backend-integrator
Complete guide for integrating a new LLM backend into MassGen. Use when adding a new provider…
Guide to audio generation and understanding in MassGen. Covers text-to-speech, music, sound effects, and audio understanding across ElevenLabs and OpenAI backends.
$ npx -y skills add massgen/massgen --skill audio-generation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/audio-generationContext preview
The summary Claude sees to decide when to auto-load this skill.
Guide to audio generation and understanding in MassGen. Covers text-to-speech, music, sound effects, and audio understanding across ElevenLabs and OpenAI backends.
name: audio-generation description: Guide to audio generation and understanding in MassGen. Covers text-to-speech, music, sound effects, and audio understanding across ElevenLabs and OpenAI backends.
Generate audio using `generate_media` with `mode="audio"`. Supports speech (TTS), music, and sound effects. ElevenLabs is preferred when available, with OpenAI as fallback.
# Text-to-speech (auto-selects ElevenLabs if key available)
generate_media(prompt="Hello, welcome to our presentation!", mode="audio")
# With specific voice
generate_media(prompt="Hello!", mode="audio", voice="Rachel")
# Music generation (ElevenLabs only)
generate_media(prompt="Upbeat jazz piano with soft drums", mode="audio",
audio_type="music", duration=30)
# Sound effects (ElevenLabs only)
generate_media(prompt="Thunder rolling across a mountain valley", mode="audio",
audio_type="sound_effect", duration=5)| Type | Backends | Description | |------|----------|-------------| | `"speech"` (default) | ElevenLabs, OpenAI | Text-to-speech with voice selection | | `"music"` | ElevenLabs only | Music generation from text prompt | | `"sound_effect"` | ElevenLabs only | Sound effect generation | | `"voice_conversion"` | ElevenLabs only | Change voice of existing audio (speech-to-speech) | | `"audio_isolation"` | ElevenLabs only | Remove background noise, isolate vocals | | `"voice_design"` | ElevenLabs only | Create a new synthetic voice from text description | | `"voice_clone"` | ElevenLabs only | Clone a voice from audio samples | | `"dubbing"` | ElevenLabs only | Translate and dub audio to another language |
| Backend | Default Model | Supports | API Key | |---------|--------------|----------|---------| | **ElevenLabs** (priority 1) | `eleven_multilingual_v2` | Speech, music, SFX | `ELEVENLABS_API_KEY` | | **OpenAI** (priority 2) | `gpt-4o-mini-tts` | Speech only | `OPENAI_API_KEY` |
If ElevenLabs TTS fails, the system automatically falls back to OpenAI TTS.
| Parameter | Description | Example | |-----------|-------------|---------| | `prompt` | Text to speak (speech) or description (music/SFX) | `"Hello world!"` | | `voice` | Voice name or ID | `"Rachel"`, `"nova"`, `"alloy"` | | `audio_type` | Type of audio | `"speech"`, `"music"`, `"sound_effect"` | | `duration` | Length in seconds (music/SFX only) | `30` | | `instructions` | Speaking style (OpenAI `gpt-4o-mini-tts` only) | `"warm, reflective tone"` | | `audio_format` | Output format | `"mp3"`, `"wav"`, `"opus"` |
**ElevenLabs** (top voices): | Voice | Character | |-------|-----------| | Rachel | Warm, conversational female | | Sarah | Clear, professional female | | Josh | Friendly male | | Adam | Deep, authoritative male | | Emily | Bright, energetic female |
**OpenAI** voices: `alloy`, `echo`, `fable`, `onyx`, `nova`, `shimmer`, `coral`, `sage`
For speech, `prompt` is the **literal text to speak**. Style guidance goes in `instructions`:
# CORRECT: prompt = text to speak, instructions = how to speak it
generate_media(
prompt="Welcome to the annual report presentation.",
mode="audio",
voice="alloy",
instructions="warm, reflective tone with measured pacing",
backend_type="openai"
)
# WRONG: Don't put style instructions in prompt
generate_media(prompt="Say this warmly: Welcome...", mode="audio") # Bad!`instructions` only works with OpenAI `gpt-4o-mini-tts`. ElevenLabs uses voice selection for tone.
Use `read_media` (not `generate_media`) to analyze existing audio:
read_media(path="recording.mp3", prompt="Transcribe and summarize this audio")
🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce high-quality results. | Join us on Discord: discord.massgen.ai
Complete guide for integrating a new LLM backend into MassGen. Use when adding a new provider…
Guide for creating evolving skills - detailed workflow plans that capture what you'll do,…
This skill should be used when agents need to search codebases for text patterns or…
Guide to image generation and editing in MassGen. Use when creating images, editing existing…
Guide for creating properly structured YAML configuration files for MassGen. This skill…
Guide for using MassGen to develop and improve itself. This skill should be used when agents…