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
Code Act is the strongest overall pick here because it has a 75/100 readiness score and fits GitHub automation.
Strongest overall
Code Act
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
Code Act
Best first install candidate based on install readiness and adoption.
Freshest repo
Code Act
Most recent maintenance signal among this shortlist.
| Signal | Code Act Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji. |
|---|---|
| Quality | 73/100 Strong |
| Decision verdict | 75/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 1.7K stars 0 installs |
| Freshness | May 23, 2024 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, LLM, 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 xingyaoww/code-act |