사용 방법
- 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
- 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
- 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/nextwork-projects/ai-video-editor-cooked --skill improve시작 전 확인
- 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
- 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.
Improve
Paths: ${CLAUDE_SKILL_DIR} means the folder containing this SKILL.md, and ${CLAUDE_PLUGIN_ROOT} the plugin folder two levels above it.
Every question to the user goes in the question box: call the AskUserQuestion tool (2-4 options, the recommended one first). Only in an agent without that tool, ask numbered questions in text.
This runs in a checkout of the repo, for the person who maintains it. A fix here reaches every user on their next plugin update. S="${CLAUDE_SKILL_DIR}/scripts". Run the scripts with python3 on Mac and Linux, py on Windows.
0. Who is running this
python3 "$S/improve.py" modemaintainer only in a git checkout of the repo with AI_EDITOR_MAINTAINER=1: go on to step 1.
user: the plugin's own files are replaced on every update, so never edit them (no SKILL.md, reference, script or PRINCIPLES.md). Collect and pick as below, then save each accepted item in the user's own layer, which updates never touch (docs/customise.md in the repo): a setting with taste.py add ... --set; a word rule with python3 "${CLAUDE_PLUGIN_ROOT}/lib/ai_editor/custom.py" rule "<rule>"; a caption look as custom/captions/<name>.json plus taste.py set captions.preset <name>; template defaults as custom/templates/<type>.json. Then offer taste.py suggest so the maintainers can fix it for everyone. Stop there.
1. Collect
python3 "$S/improve.py" collect [--edits D] [--no-gh]One line a rule, most repeated first: times it came in, from where (suggestion, taste regression, preview correction, review note, GitHub issue), the owner named, and up to three examples. A rule said by several users, or said again after it was applied, comes first.
2. Pick
Show the top of the queue and ask in the question box which to fix now (multi-select, the most repeated first, recommended). For each one, also ask when it is unclear: Every user (Recommended) / Only some creators' styles (it belongs in a style.json field, not a rule) / Not a fix (close it).
3. Fix each one, in this order
- The rule. One line in
${CLAUDE_PLUGIN_ROOT}/PRINCIPLES.mdunder the right heading, naming
where it is enforced, and the same rule in the owning SKILL.md or reference. General, never about one video: "Zooms ease over at least 0.5 s", not "the zoom at 0:12 snapped".
- The enforcement. The smallest code that makes the rule hold without anyone remembering it:
a FAIL in a check (check.py, quality.py, product.py check, ai_tells.py), a refusal in the script that would break it (gates.py), a default that cannot produce it, or a line in tests/check_plugins.py for a repo rule. Prefer tightening an existing check to adding one.
- The test. An assert in that script's
demo()(ortests/), built from a small synthetic
example of the failure. Run it before the fix and see it fail, then after and see it pass. A rule only an agent can follow (asking, explaining) gets an eval case in evals/ instead: prompt.md plus a tool_used or llm grader.
- The record.
docs/feedback-matrix.md: the rule, where it is written, what enforces it, what
tests it. Then the changelog line:
AI_EDITOR_MAINTAINER=1 python3 "$S/improve.py" log "quality.py: a zoom faster than 0.5 s is a FAIL (quality.py demo)"4. Run everything
python3 tests/check_plugins.py
for p in . plugins/ai-editor plugins/creator-teardown; do claude plugin validate --strict "$p"; doneThen every demo in .github/workflows/check.yml, node tests/test_record.mjs, and when the renderer is set up tests/smoke.py and tests/golden.py. All green before handing over. Do not commit; the maintainer reviews the diff and the CHANGELOG.md entry and commits.
On a GitHub issue that is now fixed, offer to comment the changelog line and close it (gh issue close <n> --comment "..."), only after asking.
Never
- Never edit a user's taste.md, taste.json, rules.json or suggestions.jsonl: they are theirs.
- Never put personal data in the repo: no names, handles, emails, file names or footage from the
feedback. Write the general rule and a synthetic example. tests/check_plugins.py fails on known private names; read every example before it goes in.
- Never close the loop with a note alone. A rule with no enforcement and no test is not done.
Files
scripts/improve.py:mode,collect,log(maintainer mode only),demo. Reads only, except CHANGELOG.md.${CLAUDE_PLUGIN_ROOT}/lib/ai_editor/custom.py: the user's<library>/custom/folder (user mode writes there).${CLAUDE_PLUGIN_ROOT}/skills/taste/scripts/taste.py: wheresuggestandissuewrite the user side.



