# Oxide

> Use this tool when you need to efficiently manage and execute tasks across multiple AI models, automating the routing of tasks to optimize distributed processing and parallel execution. It solves problems of model selection, workload balancing, and processing efficiency, enabling seamless integration with local and network services. With Oxide, inputs include task characteristics and outputs are optimized task execution across Gemini, Qwen, Ollama, and LM Studio models.

Canonical page: https://skillsregistry.net/skills/yayoboy-oxide  
JSON: https://api.skillsregistry.net/v1/skills/yayoboy-oxide

## Description

Intelligent LLM orchestrator that automatically routes tasks to the most appropriate AI model (Gemini, Qwen, Ollama, LM Studio) based on task characteristics, enabling distributed processing and parallel execution across local and network services.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bgg06sptk8)
- **Repository:** <https://github.com/yayoboy/oxide>

## 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": "yayoboy-oxide"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yayoboy-oxide` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yayoboy-oxide/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