# agentic-audio-conversations

> agentic-audio-conversations — se02035-agentic-audio-conversations. Use this tool when you need to generate realistic multi-speaker audio conversations from text-based input, such as YAML files, to create immersive audio experiences. It solves problems like automated podcasting, audiobook creation, and voice assistant development by leveraging Google Cloud's high-quality text-to-speech models. The tool accepts YAML input and produces high-fidelity audio output, making it ideal for use cases where engaging audio content is required.

Canonical page: https://skillsregistry.net/skills/se02035-agentic-audio-conversations  
JSON: https://api.skillsregistry.net/v1/skills/se02035-agentic-audio-conversations

## Description

Generate long-form multi-speaker audio from YAML using Google Cloud high quality TTS models (incl. EU ML Processing!). Python library with CLI, FastMCP, and ADK adapters; async jobs so agents don’t block on synthesis.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/se02035/agentic-audio-conversations)

## 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": "se02035-agentic-audio-conversations"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/se02035-agentic-audio-conversations` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/se02035-agentic-audio-conversations/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
