Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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.
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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
CLI tool for parsing documents and web pages into clean, structured text. Uses GPU acceleration for OCR and ML models.
docling CLI must be installed (e.g., via pipx install docling) For GPU support: NVIDIA GPU with CUDA drivers
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
docling "<URL>" --from html --to md Output: creates a .md file in current directory (or use --output)
docling "<URL>" --from html --to text --output /tmp/docling_out
docling "/path/to/file.pdf" --ocr --device cuda --output /tmp/docling_out
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)
โ ๏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
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
Docling supports GPU acceleration via CUDA (NVIDIA). Verify CUDA is available: python -c "import torch; print(torch.cuda.is_available())"
See references/cli-reference.md for complete option list.
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