
from FDU Insurance Skills47
OCR and classify scanned PDFs with an LLM+vision pipeline, then organize files into category folders with markdown and metadata sidecars.
Extracts text from scanned PDFs (Docling + vision OCR), classifies documents into categories using a language model, and moves files into <scans_dir>/<category>/ with .md and .meta.json sidecars. Provides auditability via a manifest and supports dry-run, reclass, undo, and single-file processing.
Use when you have a directory of scanned PDFs that need automated text extraction, classification (medical, financial, insurance, tax, legal, personal, household, other), and structured output for downstream workflows (search, ingestion, compliance). Good for medical records, invoices, insurance paperwork, and bulk archive processing.
Best used with agents that can call shell tooling and file I/O (Copilot/Codex/CLI-capable agents). The skill assumes an OpenAI-compatible model endpoint for classification (OpenAI, Ollama, OpenRouter).
This skill has not been reviewed by our automated audit pipeline yet.
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