# docling

> docling — er3mit4-docling. Use this tool when you need to extract and parse content from various file formats, such as web pages, PDFs, documents, and images, to solve data extraction and document processing problems. It takes in files and web pages as input and outputs parsed content, making it ideal for use cases like data mining, document analysis, and content retrieval. The docling CLI utilizes GPU acceleration for efficient processing, suitable for large-scale document processing tasks.

Canonical page: https://skillsregistry.net/skills/er3mit4-docling  
JSON: https://api.skillsregistry.net/v1/skills/er3mit4-docling

## Description

Extract and parse content from web pages, PDFs, documents (docx, pptx), and images using the docling CLI with GPU.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/er3mit4-docling)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "er3mit4-docling"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/er3mit4-docling` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/er3mit4-docling/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt