# auto_llm_routing

> Use this tool when you need to automate the routing of large language models, solving problems of inefficient model deployment and management. It takes in model specifications and git repository inputs, outputting optimized routing configurations to streamline model usage. Ideal for use cases involving multiple models, complex workflows, or version-controlled repositories.

Canonical page: https://skillsregistry.net/skills/jeonggyu11-auto-llm-routing  
JSON: https://api.skillsregistry.net/v1/skills/jeonggyu11-auto-llm-routing

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/JeongGyu11/auto_llm_routing)

## 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": "jeonggyu11-auto-llm-routing"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jeonggyu11-auto-llm-routing` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jeonggyu11-auto-llm-routing/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