# genpark-multi-head-latent-attention-moe-router-skill

> genpark-multi-head-latent-attention-moe-router-skill — alphaparkinc-genpark-multi-head-latent-attention-moe-router-skill. Use this tool when you need to efficiently route inputs to appropriate experts in a mixture of experts (MoE) model, leveraging multi-head latent attention for improved performance and scalability. It solves problems related to expert selection and input routing in deep learning models, particularly in cases where multiple experts are required to process different input types. This skill takes in input data and model configurations, outputting routed inputs to corresponding experts.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-multi-head-latent-attention-moe-router-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-multi-head-latent-attention-moe-router-skill

## Description

Multi-head latent attention MoE router (DeepSeek V3 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-multi-head-latent-attention-moe-router-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-head-latent-attention-moe-router-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-multi-head-latent-attention-moe-router-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-multi-head-latent-attention-moe-router-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