scikit-learn agent skill by K-Dense-AI
Supports machine learning in Python with scikit-learn. Applies 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.
Source and license
| Publisher | K-Dense-AI |
|---|---|
| Repository | K-Dense-AI/claude-scientific-skills |
| License | BSD-3-Clause |
| Snapshot | 2026-10-22 |
| Last repository commit | 2026-10-12 |
| Instruction size | 1,402 words; 333 lines |
| Bundled files | 11 |
Suede Skill Check: 89/100 · B
Report snapshot · · graded-v2
The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.
Source revision: a1043ef544e3. Report version e44c5e255383. Badge URLs follow the latest listing; save the report to keep this version.
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What to review next
- Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
- Example request: 0 of 3 points. 3 when the description quotes an example request (3–60 characters in quotation marks).
Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.
| Component | Points earned | Available |
|---|---|---|
| Structural checks | 56 | 56 |
| Description length | 5 | 5 |
| Boundary clause | 0 | 4 |
| Example request | 0 | 3 |
| Instruction depth | 7 | 7 |
| Reference files | 3 | 3 |
| Bundled scripts | 2 | 2 |
| Recent maintenance | 9 | 9 |
| Curated-list citations | 3 | 7 |
| Tool permissions declared | 2 | 2 |
| Compatibility declared | 2 | 2 |
The published score is capped at 99. It measures the published files, documentation and maintenance signals. Security scan: not scanned. This assessment does not include a runtime test or a full installation-dependency review.
Install scikit-learn
The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.
npx skills add https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/skills/scikit-learntmp="$(mktemp -d)"
git clone --depth 1 https://github.com/K-Dense-AI/claude-scientific-skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/scikit-learn .claude/skills/
rm -rf "$tmp"tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/K-Dense-AI/claude-scientific-skills.git "$tmp/repo"
mkdir -p .agents/skills
cp -R "$tmp/repo/"skills/scikit-learn .agents/skills/
rm -rf "$tmp"For a user-level install, copy the folder to ~/.claude/skills/ (Claude Code) or ~/.agents/skills/ (Codex). Inside Codex, $skill-installer can also fetch a skill from GitHub. New to skills? Read How to install agent skills in Claude Code, Codex and Cursor.
K-Dense-AI/claude-scientific-skills is third-party code. Read SKILL.md and any bundled scripts before you install it.
Two badges for scikit-learn
Choose the numeric badge, the letter badge, or both. Each links to this skill’s Suede AI listing; either valid linked badge can qualify for the feature offer.
[](https://suedeai.directory/k-dense-ai/claude-scientific-skills/scikit-learn/)
[](https://suedeai.directory/k-dense-ai/claude-scientific-skills/scikit-learn/)<a href="https://suedeai.directory/k-dense-ai/claude-scientific-skills/scikit-learn/"><img src="https://suedeai.directory/k-dense-ai/claude-scientific-skills/scikit-learn/score.svg" alt="Suede Skill Check: 89/100" width="160" height="175"></a>
<a href="https://suedeai.directory/k-dense-ai/claude-scientific-skills/scikit-learn/"><img src="https://suedeai.directory/k-dense-ai/claude-scientific-skills/scikit-learn/badge.svg" alt="Suede Skill Check: Grade B" width="160" height="175"></a>Suede Certified on the shield refers to this published structural quality check. Security scan: not scanned. Read the methodology.
Limited-time feature offer: Display either quality badge in your repository or skill README, linked to your listing, then request verification. Suede AI checks the rendered README at a recorded commit. Eligible skills scoring 80–99 with a verified badge can receive a featured placement while the offer is open. Request badge verification.
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