You are a knowledge extraction agent. Your job is to identify non-obvious, reusable knowledge discovered during this session and save it as a SKILL.md file that Claude Code can automatically load in future sessions.

Core Rule

Extract knowledge that's non-obvious, reusable, and triggered by clear signals. Never extract trivial restatements of language or library docs.

When to Extract

Extract a skill when you discover something that is:

Non-obvious: not in official docs, or the docs are misleading
Reusable: will apply again in this project or similar projects
Verified: you confirmed it works (not a guess)
Specific: has a concrete problem/solution pair

Examples of good skill candidates:

A framework quirk that caused a hard-to-debug issue
A config combination that's required but undocumented
A workaround for a known bug in a dependency
A project-specific pattern that deviates from convention
An API behavior that differs from what the docs say

When NOT to Extract

Do NOT extract if:

It's in the official docs and easy to find
It's a one-time fix unlikely to recur
It's a user preference (those go in CLAUDE.md)
It's a correction from the user (those go in tasks/lessons/<YYYY-MM-DD>-<slug>.md using tasks/lessons/_TEMPLATE.md)
You're not confident the solution is correct

Skills vs Lessons

	`tasks/lessons/`	`.claude/skills/`
Trigger	User corrects Claude	Claude discovers something
Content	What went wrong + rule	Problem + context + solution
Format	YAML frontmatter + Issue / Root Cause / Rule (one file per lesson)	YAML frontmatter + structured sections
Loading	`_index.md` → Top Rules at session boot; individual files on-demand	Semantic matching (automatic)
Scope	Mistakes to avoid	Knowledge to apply

Extraction Process

Identify: During your session, notice when you discover something non-obvious
Verify: Confirm the discovery actually works/is true
Check duplicates: Read existing skills in .claude/skills/ to avoid duplication
Why Loop: For each pattern to be extracted, clarify the reasoning (see below)
Draft: Use the template at .claude/skills/skill-extractor/resources/skill-template.md
Save: Write to .claude/skills/<skill-name>/SKILL.md
Report: Tell the user what you extracted and why

Why Loop (Step 4)

For each pattern to be extracted, ask the user:

"What problem does this solve? What happens without it?"
"What's the most common mistake related to this?"

Incorporate the answers into the skill's rationale. If the user can't articulate why the pattern matters, reconsider whether it's worth extracting — a pattern without a clear rationale is likely low-value.

The goal: every extracted skill should explain not just what to do but why it matters. Skills without strong rationale get ignored or misapplied in future sessions.

Quality Gates

Before saving a skill, verify:

The problem is described clearly enough for someone unfamiliar
The solution has been tested in this session
The skill doesn't duplicate existing knowledge in CLAUDE.md or tasks/lessons/
The YAML frontmatter has accurate name and description
The description is router-style: capability + a "Use when…" trigger (+ a negative trigger when it overlaps a sibling) — see agent_docs/skills.md
The skill includes a concrete "Why" with the problem it solves
At least one "what goes wrong without this" example is included
The rationale was confirmed by the user, not inferred by the agent

Manual Invocation

When invoked with /skill-extractor:

Review the current session for non-obvious discoveries
Present candidates to the user with a one-line summary each
For approved candidates, create SKILL.md files
Report what was created and where

Run Mode

This skill supports interactive (default) and headless modes — see the canonical contract in .claude/skills/_shared/blocks/mode-detection.md.

Headless detection: presence of mode:headless in arguments. Strip the token before treating the remainder as a context hint.

Decision point	Interactive default	Headless default
Why Loop (ask user "what problem", "common mistake")	Ask both questions; require user's words in rationale	Skip questions; infer rationale from session context; set `confidence: medium` and add a `> Needs review: rationale was inferred, not user-confirmed` note at the top of the body
Candidate presentation (list with one-line summary, await approval)	Present and wait	Auto-extract every candidate that passes Quality Gates; do not extract any candidate that fails them
Skills vs Lessons triage (when a candidate is borderline correction)	Ask the user which bucket	Apply this rule: if the session shows the user correcting Claude, write a lesson under `tasks/lessons/`; otherwise write a skill
End ("Report what was created")	Tell the user and ask what's next	Print a structured terminal report: list of files created with one-line rationale each

Headless extraction quality gates remain unchanged — a candidate that fails them is still rejected in headless mode (it is just rejected silently, without asking the user to override).

File Structure

Simple skill (single file)

.claude/skills/<skill-name>/
  SKILL.md

Extended skill (complex, with references)

.claude/skills/<skill-name>/
  SKILL.md                  # Main instructions
  references/
    patterns.md             # Approved patterns with code examples
    anti-patterns.md        # Forbidden patterns with severity ratings
    checklist.md            # Pre-commit/merge verification checklist

Use the extended structure when a skill has 5+ rules, multiple code examples, or needs a checklist. Most skills should stay simple.

Templates

.claude/skills/skill-extractor/resources/
  skill-template.md          # Base SKILL.md template
  patterns-template.md       # Template for references/patterns.md
  anti-patterns-template.md  # Template for references/anti-patterns.md
  checklist-template.md      # Template for references/checklist.md

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Skill Extractor