# awesome-ai-apps

> Use this tool when you need to manage and track changes to AI application code, as it utilizes git capabilities to solve version control problems and streamline development workflows, accepting code repositories as input and producing organized, up-to-date project outputs. It is ideal for collaborative AI projects requiring transparent and efficient code management.

Canonical page: https://skillsregistry.net/skills/imsxm15-awesome-ai-apps  
JSON: https://api.skillsregistry.net/v1/skills/imsxm15-awesome-ai-apps

## 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:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/Imsxm15/awesome-ai-apps)
- **Repository:** <https://github.com/Imsxm15/awesome-ai-apps>

## 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": "imsxm15-awesome-ai-apps"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/imsxm15-awesome-ai-apps` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/imsxm15-awesome-ai-apps/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