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 4 skills

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

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

Strongest overall

PaddleOCR

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

Fastest prototype

PaddleOCR

Best first install candidate based on install readiness and adoption.

Freshest repo

TurboOCR

Most recent maintenance signal among this shortlist.

SignalTurboOCR

Fast GPU OCR server. 270 img/s on FUNSD. TensorRT FP16, PP-OCRv5, HTTP + gRPC.

PaddleOCR

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Docling

Get your documents ready for gen AI

Unstructured

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

Quality
87/100
Excellent
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
98/100
Production-ready

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

100/100
Production-ready

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

100/100
Production-ready

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

100/100
Production-ready

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

Adoption959 stars
Verified outcomes are shown on each skill page
83K stars
Verified outcomes are shown on each skill page
63K stars
Verified outcomes are shown on each skill page
15K stars
Verified outcomes are shown on each skill page
FreshnessAug 2, 2026Jun 16, 2026Jul 17, 2026Jun 18, 2026
Use-case fit
Workflow fit
Platform hintsC++, Document AI, Claude CodePython, OCR, Claude CodePython, PDF, Claude CodeHTML, PDF, Claude Code
WarningsNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yetNo OpenAgentSkill engagement data yet
Best forDocument processing workflows · Claude Code teams · teams that value GitHub adoption signalsDocument processing workflows · Claude Code teams · teams that value GitHub adoption signalsDocument processing workflows · Claude Code teams · teams that value GitHub adoption signalsDocument 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 reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security reviewteams that need a vendor-supported SLA · high-compliance environments without internal security review
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Install
$ npx skills add aiptimizer/TurboOCR
$ npx skills add PaddlePaddle/PaddleOCR
$ npx skills add docling-project/docling
$ npx skills add Unstructured-IO/unstructured