Learn: distill this session into the skill library

SkillDev tools

Use when the user says /learn or asks to save this lesson.

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 Learn: distill this session into the skill library skill

What this skill tells your AI

The instructions your AI receives, as published by tigerless-labs/autoharness in skills/learn/SKILL.md and read by ahel’s review.

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/update over 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_skill tool, one intent per lesson, with reason and a verbatim evidence quote 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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