#01
MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
100
Quality
100
Trust
77
Fit
document-processingJun 11, 2026 pushUnknown
$ npx skills add opendatalab/MinerUDocument skills
PDF extraction skills for AI agents.
Compare skills for PDF parsing, OCR, table extraction, markdown conversion, document metadata, and agent-ready file processing.
Built for users searching for AI agent skills that can parse PDFs, extract tables, and convert documents into usable context.
Matched
16
Stars
527K
Input
Output
Markdown
Agent jobs
Start from a real workflow, not a keyword.
These pages are built for high-intent search and for agents that need a structured shortlist before installing third-party code.
01
Convert PDFs into clean markdown for agents
02
Extract tables and metadata from reports
03
Prepare legal, finance, and research documents for review
04
Use OCR fallback when scanned pages need text extraction
Task routes
Task pages agents can call.
Ranked shortlist
High-signal skills to inspect first.
67K stars
#02
Docling
Get your documents ready for gen AI
100
Quality
100
Trust
77
Fit
document-processingJun 14, 2026 pushMIT
$ npx skills add docling-project/docling4.3K stars
Knowledge Agents and Management in the Cloud
100
Quality
100
Trust
67
Fit
document-processingMay 18, 2026 pushMIT
$ npx skills add run-llama/llama_cloud_services#04
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.
100
Quality
100
Trust
72
Fit
document-processingJun 11, 2026 pushApache-2.0
$ npx skills add Unstructured-IO/unstructured#05
Liteparse
A fast, helpful, and open-source document parser
100
Quality
100
Trust
71
Fit
document-processingJun 12, 2026 pushApache-2.0
$ npx skills add run-llama/liteparse#06
Dolphin
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
100
Quality
100
Trust
66
Fit
document-processingMar 25, 2026 pushUnknown
$ npx skills add bytedance/DolphinEvaluation
How to choose the right skill.
Handles layout, headings, and tables without destroying context
Reports extraction limits and OCR uncertainty
Supports batch or repeatable processing
Documents privacy and local processing assumptions
Questions
Which PDF skill should I choose first?
Choose a skill that supports your document type, preserves tables or headings, and makes extraction failures visible instead of silently guessing.
Can these skills handle scanned PDFs?
Some can, but scanned PDFs usually need OCR and human review for high-stakes documents.