe test keys and store them for local dev + CI."
open_url "https://dashboard.stripe.com/test/apikeys"
step "On the API keys page, copy the Publishable key (starts pk_test_)."
ask STRIPE_PUBLISHABLE_KEY "Paste the publishable key:"
step "Click 'Reveal test key' on the Secret key row, then copy it."
ask_secret STRIPE_SECRET_KEY "Paste the secret key:"
write_env STRIPE_PUBLISHABLE_KEY "$STRIPE_PUBLISHABLE_KEY"
write_env STRIPE_SECRET_KEY "$STRIPE_SECRET_KEY"
set_secret STRIPE_SECRET_KEY "$STRIPE_SECRET_KEY" # CI needs this one
# ──────────────────────────────────────────────────────────────────────────
finish
}
run_wizard "$@"; exit
@@ -0,0 +1,22 @@
# Skill mechanics
The skill-specific branch of [`writing-for-agents`](SKILL.md): what changes when the document is a skill (frontmatter, the invocation choice, and router skills). Everything else about writing it is the universal reference in `SKILL.md`.
## Invocation
Two choices, trading the two loads:
- A **model-invoked** skill keeps a `description`, so the agent can fire it autonomously, and other skills can reach it. You can still type its name: model-invocation always _includes_ user reach; a description only ever adds agent discovery, never removes the human's. The description is the skill's top-level context pointer, forced to stay loaded at all times: permanent context load in exchange for discoverability. A model-invoked skill whose content is all reference is also one home for shared reference: another skill can invoke it, so reference needed by several skills lives in one place. Mechanics: omit `disable-model-invocation`, and write a model-facing description carrying the trigger branches (the pointer-writing rules in `SKILL.md` apply in full).
- A **user-invoked** skill strips the description from the agent's reach: only the human typing its name can invoke it, and no other skill can. Zero context load, but it spends cognitive load: you are the index that must remember it exists. Mechanics: set `disable-model-invocation: true`; the `description` becomes human-facing: a one-line summary, trigger lists stripped.
Pick model-invocation only when the agent must reach the skill on its own, or another skill must. If it only ever fires by hand, make it user-invoked and pay no context load.
Shared reference that two user-invoked skills both need can live in neither: with no descriptions, neither can fire the other. Push it to a plain file outside the skill system: external reference any skill can point at.
## Splitting by invocation
The invocation cut of splitting (the sequence cut lives in `SKILL.md`): split off a model-invoked skill when you have a distinct leading word that should trigger it on its own (a trigger word you actually use in your prompts), or another skill must reach it. You pay context load for the new always-loaded description, so that independent reach has to be worth it.
## Router skills
When user-invoked skills multiply past what you can remember, that piled-up cognitive load is cured by a **router skill**: one user-invoked skill that names the others and when to reach for each, so the human has one skill to remember instead of many. It can only hint, never fire them: user-invoked skills have no description, so nothing but the human can reach them.
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---
name: writing-for-agents
description: Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.
---
Reference for writing any document an agent consumes: a skill, an `AGENTS.md` / `CLAUDE.md`, a doc reached by a pointer. The packaging differs; the writing does not: the same levers make each one predictable, since the agent takes the same _process_ every run rather than producing the same output.
When the document you're writing is a skill, read [`SKILL-MECHANICS.md`](SKILL-MECHANICS.md) for frontmatter, invocation choice, and router skills.
## Context pointers
A **context pointer** is a reference held in the agent's context that names some out-of-context material and encodes the condition for reaching it. A skill's description is one; a line in `AGENTS.md` naming a doc is the same object. The pointer's _wording_, not its target, decides when the agent reaches the material, and how reliably. A must-have target behind a weakly worded pointer is a variance bug: sharpen the wording first, and inline the material only if sharpening fails.
