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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

ExtractThinker is the strongest overall pick here because it has a 87/100 readiness score and fits Document processing.

Strongest overall

ExtractThinker

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

Fastest prototype

ExtractThinker

Best first install candidate based on install readiness and adoption.

Freshest repo

ExtractThinker

Most recent maintenance signal among this shortlist.

SignalExtractThinker

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

Quality
85/100
Excellent
Decision verdict
87/100
Production-ready

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

Adoption1.6K stars
0 installs
FreshnessAug 27, 2025
Use-case fit
Document processingCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Platform hintsPython, OCR, Claude Code, LangChain
WarningsNo OpenAgentSkill engagement data yet
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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 enoch3712/ExtractThinker