# kesha-voice-kit

> Use this tool when you need to enable offline speech-to-text and text-to-speech functionality in Russian on Apple Silicon devices. It solves problems related to language processing and voice interaction without requiring an internet connection. The kit takes in spoken or typed input and outputs synthesized speech or transcribed text, making it ideal for developing voice-enabled applications with local Russian language support.

Canonical page: https://skillsregistry.net/skills/drakulavich-kesha-voice-kit  
JSON: https://api.skillsregistry.net/v1/skills/drakulavich-kesha-voice-kit

## Description

Offline speech-to-text in 25 languages, TTS in 9, speaker diarization.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/drakulavich-kesha-voice-kit)

## 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": "drakulavich-kesha-voice-kit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/drakulavich-kesha-voice-kit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/drakulavich-kesha-voice-kit/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