probabl-ai/skore-skills

export-ml-project

Coordinate executed notebooks and an offline MkDocs documentation site.

소스 보기

사용 방법

  1. 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
  2. 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
  3. 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/probabl-ai/skore-skills --skill export-ml-project

시작 전 확인

  • 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
  • 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서

원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.

Export ML Project

Ordering only. Children own convert and site commands.

Human-facing prose

Details: setup-workspace references/human_facing_prose.md. The multi-select uses Executed notebooks and Documentation site. Do not put skill ids, convert flags, or the wrapper CLI in the question.

Sequence

  1. python -m skore_skills status. Read policy.notebooks,

policy.site, and skills.

  1. AskUserQuestion with allow_multiple. Say first, in 2–4

lines, what each box authorizes (toolchain installs, convert re-execution, a built site), the recorded flags (policy.notebooks and policy.site: true, false, or not recorded), and that both answers persist as policy. A file link is an addition, never the context. The question's last line is exactly: Select each one you want. Write nothing after that line.

  • Executed notebooks
  • Documentation site
  1. After the answer, and not in the question, persist each box

this turn: selected → python -m skore_skills policy set notebooks true (or site); a box the user does not select → false. Do not leave them null. Do not write notebooks or site into JOURNAL; policy is the record.

  1. Load each selected child only if status.skills.<id> is true;

else one-line skip. Do not invent that skill's steps:

  • notebooks → export-ml-notebook (installs toolchain if this

is the first yes, then convert; --html only if the user wants the notebook viewer on the site)

  • site → export-ml-site (installs mkdocs-material if first

yes, init if needed, then build; never convert)

  1. Load triage-ml-task only if status.skills.triage-ml-task

is true; else stop.

Stop conditions

  • Do not git end-turn or git commit.
  • Do not invent convert or mkdocs steps when the child skill is

missing.

  • Do not pixi add / uv add from this coordinator.

관련 작업

같은 저장소의 Skills

더 많은 Skills

모든 Skills
probabl-ai
커뮤니티

audit-ml-pipeline

Audit a persisted skore report read-only and produce a reusable digest. Do not execute it. Run materialize.py once. Never call skore.evaluate or project.put. TRIGGER when a completed run needs an audit, the user asks to audit, show, or re-audit an experiment, a re-run overwrote the same put() key, or they want a narrative of a past experiment without journal/ideas/ files. STOP when status.setup.pending is non-empty (load setup-ml-project), or when there is no approved design, no report, or no ag

설치 수
1
GitHub Stars
142
업데이트
10월 20일
probabl-ai
커뮤니티

choose-python-library

Resolve a library choice and add the selected dependency. Trigger for competing-library questions or an optional package not already fixed by the project stack — at first use (tabular exploration, pipeline, or eval extras), never during workspace setup.

설치 수
1
GitHub Stars
142
업데이트
10월 20일
probabl-ai
커뮤니티

persist-ml-git

Commit the current loop stage when the end-turn hook says invoke. Trigger after python -m skoreskills git end-turn --stage returns action invoke, or when the user asks to commit this turn's work.

설치 수
1
GitHub Stars
142
업데이트
10월 20일
probabl-ai
커뮤니티

plot-ml-figure

Pick pandas, seaborn, plotly, or matplotlib before writing figure code. Trigger when explore-ml-data, evaluate-ml-pipeline, or audit-ml-pipeline is about to save or display a chart, or when the user asks for a plot. Not a session owner. Not for skore/sklearn Display plots that already exist on a report. HOW TO USE: first match on the tree (owned plot, interactive iframe HTML, seaborn statistical, pandas chart, else matplotlib). In a notebook: save PNG (or HTML) then leave the figure as the cell

설치 수
1
GitHub Stars
142
업데이트
10월 20일