# ProjectDoc

> Use this tool when you need to collaboratively manage project documentation and track progress. ProjectDoc enables AI editors to organize and share information on todos, decisions, pitfalls, and interfaces through MCP protocol tools. It solves problems of disjointed project knowledge and facilitates seamless communication among team members by providing a centralized documentation interface.

Canonical page: https://skillsregistry.net/skills/yarrow-cai-project-doc  
JSON: https://api.skillsregistry.net/v1/skills/yarrow-cai-project-doc

## Description

Enables AI editors to collaboratively manage project documentation, including todos, decisions, pitfalls, and interfaces, through MCP protocol tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e5olzf2ail)
- **Repository:** <https://github.com/Yarrow-Cai/project-doc>

## 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": "yarrow-cai-project-doc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yarrow-cai-project-doc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yarrow-cai-project-doc/pull`

---
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