According to AlphaMoat, as of 2026-09, Docling has 2,917 downloads and 0 stars — ranked #3,792 of 5,078 AI skills overall, and #325 of 442 in Knowledge.

Installs

299

Downloads

2.9K

Stars

Overall Rank

#3,792

Top 75% overall · Top 74% in Knowledge

Platform	Installs	Downloads	Stars	Comments
ClawHub ↗	84	2.9K	-	-
SkillHub ↗	299	2.9K	-	—

Platforms count differently and update at different times.

What this skill does

Its CLI parses web pages, PDFs, office files and images into Markdown, text or structured formats with OCR and optional acceleration. Use controlled output paths and trusted URLs in a restricted environment. Pin the package; remote services and external plugins require review before sending documents or loading code.

Profile published 2026-10-27

What you can do with it

Extract content for analysis

When to use it

When a known document or URL needs parsing

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Plan extraction to a controlled folder with remote services and external plugins disabled.

Monthly Trend

Downloads2.9K

Stars-

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

Month	Downloads	MoM	Stars
2026-09	2.9K	—	-
2026-08	2.7K	+9.2%	-
2026-07	2.5K	+16.1%	-
2026-06	2.1K	+11.0%	-
2026-05	1.9K	—	-
2026-03	1.3K	—	-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

2.5 KB · ClawHub v1.0.2

---
name: docling
description: 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.
version: 1.0.2
metadata:
  requires:
    bins: ["docling"]
---

# Docling - Document & Web Content Extraction

Show all (78 lines)


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.is_available())"
```

## Full CLI Reference

See [references/cli-reference.md](references/cli-reference.md) for complete option list.