# genpark-universal-llm-proxy-load-balancer-routing-skill

> genpark-universal-llm-proxy-load-balancer-routing-skill — alphaparkinc-genpark-universal-llm-proxy-load-balancer-routing-skill. Use this tool when you need to distribute incoming requests across multiple LLM proxies for efficient load balancing, failover, and rate limiting. It solves problems of overload, downtime, and excessive requests, ensuring reliable and scalable LLM proxy operations. This skill takes in incoming requests and outputs routed requests to available LLM proxies, ideal for use in high-traffic or mission-critical applications.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-universal-llm-proxy-load-balancer-routing-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-universal-llm-proxy-load-balancer-routing-skill

## Description

Universal LLM proxy load balancer with failover & rate limits (LiteLLM style)

## 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-universal-llm-proxy-load-balancer-routing-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-universal-llm-proxy-load-balancer-routing-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-universal-llm-proxy-load-balancer-routing-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-universal-llm-proxy-load-balancer-routing-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