# genpark-multi-head-latent-attention-kv-compressor-skill

> genpark-multi-head-latent-attention-kv-compressor-skill — alphaparkinc-genpark-multi-head-latent-attention-kv-compressor-skill. Use this tool when you need to efficiently compress key-value caches in deep learning models, particularly those utilizing multi-head latent attention mechanisms. It solves the problem of reducing memory usage and improving model performance by compressing MLA KV caches, and accepts input from git repositories. The tool is ideal for use cases where model size and computational efficiency are critical, such as in large-scale natural language processing or computer vision applications.

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

## Description

Multi-head latent attention (MLA) KV cache compressor (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-kv-compressor-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-kv-compressor-skill"
    }
  }
}
```

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