Reference: https://github.com/landing-ai/ade-document-processing-skills
What it is
Agent skills that teach coding assistants like Claude Code, Cursor, and Roo Code how to write Python scripts using LandingAI’s Agentic Document Extraction (ADE) — a vision-first document AI that parses complex, real-world documents into structured, auditable data without templates or ML training.
Use case
Instead of hand-rolling document parsing logic, you install the skill (via a Claude Code plugin marketplace command or manual copy into .claude/skills/), and your agent gains two capabilities: document-extraction (parse PDFs/images/spreadsheets into structured Markdown/JSON, extract fields via Pydantic/JSON schemas, split and classify multi-doc batches, handle files up to 1GB/6,000 pages async) and document-workflows (batch pipelines, classify-then-extract flows, RAG prep with chunking + ChromaDB/FAISS ingestion, exports to CSV/Snowflake, Streamlit UIs). You literally just prompt the agent — e.g., “extract line items from all invoices in this folder as CSV” — and it writes and runs the script.
Benefit
- No templates, no training — vision-first models handle dense tables, multi-column layouts, and scanned docs directly
- Full traceability — every extracted value carries bounding boxes, page coordinates, and confidence scores back to source
- RAG-ready out of the box — built-in semantic chunking + vector DB ingestion patterns, directly relevant if you’re feeding extracted docs into a retrieval pipeline
- Agent-native install — ships as a proper Claude Code plugin, so setup is a couple of slash commands rather than manual wiring
Happy Learning!!
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