# spawn

> spawn — fbratten-spawn. Use this tool when you need to analyze AI agent logs and extract reusable workflow patterns to optimize performance. It solves problems related to workflow efficiency and server deployment by generating ready MCP/FastMCP servers. The tool takes AI agent logs as input and produces optimized workflow patterns and server configurations as output, ideal for use cases involving automated workflow improvement and server deployment.

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

## Description

Analyze AI agent logs, extract reusable workflow patterns, and generate ready MCP/FastMCP servers.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **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/fbratten/spawn)

## 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-spawn"
    }
  }
}
```

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