A pointer does two jobs: state what the material is, and list the **branches** that should trigger reaching it (a branch is a distinct case the document handles, so different runs take different paths through it). Every word of an always-loaded pointer costs on every turn, so it earns even harder pruning than the body:
- **Front-load the leading word**: the pointer is where it does its triggering work.
- **One trigger per branch.** Synonyms that rename a single branch are one branch written twice; collapse them and keep only genuinely distinct branches.
- **Cut identity the body already carries.**
## The two loads
Every document and pointer you add spends one of two budgets:
- **Context load** is the cost of always-loaded material on the agent's window: an `AGENTS.md` line, a skill description, anything sitting in context every turn, spending tokens and attention whether or not it fires.
- **Cognitive load** is the cost on the human: which documents exist and when to reach for each. The human is the index. Not a cost to minimise: it is the price of human agency; spend it where human judgement matters, remove it where it does not.
Material reached only through a pointer escapes context load at the price of the pointer's own line; material with no pointer at all rides entirely on cognitive load.
## Information hierarchy
A document is built from two content types: **steps** (the ordered actions the agent performs) and **reference** (definitions, rules, facts consulted on demand). The two mix freely: all steps (a recipe), all reference (a review's rules, this skill), or both. The core decision is where each piece sits on the **information hierarchy**, a ladder ranked by how immediately the agent needs the material:
1. **In-file step** is the primary tier: what the agent does, in order.
2. **In-file reference** is consulted on demand. Often a legitimately flat peer-set (every rule of a review on one rung), which is a fine arrangement, not a smell.
3. **Disclosed reference** is pushed out into a separate file, reached by a context pointer, loaded only when the pointer fires. Spans a sibling file in the same folder through fully external reference that lives anywhere and any document can point at.
Push too little down and the top bloats; push too much and you hide material the agent actually needs. That tension is the whole decision.
**Progressive disclosure** is the move down the ladder (out of the main file and behind a pointer) so the top stays legible. Not primarily a token optimisation: it is how the hierarchy is protected. Branching is the cleanest disclosure test: inline what every branch needs, and push behind a pointer what only some branches reach. When a document has steps, in-file reference that should be disclosed buries them and turns attending to them into a coin-flip: a variance lever, not just a legibility one.
**Co-location** is the within-file companion: where the ladder decides _how far down_ a piece sits, co-location decides _what sits beside it_ once there. Keep a concept's definition, rules, and caveats under one heading rather than scattered, so reading one part brings its neighbours with it. The test: the document should read like documentation written for the agent. Grouped material reads that way; scattered material does not. (Distinct from duplication: that repeats one meaning in two places; scattering fragments one meaning across many.)
**Sprawl** is the failure mode here: a document simply too long, even when every line is live and unique. Attention thins across the excess, and every extra line is one more to keep relevant. The cure is the ladder: disclose reference behind pointers, and split by branch or sequence so each path carries only what it needs.
## Steps and completion criteria
Every step ends on a **completion criterion**, the condition that tells the agent the work is done. Two properties make it a lever:
- **Clarity**: can the agent tell done from not-done? A vague bound ("understanding reached") invites **premature completion**: ending the step before it is genuinely done, attention slipping to _being done_. The visible steps still ahead (the **post-completion steps**) supply the pull; the criterion's clarity is the resistance. Defend in order: **sharpen the bound first** (local and cheap); only if it is irreducibly fuzzy _and_ you observe the rush, hide the later steps by splitting the sequence. Hiding only works across a real context boundary (a hand-off or a subagent dispatch; an inline call leaves the later steps in context and clears nothing).
- **Demand**: how much it requires. "Every modified model accounted for" forces thorough work where "produce a change list" does not. Demand drives **legwork** (the digging the agent does within the work, latent in the wording rather than written as its own step), and it is not step-bound: "every rule applied" binds a body of flat reference just as "every step done" binds a sequence, which is how an all-reference document still carries an exhaustiveness bar.
The strongest criteria are both checkable and exhaustive.
