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/probabl-ai/skore-skills --skill setup-python-env시작 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.
Set Up Python Environment
Bootstrap only. Direct packages this turn: ruff, ipython, ipykernel, and plain skore. Skore supplies skore-skills as a mandatory dependency. Other stage libraries go through add-python-package.
Human-facing prose
Details: setup-workspace references/human_facing_prose.md. Ask which manager to use and whether we manage the env in plain language. Do not name G-ENV-MGR, skill ids, or the wrapper CLI to the user. Do not mention skore-skills.
Lookup
Run env detect and status first. Take the first row that matches, then run Sequence steps 3–6 only where the row says ask or continue. Do not stop after reading the table.
| Caller | policy.env_manager | policy.env.managed | Manager question | Managed question |
|---|---|---|---|---|
| dispatched | set | true or false | skip | skip |
| dispatched | set | null | skip | ask |
| dispatched | unset | true or false | ask when detect is none, ambiguous, or mismatch | skip |
| dispatched | unset | null | ask when detect is none, ambiguous, or mismatch | ask |
| standalone | any | any | ask when detect is none, ambiguous, or mismatch | ask |
A standalone turn still asks when a manager is only recorded and nothing is on disk yet (env_manager is "none"). After the questions this row allows: env.managed false stops at step 5; true runs step 6 (env init, env sync, env add-skore with no --mode, env verify).
Not this skill
A request to add a package outside ruff, ipython, ipykernel, and plain skore is not bootstrap. Do not env init and do not pixi add. Hand that package to the package-install step and stop. The close names the package and that step in plain language. Do not write the catalog id.
Sequence
python -m skore_skills env detectandstatus.- When
setup-ml-projectdispatched this turn, skip each
question on its own. policy.env_manager set → do not ask which manager. policy.env.managed true or false → do not ask whether we manage the env. A recorded manager with env.managed still null still asks that one question. A recorded env.managed with no policy.env_manager does not reopen the managed question. A standalone request still asks, including when a manager is only recorded and nothing is on disk yet (env_manager is "none").
- G-ENV-MGR. Skip when step 2 skipped it. Otherwise read the
JSON fields, not sentinel strings: ask when env_manager is "none", ambiguous is true, or mismatch is true. Use recommended as the ask order. PATH is not permission. Do not curl | sh.
- Skip when step 2 skipped it. Otherwise ask whether we manage
the env (default yes). Persist python -m skore_skills policy set env.managed true or false.
- Unmanaged: stop. Name ruff / ipython / ipykernel / skore; do
not init. Do not mention skore-skills to the user.
- Managed:
policy set env_manager <manager>when it is not
already recorded, then
python -m skore_skills env init --manager <manager>
python -m skore_skills env sync --execute
python -m skore_skills env add-skore --execute
python -m skore_skills env verify --executeDo not pass --mode. Omitting it installs for a recorded hub or mlflow destination, and plain Skore otherwise.
If the selected manager is pixi and pixi.toml already exists, skip env init; preserve that manifest and continue with env sync --execute. Never replace it or try to add [tool.pixi] to pyproject.toml.
Do not hand-edit TOML. Do not run pixi init. Do not create src/. Do not ask where reports go. Plain Skore is the early install when no destination is recorded; add-python-package upgrades it for Hub or MLflow after that choice is recorded. Do not pass --mode local. If verify reports missing skore or skore_skills, rerun env add-skore --execute the same way; never add skore-skills directly. If verify reports missing agent tools, load add-python-package for ruff / ipython / ipykernel (agent feature) when that skill is installed, not a second env init. If add-python-package is not installed, name ruff / ipython / ipykernel and stop.
Return and close
When dispatched by setup-ml-project, return to that caller after verification. Standalone, run python -m skore_skills git end-turn --stage setup. If JSON action is invoke, load persist-ml-git only if status.skills.persist-ml-git is true and stop; that skill returns to triage. If persist is missing, name the pending staged paths and stop. Otherwise load triage-ml-task only if status.skills.triage-ml-task is true; else stop.
Three environments
Agent context only; do not narrate skore-skills to the user.
- default — project runtime; bootstrap installs plain
skore,
which supplies skore-skills, when the report destination is unset or local. A recorded hub or mlflow destination uses that install instead.
- agent — ruff, ipython, ipykernel.
- dev — default + agent. Every later
python -m skore_skills
command uses this composed environment; env verify --execute must pass before other skills run.
