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.
Decision summary
Autogen is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Autogen
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Autogen
Best first install candidate based on install readiness and adoption.
Freshest repo
Chinese Llm Benchmark
Most recent maintenance signal among this shortlist.
| Signal | PocketFlow Pocket Flow: 100-line LLM framework. Let Agents build Agents! | Chinese Llm Benchmark 非线智能 NoneLinear - ReLE评测：中文AI大模型能力评测（持续更新）：目前已囊括374个大模型，覆盖chatgpt、gpt-5.4、谷歌gemini-3.1-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3.6-max、qwen3.6-plus、百川、讯飞星火、商汤senseChat等商用模型， 以及step3.5-flash、kimi-k2.6、ernie4.5、MiniMax-M2.7、deepseek-v4、Qwen3.6、llama4、智谱GLM-5.1、MiMo-V2、LongCat、gemma4、mistral等开源大模型。不仅提供排行榜，也提供规模超200万的大模型缺陷库！方便广大社区研究分析、改进大模型。 | Autogen A programming framework for agentic AI | ChatTTS A generative speech model for daily dialogue. |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 11K stars 0 installs | 6.2K stars 0 installs | 59K stars 0 installs | 39K stars 0 installs |
| Freshness | Mar 27, 2026 | Jun 7, 2026 | Apr 15, 2026 | Apr 10, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, LLM, Claude Code | LLM, Claude Code, OpenAI Agents | Python, LLM, Claude Code, OpenAI Agents | Python, LLM, Claude Code, OpenAI Agents |
| Warnings | No major risk signals from current metadata | No major risk signals from current metadata | No major risk signals from current metadata | No major risk signals from current metadata |
| Best for | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 1 views 0 install copies | 1 views 0 install copies | 2 views 0 install copies | 3 views 0 install copies |
| Install | $ npx skills add The-Pocket/PocketFlow | $ npx skills add jeinlee1991/chinese-llm-benchmark | $ npx skills add microsoft/autogen | $ npx skills add 2noise/ChatTTS |