Code Act

VERIFIED

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.

Downloads 0
Stars 1.7K
Version 1.0.0
Quality 73/100 · Strong

Install with one command

$ npx skills add xingyaoww/code-act

Best for

GitHub automation

Browse skills for pull requests, issues, repository triage, changelog generation, release notes, and developer workflow automation.

Choose it when

  • You want a GitHub-backed skill with 1.7K stars.
  • You need a reusable install command for agents.
  • You want to compare it with related marketplace skills.

Check before install

  • Pushed 2y ago
  • License: MIT
  • Review the repository README and examples.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

73
GitHub stars
1.7K
Freshness
2y ago
Install ready
Yes
License
MIT
Check before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Overview

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.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
llmFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
5/23/2026
Published
5/23/2026

Frameworks & Tools

PythonLLM

Author

X

xingyaoww

@xingyaoww

Platform Fit

Health Signals

GitHub stars
1.7K
Quality score
49/100
Last GitHub push
May 23, 2024
Framework hints
2

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

  • Open source (public GitHub repo)
  • AI static analysis passed
  • License: MIT
  • Manually verified by team