# docingest

> docingest — amal-david-docingest. Use this tool when you need to transform documentation sites into searchable and accessible context for both humans and coding agents. It solves the problem of information silos by converting documentation into a machine-consumable format, enabling efficient querying and retrieval of knowledge. The docingest engine takes in documentation sites as input and outputs a searchable, MCP-accessible context, ideal for use cases involving knowledge graph construction, automated coding, and AI-assisted development.

Canonical page: https://skillsregistry.net/skills/amal-david-docingest  
JSON: https://api.skillsregistry.net/v1/skills/amal-david-docingest

## Description

Open-source engine for turning documentation sites into searchable, MCP-accessible context for humans and coding agents.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/Amal-David/docingest)

## 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": "amal-david-docingest"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amal-david-docingest` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amal-david-docingest/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