AugmentClaude

Learn

Extract and save reusable lessons from conversations into your skill library.

Installation

  1. Make sure Claude is on your device and in your terminal.

    Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

    One-time setup
    npm i -g @anthropic-ai/claude-code

    Already have it? Skip ahead.

  2. Paste into Claude Code or into your terminal.

    This copies the whole skill folder into ~/.claude/skills/learn-tigerless-labs/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

    Faster alternative (instruction-only skills)

    Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

    Quick install (SKILL.md only)
    Sign up to copy
  3. Restart Claude Code.

    Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

  4. Just ask Claude.

    Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

Use when users /learn, save, remember, or distill lessons.

What this skill does

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.

  1. Identify class-level, reusable lessons: corrected approaches, non-trivial techniques, durable user preferences. Skip one-off narratives and environment-specific failures.
  2. Compare first: read the injected skill index; if an existing skill covers the topic, prefer a patch/update over creating a near-duplicate.
  3. 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.
  4. 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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