How do I install the Docling skill?

Run npx skillmds@latest add dvcrn/docling in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Docling safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Docling?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Docling free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Docling?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Docling by dvcrn — Agent Skill

Name: Docling
Rating: 4.2 (5 reviews)
Author: dvcrn

Docling

Extract and parse content from web pages, PDFs, documents (docx, pptx), and images using the docling CLI with GPU acceleration. Use INSTEAD of web_fetch for extracting content from specific URLs when you need clean, structured text. Use Brave (web_search) for searching/discovering pages. Use docling when you HAVE a URL and need its content parsed.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

Docling - Document & Web Content Extraction

CLI tool for parsing documents and web pages into clean, structured text. Uses GPU acceleration for OCR and ML models.

Prerequisites

docling CLI must be installed (e.g., via pipx install docling)
For GPU support: NVIDIA GPU with CUDA drivers

When to Use

Extract content from a URL → Use docling (not web_fetch)
Search for information → Use web_search (Brave)
Parse PDFs, DOCX, PPTX → Use docling
OCR on images → Use docling

Quick Commands

Web Page → Markdown (default)

docling "<URL>" --from html --to md

Output: creates a .md file in current directory (or use --output)

Web Page → Plain Text

docling "<URL>" --from html --to text --output /tmp/docling_out

PDF with OCR

docling "/path/to/file.pdf" --ocr --device cuda --output /tmp/docling_out

Key Options

Option	Values	Description
`--from`	html, pdf, docx, pptx, image, md, csv, xlsx	Input format
`--to`	md, text, json, yaml, html	Output format
`--device`	auto, cuda, cpu	Accelerator (default: auto)
`--output`	path	Output directory (recommended: use controlled temp dir)
`--ocr`	flag	Enable OCR for images/scanned PDFs
`--tables`	flag	Extract tables (default: on)

Security Notes

⚠️ Avoid these flags unless you trust the source:

--enable-remote-services - can send data to remote endpoints
--allow-external-plugins - loads third-party code
Custom --headers with untrusted values - can redirect requests

Workflow

For web content extraction: Use docling "<URL>" --from html --to text --output /tmp/docling_out
Read the output file from the specified output directory
Clean up the output directory after reading

GPU Support

Docling supports GPU acceleration via CUDA (NVIDIA). Verify CUDA is available:

python -c "import torch; print(torch.cuda.is_available())"

Full CLI Reference

See references/cli-reference.md for complete option list.

---name: doclingdescription: Extract and parse content from web pages, PDFs, documents (docx, pptx), and images using the docling CLI with GPU acceleration. Use INSTEAD of web_fetch for extracting content from specific URLs when you need clean, structured text. Use Brave (web_search) for searching/discovering pages. Use docling when you HAVE a URL and need its content parsed.---# Docling - Document & Web Content ExtractionCLI tool for parsing documents and web pages into clean, structured text. Uses GPU acceleration for OCR and ML models.## Prerequisites- `docling` CLI must be installed (e.g., via `pipx install docling`)- For GPU support: NVIDIA GPU with CUDA drivers## When to Use- **Extract content from a URL** → Use docling (not web_fetch)- **Search for information** → Use web_search (Brave)- **Parse PDFs, DOCX, PPTX** → Use docling- **OCR on images** → Use docling## Quick Commands### Web Page → Markdown (default)```bashdocling "<URL>" --from html --to md```Output: creates a `.md` file in current directory (or use `--output`)### Web Page → Plain Text```bashdocling "<URL>" --from html --to text --output /tmp/docling_out```### PDF with OCR```bashdocling "/path/to/file.pdf" --ocr --device cuda --output /tmp/docling_out```## Key Options| Option | Values | Description ||--------|--------|-------------|| `--from` | html, pdf, docx, pptx, image, md, csv, xlsx | Input format || `--to` | md, text, json, yaml, html | Output format || `--device` | auto, cuda, cpu | Accelerator (default: auto) || `--output` | path | Output directory (recommended: use controlled temp dir) || `--ocr` | flag | Enable OCR for images/scanned PDFs || `--tables` | flag | Extract tables (default: on) |## Security Notes⚠️ **Avoid these flags unless you trust the source:**- `--enable-remote-services` - can send data to remote endpoints- `--allow-external-plugins` - loads third-party code- Custom `--headers` with untrusted values - can redirect requests## Workflow1. **For web content extraction**: Use `docling "<URL>" --from html --to text --output /tmp/docling_out`2. **Read the output file** from the specified output directory3. **Clean up** the output directory after reading## GPU SupportDocling supports GPU acceleration via CUDA (NVIDIA). Verify CUDA is available:```bashpython -c "import torch; print(torch.cuda.is_available())"```## Full CLI ReferenceSee [references/cli-reference.md](references/cli-reference.md) for complete option list.

Frequently asked questions