# abrege

> abrege — ia-generative-abrege. Use this tool when you need to condense lengthy documents into concise summaries, leveraging scalable AI-powered processing to extract key information and insights. It solves the problem of information overload by providing a concise overview of large documents, saving time and effort. Ideal for use cases involving lengthy reports, articles, or git documentation, it accepts large documents as input and outputs a succinct summary.

Canonical page: https://skillsregistry.net/skills/ia-generative-abrege  
JSON: https://api.skillsregistry.net/v1/skills/ia-generative-abrege

## Description

Summarize large documents of any size with scalable, AI-powered processing.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/IA-Generative/abrege)

## 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": "ia-generative-abrege"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ia-generative-abrege` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ia-generative-abrege/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