# telegram-voice-to-voice-macos

> telegram-voice-to-voice-macos — fiberian1981-telegram-voice-to-voice-macos. Use this tool when you need to transcribe inbound voice notes on Telegram for macOS. It solves the problem of manually listening to voice messages by automatically converting .ogg voice notes to text using Speech.framework. The tool takes .ogg voice notes as input and outputs transcribed text, ideal for users who prefer reading over listening to messages.

Canonical page: https://skillsregistry.net/skills/fiberian1981-telegram-voice-to-voice-macos  
JSON: https://api.skillsregistry.net/v1/skills/fiberian1981-telegram-voice-to-voice-macos

## Description

Telegram voice-to-voice for macOS Apple Silicon: transcribe inbound .ogg voice notes with yap (Speech.framework)

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** communication
- **Updated:** 2026-09-16

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/fiberian1981-telegram-voice-to-voice-macos)

## 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": "fiberian1981-telegram-voice-to-voice-macos"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fiberian1981-telegram-voice-to-voice-macos` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fiberian1981-telegram-voice-to-voice-macos/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