# genpark-otari-llm-throttler-skill

> genpark-otari-llm-throttler-skill — alphaparkinc-genpark-otari-llm-throttler-skill. Use this tool when you need to regulate and manage the execution of large language models (LLMs) to prevent overload and optimize resource utilization. It solves problems related to throttling and gatekeeping LLM executions, ensuring efficient use of resources. The tool accepts input parameters for LLM execution requests and outputs controlled access to LLM resources, ideal for use in high-traffic or resource-constrained environments.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-otari-llm-throttler-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-otari-llm-throttler-skill

## Description

Otari LLM execution gatekeeper

## 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-otari-llm-throttler-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-otari-llm-throttler-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-otari-llm-throttler-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-otari-llm-throttler-skill/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