What problem does it solve? Choosing the right AI music model and writing the correct API call for each one is tedious — ElevenLabs Music, ACE Step, ACE Step 1.5, audio-inpaint, and audio-outpaint all have different schemas, pricing, and prompting patterns. This Skill routes a user's music request to the right RunComfy model and ships the exact runcomfy run invocation for it. ## Core Features & Use Cases - Intent-based model routing: Classifies requests as premium vs cost-sensitive, multilingual, vocal vs instrumental, and generate vs edit, then picks ElevenLabs Music, ACE Step, or ACE Step 1.5 accordingly. - Text-to-music generation: Produces vocal songs, instrumentals, jingles, and game loops from 5 seconds to 5 minutes, with tag-driven composition and structured lyrics. - Audio editing: Regenerates a time range inside an existing track (audio-inpaint) or extends a track before/after (audio-outpaint) via ACE Step endpoints. - Use Case: A user asks for a 2-minute multilingual pop song on a budget — the Skill selects ACE Step 1.5, builds the tags and lyrics JSON, and runs runcomfy run acestep-ai/ace-step-1.5/text-to-audio to deliver the track. ## Quick Start Ask the agent to generate a 60-second upbeat indie-pop song with female vocals using the ai-music skill, and it will pick the right model and run the runcomfy CLI command for you.