# desk

> desk — alireza29675-desk. Use this tool when you need to collaborate with your AI agent on documents, presentations, and diagrams, and require a local-first server with live viewing capabilities. It allows you to leave comments on files and have your agent read them back, facilitating seamless communication. Ideal for projects involving git version control, document feedback, and real-time discussion.

Canonical page: https://skillsregistry.net/skills/alireza29675-desk  
JSON: https://api.skillsregistry.net/v1/skills/alireza29675-desk

## Description

Talk with your agent over documents, presentations, diagrams. Leave comments on them and your agent can read them back. A local-first MCP server + live viewer. 🚧 WIP

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Alireza29675/desk)

## 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": "alireza29675-desk"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alireza29675-desk` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alireza29675-desk/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