choose-python-library
Skill144 starsChanged 17 days agoBSD-3-ClauseView on GitHub
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.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- probabl-ai/skillsword for word, first seen Oct 27, 2026
Other versions1 project uses a version of this.
Word for word · 1
- probabl-ai/skills★ 144100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository26 other files it gives its agents.
- AGENTS.mdAGENTS.md
- add-python-packageSkill
- audit-ml-pipelineSkill
- build-ml-pipelineSkill
- evaluate-ml-pipelineSkill
- explore-ml-dataSkill
- export-ml-notebookSkill
- export-ml-projectSkill
- export-ml-siteSkill
- frame-ml-problemSkill
- manage-ml-backlogSkill
- model-ml-pipelineSkill
- persist-ml-gitSkill
- plot-ml-figureSkill
- research-ml-practiceSkill
- review-ml-choicesSkill
- review-ml-experimentSkill
- search-ml-literatureSkill
- setup-gitSkill
- setup-ml-projectSkill
- setup-python-envSkill
- setup-workspaceSkill
- shape-user-ideaSkill
- smoke-test-ml-pipelineSkill
- sync-ml-reportsSkill
- triage-ml-taskSkill
The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 5 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
Do not name skill ids or the wrapper CLI in the question.
- Very specific: line 22
Run python -m skore_skills env stack.
- Very specific: line 29
After the user chooses, load add-python-package when status.skills reports it installed.
- Distinctive: line 43
Do not install every candidate.
- Distinctive: line 44
Do not use popularity alone as a technical decision.
- Distinctive: line 45
Do not run pip directly in a managed project.
- Distinctive: line 46
Do not substitute black/isort for Ruff or sklearn Pipeline for skrub DataOps.
- Very specific: line 48
Do not present matplotlib vs seaborn vs plotly.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Choose Python Library
Human-facing prose
Details: setup-workspace references/human_facing_prose.md.
Present library options as a data-science choice for this job.
Do not name skill ids or the wrapper CLI in the question.
- State the job and constraints.
- Run
python -m skore_skills env stack. A job listed undercompetingis a genuine choice; anything the policy already fixes (mandatory,stage,export) is settled — use it rather than reopening the choice. Do not read the packaged JSON file directly; it lives inside the installed package. - For a genuine choice, present the smallest useful option set and ask the user. Do not pick silently.
- After the user chooses, load
add-python-packagewhenstatus.skillsreports it installed. If it is not installed, name the package and stop. Do not callenv addfrom this skill. Typical callers:explore-ml-data(pandas vs polars), later extras (tuning). Notsetup-workspace. Plotting jobs: loadplot-ml-figureif installed; do not present matplotlib vs seaborn vs plotly. - Confirm symbols with
python -m skore_skills api get <dotted>...before writing calls. Several symbols go in one call. Scope for one package ispython -m skore_skills env route <pkg>, not a guess.
Stop conditions
- Do not install every candidate.
- Do not use popularity alone as a technical decision.
- Do not run pip directly in a managed project.
- Do not substitute black/isort for Ruff or sklearn Pipeline for skrub DataOps; those choices are already fixed.
- Do not present matplotlib vs seaborn vs plotly; that job is
plot-ml-figure.
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