OpenAgentSkill Registry Manifest Skill: data-science-python-stack Slug: probabl-ai-data-science-python-stack Category: data-analysis Description: Opinionated Python stack for data-science / ML work — one library per job, organized into tiers (mandatory / user choice / optional / transitive). SKILL.md is the index; per-library `references/.md` files carry scope, "pick this when" / "pick something else when", and pairings. TRIGGER when (any of these): (1) **a library import fails** in this stack's domain — the answer is install, not substitute (see § "Missing dependency"); (2) **a library choice has to be made** — explicitly (the user asks "which library for X?") or implicitly (code is about to introduce a new dependency, or the project is being scaffolded and the tabular library hasn't been picked yet); (3) starting a new Python data-science / ML project; (4) the user or current code reaches for a substitute outside the stack (xgboost, lightgbm, black, isort, flake8, poetry, hatch), or reaches for `mlflow` to log params/metrics, or for `cross_val_score` + handwritten reporting — redirect: tracking → `skore` Project API, Agent fit: - Decision: 67/100 Prototype first - Primary fit: Workflow automation - Role: Fallback candidate Supply profile: - Track: Data, BI, and analytics - Scenario: Data analysis - Applicable agents: Claude Code, CLI, Codex, Cursor - Maintenance: 21d since push - Risk: Needs review Trust: - Trust score: 74/100 Strong shortlist - Audit: 79/100 Needs review Attribution: - Status: Registry indexed - Source: github candidate review - Creator: probabl-ai - Claim URL: https://www.openagentskill.com/skills/probabl-ai-data-science-python-stack#claim-this-skill Install: npx skills add probabl-ai/skills --skill data-science-python-stack URLs: - Web: https://www.openagentskill.com/skills/probabl-ai-data-science-python-stack - API: https://www.openagentskill.com/api/agent/skills/probabl-ai-data-science-python-stack - Install API: https://www.openagentskill.com/api/skills/probabl-ai-data-science-python-stack/install - Repository: https://github.com/probabl-ai/skills/tree/main/skills/data-science-python-stack