# genpark-neural-audio-stem-separation-remaster-skill

> genpark-neural-audio-stem-separation-remaster-skill — alphaparkinc-genpark-neural-audio-stem-separation-remaster-skill. Use this tool when you need to separate and remaster audio stems using neural networks, solving problems like isolating vocals or instruments from mixed tracks. It takes in mixed audio files as input and outputs separated stems, such as vocals, drums, or bass. Ideal for music producers, audio engineers, and remixers looking to enhance or repurpose existing audio content.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-neural-audio-stem-separation-remaster-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-neural-audio-stem-separation-remaster-skill

## Description

Neural audio stem separation and remastering engine (Demucs / Moises 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-neural-audio-stem-separation-remaster-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-neural-audio-stem-separation-remaster-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-neural-audio-stem-separation-remaster-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-neural-audio-stem-separation-remaster-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