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

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

Strongest overall

Markitdown

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

Fastest prototype

Markitdown

Best first install candidate based on install readiness and adoption.

Freshest repo

MinerU

Most recent maintenance signal among this shortlist.

SignalMegaParse

File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

OCRmyPDF

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

MinerU

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

Markitdown

Python tool for converting files and office documents to Markdown.

Quality
79/100
Strong
100/100
Excellent
100/100
Excellent
100/100
Excellent
Decision verdict
81/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

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.

Adoption7.4K stars
Verified outcomes are shown on each skill page
34K stars
Verified outcomes are shown on each skill page
68K stars
Verified outcomes are shown on each skill page
156K stars
Verified outcomes are shown on each skill page
FreshnessFeb 21, 2025Jun 12, 2026Jun 17, 2026May 26, 2026
Use-case fit
Workflow fit
Platform hintsPython, PDF, Claude CodePython, PDF, Claude CodePython, PDF, Claude CodePython, PDF, Claude Code, OpenAI Agents, LangChain
WarningsRepository looks stale · No 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 require actively maintained dependencies · production agents without a repository 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 QuivrHQ/MegaParse
$ npx skills add ocrmypdf/OCRmyPDF
$ npx skills add opendatalab/MinerU
$ npx skills add microsoft/markitdown