# genpark-quantized-tensor-compute-simd-engine-skill

> genpark-quantized-tensor-compute-simd-engine-skill — alphaparkinc-genpark-quantized-tensor-compute-simd-engine-skill. Use this tool when you need to optimize integer matrix math operations, particularly for quantized tensor computations, to improve performance in applications such as machine learning and scientific simulations. It solves problems related to slow matrix operations and inefficient use of SIMD instructions, providing an interface for inputting quantized tensors and outputting computed results. Ideal for use cases where low-latency and high-throughput matrix computations are critical, such as in deep learning and data processing pipelines.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-quantized-tensor-compute-simd-engine-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-quantized-tensor-compute-simd-engine-skill

## Description

Quantized tensor compute engine optimizing SIMD integer matrix math (llama.cpp 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-quantized-tensor-compute-simd-engine-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-quantized-tensor-compute-simd-engine-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-quantized-tensor-compute-simd-engine-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-quantized-tensor-compute-simd-engine-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