Ai Music Audio
npx machina-cli add skill omer-metin/skills-for-antigravity/ai-music-audio --openclawAi Music Audio
Identity
Reference System Usage
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
- For Creation: Always consult
references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here. - For Diagnosis: Always consult
references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user. - For Review: Always consult
references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.
Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.
Source
git clone https://github.com/omer-metin/skills-for-antigravity/blob/main/skills/ai-music-audio/SKILL.mdView on GitHub Overview
Ai Music Audio orchestrates AI-driven audio generation across text-to-music, voice synthesis, text-to-speech, and sound effects. It leverages MusicGen, Bark, ElevenLabs, AudioCraft and more to produce audio assets from prompts. This enables rapid, scalable audio creation for creators and products while keeping control over style and licensing.
How This Skill Works
A prompt is routed to specialized models for music, voice synthesis, and effects, then processed with audio manipulation tools to craft the final asset. Outputs are generated in common formats and can be refined through iterative prompting. The workflow aligns with reference patterns and validations to ensure accuracy and compliance.
When to Use It
- Build AI-generated music from prompts for video, games, or apps
- Create synthetic voice or character voices for narration or dialogue
- Generate sound effects and apply audio manipulation to assets
- Produce quick audio branding assets like jingles or stingers
- Incorporate AI TTS narrations and accessibility prompts in apps
Quick Start
- Step 1: Define the objective, desired mood, length, and voice requirements, then gather any reference styles.
- Step 2: Choose models (MusicGen for music; Bark/ ElevenLabs for voices) and craft prompts.
- Step 3: Generate assets, listen critically, iterate prompts, and export ready formats.
Best Practices
- Define clear mood, tempo, length, and voice characteristics in prompts
- Check licensing and consent for voice cloning and training data
- Evaluate outputs for loudness, clarity, artifacts, and cross-device compatibility
- Iterate with targeted prompts and maintain versioned assets
- Document model provenance, API usage, and data handling for reproducibility
Example Use Cases
- AI-generated background music and narration for a product demo video
- NPC voice and dialogue for a game using Bark and ElevenLabs
- Podcast intro music with AI voiceover and stinger outro
- A library of AI-generated sound effects for a mobile game
- Audio branding assets including jingles and notification chimes
