# AI-Projects

> AI-Projects — akash-yy-ai-projects. Use this tool when you need to manage and version control artificial intelligence projects using git, solving collaboration and tracking issues for AI development teams. It provides an interface for inputs like code and data, and outputs like tracked changes and project histories. Ideal for AI projects requiring iterative development and teamwork.

Canonical page: https://skillsregistry.net/skills/akash-yy-ai-projects  
JSON: https://api.skillsregistry.net/v1/skills/akash-yy-ai-projects

## Description

AI Projects

## Trust

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

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Akash-yy/AI-Projects)

## 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": "akash-yy-ai-projects"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akash-yy-ai-projects` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akash-yy-ai-projects/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