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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

ExtractPDF4J is the strongest overall pick here because it has a 68/100 readiness score and fits Document processing.

Strongest overall

ExtractPDF4J

Prototype with this skill first; keep a fallback candidate ready.

Fastest prototype

ExtractPDF4J

Best first install candidate based on install readiness and adoption.

Freshest repo

ExtractPDF4J

Most recent maintenance signal among this shortlist.

SignalExtractPDF4J

Java PDF table extraction & OCR library. Extract structured tables from text-based and scanned PDFs using stream, lattice (OpenCV-style grid detection), and hybrid parsing.

Quality
69/100
Promising
Decision verdict
68/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

Adoption472 stars
0 installs
FreshnessMar 15, 2026
Use-case fit
Document processingRAG and knowledgeCoding agents
Stack fit
RAG knowledge baseContent growth agent
Platform hintsJava, OCR, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forDocument processing 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
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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 ExtractPDF4J/ExtractPDF4J