Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
Machine Learning Library
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
Machine Learning Library
Best first install candidate based on install readiness and adoption.
Freshest repo
Machine Learning Library
Most recent maintenance signal among this shortlist.
| Signal | Machine Learning Library A hand-curated, topic-organized library of the best ML education — 923 docs (391 arXiv papers, 474 Stanford/MIT/Karpathy/fast.ai lectures, 58 explainer articles), normalized to Markdown with full provenance. Open it in Obsidian or point your agent at it. A clean ML corpus for learning, RAG & fine-tuning. |
|---|---|
| Quality | 71/100 Strong |
| Decision verdict | 70/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 141 stars 0 installs |
| Freshness | May 29, 2026 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Python, Research, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for |
| RAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add ATOM00blue/machine-learning-library |