# whisnap

> whisnap — neolio42-whisnap. Use this tool when you need to transcribe audio and video files quickly and accurately, solving problems such as converting spoken content into text for analysis or accessibility purposes. Whisnap takes in audio and video files as input and outputs transcribed text, leveraging local Whisper models or Whisnap Cloud for processing. Ideal for use cases where automated transcription is required, such as podcast analysis, video subtitling, or audio note-taking.

Canonical page: https://skillsregistry.net/skills/neolio42-whisnap  
JSON: https://api.skillsregistry.net/v1/skills/neolio42-whisnap

## Description

macOS CLI for transcribing audio and video files using local Whisper models or Whisnap Cloud.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/neolio42-whisnap)

## 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": "neolio42-whisnap"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neolio42-whisnap` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neolio42-whisnap/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