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.
| 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 |
| Adoption | 1.7K stars 0 installs |
| Freshness | May 23, 2024 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Python, LLM, Claude Code |
| Warnings | Repository looks stale |
| Install | $ npx skills add xingyaoww/code-act |