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

CrewAI

Most recent maintenance signal among this shortlist.

SignalSkylos

Open source local-first PR scanner that finds dead code, security bugs, secrets, quality regressions, and AI-code mistakes before merge. For first timers refer to https://duriantaco.github.io/skylos/repo-map/

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
84/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
83/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

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.

Adoption454 stars
0 installs
83K stars
0 installs
55K stars
0 installs
33K stars
0 installs
FreshnessJun 21, 2026Jun 13, 2026Jul 2, 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 OpenAgentSkill engagement data yetNo major risk signals from current metadata
Best forCoding agents workflows · Claude Code teams · builders willing to evaluate younger projectsRAG 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
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Install
$ npx skills add duriantaco/skylos
$ npx skills add infiniflow/ragflow
$ npx skills add crewAIInc/crewAI
$ npx skills add ashishpatel26/500-AI-Agents-Projects