Pdf Oxide
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0.
Install with one command
$ npx skills add yfedoseev/pdf_oxideDecision summary
Production-ready for RAG and knowledge
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Best for
- RAG and knowledge 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
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
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.
Scrape, clean, and reuse web data
Web data pipeline
A practical stack for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
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.
Overview
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders, 100% pass rate on 3,830 PDFs. MIT/Apache-2.0.
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
Technical Details
- Version
- 1.0.0
- License
- Apache-2.0
- Last Updated
- 5/30/2026
- Published
- 5/24/2026
Frameworks & Tools
Claim this skill
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Author
yfedoseev
@yfedoseev
Platform Fit
Health Signals
- GitHub stars
- 793
- Quality score
- 54/100
- Last GitHub push
- May 29, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
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Trust & Safety
- —Open source (public GitHub repo)
- —AI static analysis passed
- —License: Apache-2.0
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