# genpark-scalar-quantization-sq8-vector-compressor-skill

> genpark-scalar-quantization-sq8-vector-compressor-skill — alpha-park-genpark-scalar-quantization-sq8-vector-compressor-skill. Use this tool when you need to compress high-density embeddings using uniform 8-bit scalar quantization (SQ8) for efficient storage and computation. It solves problems related to reducing memory usage and improving performance in machine learning models by providing a compressed representation of vectors. The tool takes in vectors as input and outputs compressed SQ8 vectors, ideal for use cases involving asymmetric dot product distance calculations.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-scalar-quantization-sq8-vector-compressor-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-scalar-quantization-sq8-vector-compressor-skill

## Description

GenPark AI Agent Skill - Uniform 8-bit scalar quantization (SQ8) for high-density embedding compression and asymmetric dot product distance.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-scalar-quantization-sq8-vector-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": "alpha-park-genpark-scalar-quantization-sq8-vector-compressor-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-scalar-quantization-sq8-vector-compressor-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-scalar-quantization-sq8-vector-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
