# md-annotate

> Use this tool when you need to collaboratively review and annotate markdown documents, generating revision prompts with AI assistance. It solves problems of inefficient document feedback and revision cycles, enabling seamless human-AI collaboration. The tool takes markdown documents as input and outputs annotated documents with revision prompts, ideal for use cases requiring iterative document refinement and improvement.

Canonical page: https://skillsregistry.net/skills/alaeddineg-md-annotate  
JSON: https://api.skillsregistry.net/v1/skills/alaeddineg-md-annotate

## Description

A local-first markdown review tool with MCP integration, enabling AI and humans to collaboratively annotate documents inline and generate revision prompts.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i7w7rtzj7k)
- **Repository:** <https://github.com/alaeddineG/md-annotate>

## 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": "alaeddineg-md-annotate"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alaeddineg-md-annotate` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alaeddineg-md-annotate/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