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learn
Turn reusable lessons from a conversation into proposed skill library updates. It checks existing skills for overlap and conflicting rules, then stages each lesson with a reason and an exact supporting quote from the session.
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Use when users /learn, save, remember, or distill lessons.
适用场景
- Preserve a corrected approach for future work
- Record lasting user preferences
- Update existing skills with new lessons
- Reconcile older rules with a replacement
包含的文件（1）
- SKILL.md1.1 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Learn: distill this session into the skill library
Review the conversation so far and distill what is worth keeping — through the standard proposal chain, never by writing files.
- Identify class-level, reusable lessons: corrected approaches, non-trivial techniques, durable user preferences. Skip one-off narratives and environment-specific failures.
- Compare first: read the injected skill index; if an existing skill covers
the topic, prefer a
patch/updateover creating a near-duplicate. - Reconcile old with new: when a lesson supersedes an earlier rule, search the managed skill trees for contradicting statements and stage updates so the new version wins everywhere.
- Stage every change exclusively via the
stage_skilltool, one intent per lesson, withreasonand a verbatimevidencequote from this session. The deterministic promoter validates and lands; rejects are reported at the next session start.
If nothing meets the bar, say so and stage nothing.
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