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 4 skills
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. | AutoGPT Build and run autonomous AI agents for open-ended tasks | LangChain Agent engineering primitives for tools, memory, and RAG | Hermes Agent The agent that grows with you |
|---|---|---|---|---|
| Quality | 73/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Adoption | 1.7K stars 0 installs | 184K stars 0 installs | 137K stars 0 installs | 164K stars 0 installs |
| Freshness | May 23, 2024 | May 23, 2026 | May 23, 2026 | May 23, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, LLM, Claude Code | AutoGPT, Python, LLM, Claude Code, OpenAI Agents | LangChain, Python, JavaScript, Claude Code | Python, AI Agents, Claude Code, OpenAI Agents |
| Warnings | Repository looks stale | No major warning signals | No major warning signals | No major warning signals |
| Install | $ npx skills add xingyaoww/code-act | $ npx skills add Significant-Gravitas/AutoGPT | $ npx skills add langchain-ai/langchain | $ npx skills add NousResearch/hermes-agent |