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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

Deep Research is the strongest overall pick here because it has a 57/100 readiness score and fits RAG and knowledge.

Strongest overall

Deep Research

Do a manual repository review before adding this to an agent workflow.

Fastest prototype

Deep Research

Best first install candidate based on install readiness and adoption.

Freshest repo

Deep Research

Most recent maintenance signal among this shortlist.

SignalDeep Research

Turn any question into multi-agent exploration. Recursive Claude agents that spawn sub-agents.

Quality
67/100
Promising
Decision verdict
57/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption224 stars
0 installs
FreshnessDec 23, 2025
Use-case fit
RAG and knowledgeCoding agentsResearch agents
Stack fit
RAG knowledge baseContent growth agent
Platform hintsShell, Research Agent, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forRAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projects
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 Cranot/deep-research