scikit-learn (Claude Skill)
Machine learning in Python with scikit-learn.
| Type | Claude Skill |
| Supplier | K-Dense Inc. (community OSS) |
| Availability | GA — part of the actively maintained K-Dense scientific-agent-skills collection |
| Pricing | Free / OSS (BSD-3-Clause) |
| Capabilities | Read/Write — Claude runs the skill’s Python locally (Bash), not as an MCP tool |
How to install
- Also packaged in the SciAgent-Skills collection (jaechang-hits (community OSS, CC BY 4.0)): clone
jaechang-hits/SciAgent-Skillsand run/plugin install sciagent-skillsin Claude Code (or copyskills/scientific-computing/scikit-learn-machine-learninginto~/.claude/skills/). - Claude Code / Claude.ai — Skills CLI (recommended):
npx skills add K-Dense-AI/scientific-agent-skillsInstalls the K-Dense collection; enable the
scikit-learnskill when prompted. Works across Claude Code, Cursor, and Codex via the Agent Skills spec (requires Node ≥ 18). - Claude Code / Claude Desktop — manual clone:
git clone https://github.com/K-Dense-AI/scientific-agent-skills cp -r scientific-agent-skills/skills/scikit-learn ~/.claude/skills/Project-scoped alternative: copy into
.claude/skills/instead of~/.claude/skills/. The skill declares its own Python dependencies in itsSKILL.md; install them (the K-Dense skills generally useuv/pip) when prompted on first use.
What it does
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
Primary use cases: working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines.
Notes
Distributed as a SKILL.md (plus code examples) in the K-Dense collection — Claude executes it locally via Bash/Python rather than as an MCP server. Upstream license: BSD-3-Clause. The skill name to enable after install is scikit-learn.
Sources
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