# genpark-edge-device-quantization-checker-skill

> genpark-edge-device-quantization-checker-skill — alphaparkinc-genpark-edge-device-quantization-checker-skill. Use this tool when you need to assess the quantization readiness of your machine learning models and estimate the required RAM for edge devices, supporting both INT8 and FP16 quantization types, with integration capabilities via git. It solves problems related to model optimization and deployment on resource-constrained devices. The tool takes in machine learning models as input and outputs quantization readiness reports and RAM estimates.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-edge-device-quantization-checker-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-edge-device-quantization-checker-skill

## Description

Model INT8/FP16 quantization readiness and RAM estimator

## 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-edge-device-quantization-checker-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-edge-device-quantization-checker-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-edge-device-quantization-checker-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-edge-device-quantization-checker-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