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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.

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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.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, references/cli-reference.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.2

Documentation

ClawHub primary doc Primary doc: SKILL.md 11 sections Open source page

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 โ†’ Use docling (not web_fetch) Search for information โ†’ Use web_search (Brave) Parse PDFs, DOCX, PPTX โ†’ Use docling OCR on images โ†’ Use docling

Web Page โ†’ Markdown (default)

docling "<URL>" --from html --to md Output: creates a .md file in current directory (or use --output)

Web Page โ†’ 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

OptionValuesDescription--fromhtml, pdf, docx, pptx, image, md, csv, xlsxInput format--tomd, text, json, yaml, htmlOutput format--deviceauto, cuda, cpuAccelerator (default: auto)--outputpathOutput directory (recommended: use controlled temp dir)--ocrflagEnable OCR for images/scanned PDFs--tablesflagExtract tables (default: on)

Security Notes

โš ๏ธ 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.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs
  • SKILL.md Primary doc
  • references/cli-reference.md Docs