music-prompt-engineering

# Music Prompt Engineering Optimize and format prompts for AI music generation platforms. ## Overview This skill provides platform-specific optimization for AI music generation prompts. It covers prompt structure, tag selection, platform syntax, iteration strategies, and quality assessment for Suno, Udio, and similar platforms. ## Capabilities ### Platform Understanding - Know Suno prompt structure and limits - Understand Udio interpretation patterns - Adapt to platform updates - Leverage platform-specific features ### Prompt Structuring - Order elements for best interpretation - Balance specificity and flexibility - Layer genre, style, and mood - Include key descriptors efficiently ### Tag Optimization - Use effective genre tags - Apply vocal style tags - Include era/production tags - Add mood and atmosphere tags ### Iteration Strategy - Design prompt variations - Test and refine approaches - Document successful patterns - Build prompt libraries ### Quality Assessment - Evaluate output match to intent - Identify interpretation issues - Refine problematic prompts - Track platform behavior changes ## Platform-Specific Guidelines ### Suno Prompts **Structure:** ``` [Genre Tags], [Era/Style], [Tempo/Energy], [Vocal Description], [Instrumentation], [Mood/Atmosphere], [Production Quality] ``` **Effective Tags:** | Category | Examples | |----------|----------| | Genre | indie rock, synth-pop, trap, lo-fi hip-hop | | Era | 80s, 90s alternative, modern pop | | Tempo | up...