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 | All In RAG 🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/ | MarkItDown Convert documents into Markdown for agent-readable context | Awesome Llm Apps 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | RAGFlow Build document intelligence and RAG workflows for agents |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Adoption | 7.8K stars 0 installs | 125K stars 0 installs | 112K stars 0 installs | 81K stars 0 installs |
| Freshness | May 19, 2026 | May 22, 2026 | May 23, 2026 | May 22, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Python, RAG, Claude Code, LangChain | Python, RAG, LLM, Claude Code | Python, RAG, Claude Code | RAG, Python, LLM, Claude Code |
| Warnings | No major warning signals | No major warning signals | No major warning signals | No major warning signals |
| Install | $ npx skills add datawhalechina/all-in-rag | $ npx skills add microsoft/markitdown | $ npx skills add Shubhamsaboo/awesome-llm-apps | $ npx skills add infiniflow/ragflow |