Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
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
Docling
Most recent maintenance signal among this shortlist.
| Signal | Dedoc Dedoc is a library (service) for automate documents parsing and bringing to a uniform format. It automatically extracts content, logical structure, tables, and meta information from textual electronic documents. (Parse document; Document content extraction; Logical structure extraction; PDF parser; Scanned document parser; DOCX parser; HTML parser | MinerU Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows. | Docling Get your documents ready for gen AI | 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. |
|---|---|---|---|---|
| Quality | 80/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 91/100 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. |
| Adoption | 712 stars Verified outcomes are shown on each skill page | 68K stars Verified outcomes are shown on each skill page | 63K stars Verified outcomes are shown on each skill page | 83K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 24, 2026 | Jun 17, 2026 | Jul 17, 2026 | Jun 16, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, OCR, Claude Code | Python, PDF, Claude Code | Python, PDF, Claude Code | Python, OCR, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Document processing workflows · Claude Code teams · teams that value GitHub adoption signals | Document processing workflows · Claude Code teams · teams that value GitHub adoption signals | Document processing workflows · Claude Code teams · teams that value GitHub adoption signals | Document processing workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add ispras/dedoc | $ npx skills add opendatalab/MinerU | $ npx skills add docling-project/docling | $ npx skills add PaddlePaddle/PaddleOCR |