# Sonique

> Sonique — git-sharwaree-sonique. Use this tool when you need to extract insights from audio content, such as podcasts, interviews, or lectures, and require automated transcription, summarization, and analysis. Sonique takes audio files as input and produces text transcripts, summaries, and analytical data as output. It is ideal for use cases where manual audio analysis is time-consuming or impractical, such as research, content creation, or data mining.

Canonical page: https://skillsregistry.net/skills/git-sharwaree-sonique  
JSON: https://api.skillsregistry.net/v1/skills/git-sharwaree-sonique

## Description

A lightweight toolkit to transcribe, summarize, and analyze audio content using intelligent processing

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/git-sharwaree/Sonique)

## 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": "git-sharwaree-sonique"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/git-sharwaree-sonique` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/git-sharwaree-sonique/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