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woodshed

제작: gaearon · gaearon/woodshed

Create, run, rate, and iterate your Claude Skills — Dan Abramov's skill-workshop skill, a meta-loop for getting skills actually good.

A meta-skill for authoring other skills. Scaffolds a new skill, runs it on test cases, asks you to rate the output, and uses the feedback to iterate on the skill's prompts. Based on Dan Abramov's 'woodshedding' methodology — deliberate practice applied to skill authoring.

왜 쓰나요

핵심 기능

라이브 데모

실제 사용 모습

woodshed-skill.replay ▶ 준비됨
0/0

설치

작성자 저장소 · Claude Skills 공식 문서

사용 사례

실전 활용법: woodshed

Author a new skill and iterate it to 'actually works'

👤 Skill authors who've noticed their first drafts don't survive real use ⏱ ~120 min advanced

언제 쓸까: You have an idea for a skill but every time you write one, it degrades after 3 uses.

흐름
  1. Scaffold
    Use woodshed. Create a new skill called 'changelog-writer' that turns git logs into user-facing changelogs.✓ 복사됨
    → skills/changelog-writer/ created with SKILL.md
  2. Create test cases
    Generate 5 diverse test inputs.✓ 복사됨
    → tests/ folder with 5 sample git log fixtures
  3. Run and rate
    Run the skill on each. Show me the output; I'll rate.✓ 복사됨
    → Outputs presented with rating slots
  4. Iterate based on ratings
    Based on my ratings, suggest prompt changes to SKILL.md. Don't apply yet.✓ 복사됨
    → Proposed diff with rationale per change

결과: A skill that works on your real use cases, not just the demo.

함정
  • Overfitting to test cases — Hold out some tests; re-run after every iteration to catch regressions
함께 쓰기: filesystem

Improve a skill that's been disappointing you

👤 Anyone with a skill installed they're unhappy with ⏱ ~60 min intermediate

언제 쓸까: You have a skill that half-works and you can't tell why.

흐름
  1. Characterize the failures
    Use woodshed. Here's a skill I installed. Here are 3 sessions where it underperformed. Diagnose.✓ 복사됨
    → Pattern in failures — instruction gap, example gap, framing issue
  2. Propose fixes
    Propose minimal SKILL.md edits to address those patterns.✓ 복사됨
    → Specific diffs

결과: A skill you can trust.

조합

다른 MCP와 조합해 10배 효율

woodshed-skill + skill-fetch-skill

Find skills with skill-fetch, improve them with woodshed

Find a changelog-writer skill; install; run woodshed on it to tune for my repo.✓ 복사됨
woodshed-skill + filesystem

Persist iteration history across sessions

Keep woodshed logs in skills/<name>/.woodshed/ for traceability.✓ 복사됨

도구

이 MCP가 노출하는 것

도구입력언제 호출비용
scaffold_skill skill name, goal New skill 0
run_tests skill + test set Evaluating 0
capture_rating rating + notes After each test 0
iterate_prompt skill + ratings After a rating round 0

비용 및 제한

운영 비용

API 쿼터
None
호출당 토큰
High during iteration (many test runs)
금액
Free (Claude API usage applies)
팁
Keep test sets small — 5 tests beats 50 that never get reviewed.

보안

권한, 시크릿, 파급범위

자격 증명 저장: None
데이터 외부 송신: None from skill

문제 해결

자주 발생하는 오류와 해결

Iteration keeps changing but doesn't improve

Your test set is too narrow; add diverse cases

Skill works in woodshed but not in real use

Production prompts differ from test fixtures; add real-session logs to the test set

대안

woodshed 다른 것과 비교

대안언제 쓰나단점/장점
Hand-tuning SKILL.md without loopSimple skills with obvious promptsSlower convergence; easier to miss regressions
claude-skills-vault-skillYou want ready-made skills, not authoring toolsDifferent goal

더 보기

리소스

📖 GitHub에서 공식 README 읽기

🐙 열린 이슈 보기

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