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Open Agent Skill is an open marketplace for AI agent skills. It helps developers discover, publish, and share reusable skills, tools, plugins, and workflows for AI agents like Claude, GPT, and LangChain.

How do I install a skill?

You can install any skill using the command: npx skills add . Each skill page also shows specific installation instructions.

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Skills are ranked by real agent usage data, not just GitHub stars. We track actual API calls from agents, success rates, and response times to surface the most reliable skills.

How do I submit my own skill?

Visit the Submit page and provide your GitHub repository URL. Our AI will review your skill for quality and security, then it will be listed in the marketplace.

Pypdfium2

COMMUNITY

Python bindings to PDFium, reasonably cross-platform.

Downloads 0

Stars 771

Version 1.0.0

Quality 81/100 · Strong

Install with one command

$ npx skills add pypdfium2-team/pypdfium2

Decision summary

Production-ready for Document processing

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

Readiness

Best for

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

Risk notes

No OpenAgentSkill engagement data yet

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

GitHub stars

771

Freshness

5d ago

Install ready

Yes

License

Unknown

Workflow fit

Use this skill in these scenarios

Parse messy files

Document processing

I need my agent to read PDFs, extract tables, and turn documents into structured data.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Stack fit

Add it to a complete workflow

Ingest, retrieve, and cite

RAG knowledge base

A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Operate and verify web apps

Browser QA agent

A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Overview

Python bindings to PDFium, reasonably cross-platform.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL

pdfFULL

Technical Details

Version: 1.0.0
License: Unknown
Last Updated: 5/26/2026
Published: 5/24/2026

Frameworks & Tools

PythonPDF

Install

Free and open source

Compare Alternatives View on GitHub Documentation

Claim this skill

Project owners can request ownership review. Approved claims unlock a stronger trust signal.

Author

pypdfium2-team

@pypdfium2-team

Platform Fit

Claude Code

Health Signals

GitHub stars: 771
Quality score: 54/100
Last GitHub push: May 25, 2026
Framework hints: 2
OpenAgentSkill views: 0
Install copies: 0
Outbound clicks: 0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

—Open source (public GitHub repo)
—AI static analysis passed
—License: Unknown

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