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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 1 skill

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

Handy Ollama is the strongest overall pick here because it has a 84/100 readiness score and fits RAG and knowledge.

Strongest overall

Handy Ollama

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

Fastest prototype

Handy Ollama

Best first install candidate based on install readiness and adoption.

Freshest repo

Handy Ollama

Most recent maintenance signal among this shortlist.

SignalHandy Ollama

动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/

Quality
82/100
Strong
Decision verdict
84/100
Production-ready

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

Adoption2.5K stars
0 installs
FreshnessJan 15, 2026
Use-case fit
RAG and knowledgeCoding agentsWorkflow automation
Stack fit
RAG knowledge baseContent growth agent
Platform hintsJupyter Notebook, RAG, Claude Code, LangChain, LlamaIndex
WarningsNo OpenAgentSkill engagement data yet
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The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
RAG and knowledge 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 review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add datawhalechina/handy-ollama