Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Applied Ml is the strongest overall pick here because it has a 89/100 readiness score and fits GitHub automation.
Strongest overall
Applied Ml
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Applied Ml
Best first install candidate based on install readiness and adoption.
Freshest repo
Applied Ml
Most recent maintenance signal among this shortlist.
| Signal | Applied Ml 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production. |
|---|---|
| Quality | 87/100 Excellent |
| Decision verdict | 89/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 30K stars 0 installs |
| Freshness | Jul 18, 2024 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Machine Learning, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add eugeneyan/applied-ml |