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
Learning Ray is the strongest overall pick here because it has a 42/100 readiness score and fits GitHub automation.
Strongest overall
Learning Ray
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
Learning Ray
Best first install candidate based on install readiness and adoption.
Freshest repo
Learning Ray
Most recent maintenance signal among this shortlist.
| Signal | Learning Ray Notebooks for the O'Reilly book "Learning Ray" |
|---|---|
| Quality | 52/100 Needs review |
| Decision verdict | 42/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 354 stars 0 installs |
| Freshness | Apr 25, 2024 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Jupyter Notebook, Notebook, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects |
| 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 maxpumperla/learning_ray |