# audio-cog

> Use this tool when you need to generate high-quality audio content, such as music, voiceovers, or sound effects, using artificial intelligence. Audio-cog solves problems like creating customized audio for various applications, including videos, podcasts, and advertisements, with minimal manual effort. It takes input parameters like genre, tone, and style, and outputs unique audio files tailored to specific use cases.

Canonical page: https://skillsregistry.net/skills/nitishgargiitd-audio-cog  
JSON: https://api.skillsregistry.net/v1/skills/nitishgargiitd-audio-cog

## Description

AI audio generation powered by CellCog.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-05-21

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/nitishgargiitd-audio-cog)

## 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": "nitishgargiitd-audio-cog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nitishgargiitd-audio-cog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nitishgargiitd-audio-cog/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