docs/examples/agent_skill/docling-document-intelligence/README.md
This folder is an Agent Skill-style bundle for AI coding assistants: structured instructions (SKILL.md), a pipeline reference (pipelines.md), and a quality evaluator (scripts/docling-evaluate.py).
Conversion is done via the docling CLI (included with pip install docling).
The evaluator provides a convert → evaluate → refine feedback loop that the
existing CLI does not cover.
It complements the official Docling documentation and the docling CLI reference.
The same layout is published in the Docling repo at docs/examples/agent_skill/docling-document-intelligence/ (for docs and PRs).
| Path | Purpose |
|---|---|
SKILL.md | Full skill instructions (pipelines, chunking, evaluation loop) |
pipelines.md | Standard vs VLM pipelines, OCR engines, API notes |
EXAMPLE.md | Installing into ~/.cursor/skills/; running the CLI and evaluator |
improvement-log.md | Optional template for local "what worked" notes |
scripts/docling-evaluate.py | Heuristic quality report on JSON (+ optional Markdown) |
scripts/requirements.txt | Minimal pip deps for the evaluator |
pip install docling docling-core
# Convert to Markdown
docling https://arxiv.org/pdf/2408.09869 --output /tmp/
# Convert to JSON
docling https://arxiv.org/pdf/2408.09869 --to json --output /tmp/
# Evaluate quality
python3 scripts/docling-evaluate.py /tmp/2408.09869.json --markdown /tmp/2408.09869.md
Use --pipeline vlm for vision-model pipelines; see SKILL.md and pipelines.md.
MIT (aligned with Docling).