/compound — 经验沉淀
SkillDev toolsTriggered after the Sprint Quality Gate passes. Distills lessons learned in this Sprint into structured entries appended to lessons.md.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the /compound — 经验沉淀 skill
What this skill tells your AI
The instructions your AI receives, as published by m-xlsea/ruoyi-plus-soybean in .claude/skills/compound/SKILL.md and read by ahel’s review.
Gate PASS 后触发 (或用户显式 /compound).
输入
.ai_state/details/reviews/sprint-N.md(审查报告)git diff(本 Sprint 所有变更).ai_state/details/tasks-current.md(完成项).ai_state/details/design.md(设计 vs 实际实现对比)
提炼方法
从以上输入找真实发现, 不写仪式性废话。每 Sprint 0-N 条不强制。
- Pattern: 什么解法有效且可复用? (带代码行号 / 文件路径)
- Pitfall: 什么坑踩过? 未来同类场景要提前避开
- Constraint: 发现的新约束 (依赖版本、环境、性能边界、API 限制)
没发现可提炼的 → 不写, 直接告知用户 "no new lesson". 不允许编造.
输出 (项目级)
追加到 .ai_state/details/lessons.md (append-only, 不修改历史).
格式见 pace/templates/details/lessons.md. Athena 不做跨项目知识管理——需要的话装 claude-mem 或 superpowers。
写入后同步更新 _index.md:
counts.lessons_lines+= 新增条目数 (按##头计)pointers.latest_lesson=details/lessons.md#L<新条目行号>fingerprints.lessons_mtime= 当前时间戳
自检
写入后读回验证:
- 条目有具体的文件/行号/版本引用 (不只是"要注意 X")
- 一句话标题能让下次 R₀ 快速扫描命中
- Pattern/Pitfall/Constraint 三段不强制全有, 但至少有一段
写完告知用户: "Lessons updated. Next sprint R₀ 会自动读取 (按 _index.md.pointers.latest_lesson 跳转)."
Signals
- GitHub stars
- 325
- Forks
- 74
- Last commit
- Jun 2026
Advanced
- Catalog kind
- skill
- Gateway key
compound- Source
- github.com/m-xlsea/ruoyi-plus-soybean