# fbratten

> fbratten — fbratten-fbratten. Use this tool when you need to develop infrastructure for AI agents that require memory, coordination, and safe execution. It solves problems related to AI agent management, such as remembering past actions, coordinating tasks, and improving performance over time. With git integration, it accepts code repositories as input and outputs a functional AI agent framework.

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

## Description

Infrastructure for AI agents that remember, coordinate, execute safely, and improve.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

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

## 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": "fbratten-fbratten"
    }
  }
}
```

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