# qwenspeak

> Use this tool when you need to generate spoken audio from text inputs, solving problems like accessibility limitations or automated voice applications. It takes text as input and produces spoken audio as output via the Qwen3-TTS engine over a secure SSH connection. Ideal for use cases requiring automated voice generation, such as audiobooks, voice assistants, or public announcements.

Canonical page: https://skillsregistry.net/skills/psyb0t-qwenspeak  
JSON: https://api.skillsregistry.net/v1/skills/psyb0t-qwenspeak

## Description

Text-to-speech generation via Qwen3-TTS over SSH.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/psyb0t-qwenspeak)

## 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": "psyb0t-qwenspeak"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/psyb0t-qwenspeak` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/psyb0t-qwenspeak/pull`

---
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