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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.

er3mit40 installations selon la source☆ 0 Étoiles du dépôtv1.0.2

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install er3mit4/docling

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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

  1. For web content extraction: Use docling "<URL>" --from html --to text --output /tmp/docling_out
  2. Read the output file from the specified output directory
  3. 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.i...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/er3mit4/docling
Version
1.0.2
Commit
1ccee7faefccdc2434b902a6042997c23f870a4c
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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

### Web Page → Plain Text
```bash
docling "<URL>" --from html --to text --output /tmp/docling_out
```

### PDF with OCR
```bash
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

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

## GPU Support

Docling supports GPU acceleration via CUDA (NVIDIA). Verify CUDA is available:
```bash
python -c "import torch; print(torch.cuda.i...

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