# Document-Review-AI-Assistant

> Document-Review-AI-Assistant — laurentveyssier-document-review-ai-assistant. Use this tool when you need to streamline document review processes, automate feedback generation, and collaborate on content creation. It solves problems such as manual review errors, inefficient feedback loops, and version control issues by providing an interactive in-browser editor and LLM-powered review tools. The tool accepts document inputs and outputs reviewed and edited content, making it ideal for use cases involving collaborative document management, such as git-based workflows.

Canonical page: https://skillsregistry.net/skills/laurentveyssier-document-review-ai-assistant  
JSON: https://api.skillsregistry.net/v1/skills/laurentveyssier-document-review-ai-assistant

## Description

A minimal document review AI assistant with an interactive in-browser editor and LLM-powered review tools, where the UI is generated by AI tools at runtime via MCP

## 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/LaurentVeyssier/Document-Review-AI-Assistant)

## 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": "laurentveyssier-document-review-ai-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/laurentveyssier-document-review-ai-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/laurentveyssier-document-review-ai-assistant/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