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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

Beir is the strongest overall pick here because it has a 89/100 readiness score and fits RAG and knowledge.

Strongest overall

Beir

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

Fastest prototype

Beir

Best first install candidate based on install readiness and adoption.

Freshest repo

Beir

Most recent maintenance signal among this shortlist.

SignalBeir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Quality
87/100
Excellent
Decision verdict
89/100
Production-ready

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

Adoption2.2K stars
0 installs
FreshnessOct 16, 2025
Use-case fit
RAG and knowledgeCoding agentsBrowser automation
Stack fit
RAG knowledge baseContent growth agent
Platform hintsPython, RAG, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forRAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals
OpenAgentSkill

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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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
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 beir-cellar/beir