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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

Wdoc is the strongest overall pick here because it has a 92/100 readiness score and fits Document processing.

Strongest overall

Wdoc

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

Fastest prototype

Wdoc

Best first install candidate based on install readiness and adoption.

Freshest repo

Wdoc

Most recent maintenance signal among this shortlist.

SignalWdoc

Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc

Quality
81/100
Strong
Decision verdict
92/100
Production-ready

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

Adoption518 stars
0 installs
FreshnessJun 14, 2026
Use-case fit
Document processingRAG and knowledgeWorkflow automation
Stack fit
RAG knowledge baseContent growth agent
Platform hintsPython, RAG, Claude Code, LangChain
WarningsNo OpenAgentSkill engagement data yet
Best for
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
Document processing 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 thiswillbeyourgithub/wdoc