# genpark-multi-llm-router-cost-latency-optimizer-skill

> genpark-multi-llm-router-cost-latency-optimizer-skill — alphaparkinc-genpark-multi-llm-router-cost-latency-optimizer-skill. Use this tool when you need to optimize the routing of large language models (LLMs) for reduced latency and token costs. It solves problems related to complexity, latency, and cost optimization in LLM deployments, providing a dynamic routing solution. The tool takes LLM requests as input and outputs optimized routing decisions, making it ideal for use cases where efficient and cost-effective LLM deployment is crucial.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-multi-llm-router-cost-latency-optimizer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-multi-llm-router-cost-latency-optimizer-skill

## Description

Dynamic LLM router for complexity, latency & token cost optimization

## Trust

- **Trust score (0–1):** 1.00
- **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/alphaparkinc/genpark-multi-llm-router-cost-latency-optimizer-skill)

## 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": "alphaparkinc-genpark-multi-llm-router-cost-latency-optimizer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-multi-llm-router-cost-latency-optimizer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-multi-llm-router-cost-latency-optimizer-skill/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
