--- name: style-specification-d527d91746b8 description: Create ultra-detailed musical style specifications including genres, BPM, instrumentation, vocal direction, production aesthetics, and reference tracks for AI music generation allowed-tools: Read, Write, Edit, WebSearch, WebFetch id: SK-MAC-002 graph: domains: [domain:arts-culture] skillAreas: [skill-area:audio-processing, skill-area:prompt-engineering, skill-area:brand-strategy] roles: [role:creative-director, role:brand-manager] --- # Style Specification Create comprehensive musical style specifications optimized for AI music generation platforms like Suno and Udio. ## Overview This skill provides the framework for translating artistic vision into detailed technical specifications that AI music generators can interpret. It covers genre classification, tempo, instrumentation, vocal direction, production aesthetics, and reference track selection. ## Capabilities ### Genre Classification - Identify primary and secondary genres - Specify subgenres and micro-genres - Define genre fusion approaches - Map genre evolution and influences - Understand platform-specific genre tags ### Technical Specifications - Define BPM and tempo feel - Suggest key and mode - Specify time signatures - Set target duration - Note dynamic range requirements ### Instrumentation Design - Detail drum and percussion elements - Specify bass characteristics - Define keyboard and synth sounds - Describe guitar tones and techniques - List additional instruments - Note electronic vs organic balance ### Vocal Direction - Specify vocal style (breathy, raspy, clear) - Define register (bass to soprano) - List techniques (vibrato, runs, growls) - Describe emotional quality - Provide influence references ### Production Aesthetics - Define era reference (decades, movements) - Describe mix character (wet/dry, wide/narrow) - List effects (reverb, delay, distortion) - Specify overall sound (lo-fi, polished, raw) - Note spatial characteristics ### Reference Tracks - Select songs that exemplify specific elements - Match references to genres and eras - Identify what element each reference provides - Balance obscure and recognizable references ## Usage Guidelines ### Specification Structure ```markdown ## Genre Classification - **Primary Genre**: [Genre] - **Secondary Genres**: [List] - **Subgenres**: [Specific subgenres] ## Technical Specifications - **BPM**: [Number or range] - **Key**: [If relevant] - **Time Signature**: [4/4, 3/4, etc.] ## Instrumentation - **Drums**: [Detailed description] - **Bass**: [Type and character] - **Keys/Synths**: [Sounds and patches] - **Guitars**: [Types and tones] - **Additional**: [Other instruments] ## Vocal Direction - **Style**: [Descriptors] - **Register**: [Range] - **Techniques**: [List] - **Emotion**: [Quality] - **Influences**: [Artists] ## Production Aesthetics - **Era**: [Decade/period] - **Mix**: [Character] - **Effects**: [List] - **Sound**: [Overall quality] ## Reference Tracks 1. "[Song]" by [Artist] - for [element] 2. "[Song]" by [Artist] - for [element] 3. "[Song]" by [Artist] - for [element] ## AI Platform Prompt [Condensed single paragraph for Suno/Udio] ``` ### Quality Checklist - [ ] Genre classification is specific and accurate - [ ] BPM matches genre expectations - [ ] Instrumentation is detailed and coherent - [ ] Vocal direction is actionable - [ ] Era and production aesthetic align - [ ] Reference tracks are relevant and available - [ ] AI prompt is condensed but complete ## Integration Points ### Related Skills - SK-MAC-001 (lyric-writing) - Lyrics this style accompanies - SK-MAC-006 (genre-analysis) - Deep genre knowledge - SK-MAC-007 (vocal-direction) - Extended vocal specs - SK-MAC-008 (production-guidance) - Production details - SK-MAC-010 (music-prompt-engineering) - Platform optimization ### Related Agents - AG-MAC-002 (music-producer-agent) - Primary executor - AG-MAC-005 (album-curator-agent) - Sonic palette context ## BPM Reference Guide | Genre | Typical BPM | |-------|-------------| | Ballad | 60-80 | | R&B | 60-90 | | Hip-Hop | 80-115 | | Pop | 100-130 | | Rock | 110-140 | | House | 120-130 | | Techno | 130-150 | | Drum & Bass | 160-180 | ## References - Genre taxonomy databases (AllMusic, Discogs) - AI music platform documentation - Music production terminology guides --- Source attribution: a5c-ai Original project: https://github.com/a5c-ai/babysitter License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 Gabriel Moreira Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: a5c-ai Original project: https://github.com/a5c-ai/babysitter Attribution basis: Upstream repository explicitly recorded in package mirror path Fields of work: Marketing Roles: Content Marketer, Growth Marketer, Influencer Marketer, PR & Communications, Product Marketer Specialties: Specialty not specified Tools: Suno, Udio Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: e35bfc506f957be0fc7102b2ea9f311688c5d24320b1bfd2b22b709140bf20de