# genpark-edge-worker-ai-operating-system-scheduler-skill

> genpark-edge-worker-ai-operating-system-scheduler-skill — alphaparkinc-genpark-edge-worker-ai-operating-system-scheduler-skill. Use this tool when you need to efficiently manage and schedule AI workloads at the edge, solving problems of resource allocation and task distribution in distributed systems. It takes in AI models and workload requests as inputs and outputs optimized task assignments and resource utilization plans. Ideal for use cases involving real-time data processing, IoT device management, and autonomous systems, where low-latency and high-throughput are crucial.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-edge-worker-ai-operating-system-scheduler-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-edge-worker-ai-operating-system-scheduler-skill

## Description

Distributed edge AI operating system scheduler & worker router (Cloudflare OS 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-edge-worker-ai-operating-system-scheduler-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-edge-worker-ai-operating-system-scheduler-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-edge-worker-ai-operating-system-scheduler-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-edge-worker-ai-operating-system-scheduler-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