## When to split
Splitting one document into two spends one of the two loads, so split only when the cut earns it:
- **By sequence**: split a run of steps where the post-completion steps tempt the agent to rush the one in front of it. Keeping them out of view drives more legwork on the current task. Beware the reverse: merging sequences exposes each step's later steps to what follows, inviting premature completion.
- **By invocation**, skill-specific: see [`SKILL-MECHANICS.md`](SKILL-MECHANICS.md).
## Leading words
A **leading word** is a compact concept already living in the model's pretraining that the agent thinks with while running the document (_lesson_, _fog of war_, _tracer bullets_). Repeated as a token, never as a sentence, it accumulates a distributed definition and anchors a whole region of behaviour in the fewest tokens, by recruiting priors the model already holds. Coining your own works if you define it clearly, but a made-up word recruits no priors: you pay in definition tokens what a pretrained word gives free; reach for an existing word first.
It anchors twice. In the body, _execution_: the agent reaches for the same behaviour every time the word appears, and inside flat reference it focuses attention on a class of thing to look for. In a pointer, _invocation_: when the same word lives in your prompts, your docs, and your codebase, the agent links that shared language to the material and reaches it more reliably.
Hunt for opportunities to refactor with leading words. A triad spelled out at three sites, a pointer spending a sentence to gesture at one idea. Each is a passage begging to collapse into a single token:
- "fast, deterministic, low-overhead" → _tight_ (a _tight_ loop).
- "a loop you believe in" → _red_, turning a fuzzy gate into a binary observable state (the loop goes _red_ on the bug, or it doesn't).
You win twice: fewer tokens, and a sharper hook for the agent to hang its thinking on. Assume every document is carrying restatements that leading words retire. Go find them.
**Negation** is the failure mode beside this lever: steering by prohibition drags the forbidden behaviour into context and makes it _more_ available, not less. _Don't think of an elephant_, and the elephant is all there is; the negation is a weak modifier the strongly-activated concept overruns, so the ban half-reads as an instruction to do the thing. Prompt the **positive**: state the target behaviour ("write one-line comments") so the banned one is never spoken. A prohibition earns its place only as a hard guardrail you cannot phrase positively; even then, pair it with the positive target so attention lands on what to do.
## Pruning
- Keep each meaning in a **single source of truth**: one authoritative place, so changing the behaviour is a one-place edit. **Duplication** (the same meaning in more than one place) costs maintenance and tokens, and inflates a meaning's prominence on the ladder past its real rank. (The accidental inverse of a leading word, which repeats a token on purpose, never the meaning.)
- The **environment** is a source of truth too (`package.json` scripts, config files, the directory layout, `--help` output), and a document that restates it is a **cache**: a copy of a lookup, earning its load only when the lookup is expensive. Cache what the agent cannot find by looking: the unwritten convention, the reason behind a choice, the gotcha no config confesses. Leave the one-file, one-command lookups to the environment, where they cannot go stale.
- Check every line for **relevance**: does it still bear on what the document does? A line loses relevance by never bearing on the task (mere exposition, or a branch that should be disclosed) or by going stale as the behaviour or world it describes changes. Shorter documents are easier to keep relevant. Without a pruning discipline the default fate is **sediment**: stale layers that settle because adding feels safe and removing feels risky, until you must core down through them to find what is still live.
- Hunt **no-ops** sentence by sentence: an instruction the model already obeys by default pays load to say nothing. The test (does it change behaviour versus the default?) is model-relative, not reader-relative: two people disagreeing about a no-op disagree about the default, and settle it by running the document, not by debate. When a sentence fails, delete the whole sentence rather than trim words from it. The test also grades leading words: a word too weak to beat the default (_be thorough_ when the agent is already thorough-ish) is a no-op, and the fix is a stronger word (_relentless_), not a different technique.
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display_name: "Writing for Agents"
short_description: "Write documents agents consume"
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