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self-learning

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Capture a hard-won "golden path" from the current session as a reusable Agent Skill, so future sessions start already knowing it. Use it (1) right after non-trivial debugging, after working out a multi-step operational workflow, or after rediscovering project facts you didn't know up front — e.g. how to reach the dev/prod database, where credentials and env vars live, how to deploy, run migrations, or verify a change live; and (2) whenever the user says "remember this", "save this as a skill", "make a skill for this", "don't make me re-explain this next time", or otherwise wants a workflow preserved across sessions. Proactively recognize the moment even when unprompted: if a task took several attempts before it worked, used non-obvious tooling, or is likely to recur, harvest it without asking first. Delegates to a subagent when your tool supports one, or works inline, to extract the proven procedure into a new project-local or global skill.

skills/self-learning/SKILL.md

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Last checked
Nov 10, 2026

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971
Repository last updated
Sep 14, 2026
License
MIT

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# Self-learning: harvest golden paths into skills

This skill turns something you just figured out the hard way into a reusable
Agent Skill, so the next session — yours or a teammate's — starts already
knowing the proven route instead of rediscovering it from scratch.

It is a *meta-skill*: it doesn't do the work, it captures **how** work got done.
It's tool-neutral — it works with any agent that reads the Agent Skills format
(e.g. Claude Code and Codex, which both load `SKILL.md` skills natively). Where a
step differs by tool, the generic version comes first and any tool-specific
detail is only an example.

## Recognize the moment
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