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.

Add more skills

Decision summary

Ragflow is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.

Strongest overall

Ragflow

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Ragflow

Best first install candidate based on install readiness and adoption.

Freshest repo

Ragflow

Most recent maintenance signal among this shortlist.

SignalAIWriteX

AIWriteX - 微信公众号全自动AI工具:全网热搜舆情聚合+趋势分析+爆款选题+文章采集+一键生成排版发布 | AI自动配图 | 去AI味、过朱雀检测 | 支持小红书/百家号等多平台 | 洗稿润色支持多账号 | 专家赛道 | 手机控制 | 小说连载 | 爆文10w+神器

Ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

CrewAI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

500 AI Agents Projects

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.

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.

Adoption1.2K stars
0 installs
83K stars
0 installs
53K stars
0 installs
32K stars
0 installs
FreshnessJun 10, 2026Jun 13, 2026Jun 13, 2026Jun 6, 2026
Use-case fit
Stack fit
Platform hintsPython, AI Agents, Claude CodePython, AI Agents, Claude CodePython, AI Agents, Claude CodePython, AI Agents, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo major risk signals from current metadataNo major risk signals from current metadata
Best forSports analytics workflows · Claude Code teams · teams that value GitHub adoption signalsRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signalsCoding agents workflows · Claude Code teams · teams that value GitHub adoption signals
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
0 views
0 install copies
1 views
0 install copies
2 views
0 install copies
Install
$ npx skills add iniwap/AIWriteX
$ npx skills add infiniflow/ragflow
$ npx skills add crewAIInc/crewAI
$ npx skills add ashishpatel26/500-AI-Agents-Projects