Agent skill · Media & Video

music-prompt-engineering

Optimize and format prompts specifically for AI music generation platforms like Suno and Udio, including platform-specific syntax and tag optimization

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill music-prompt-engineering --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Allowed tools: ReadWriteEditWebSearchWebFetch
Path: library/specializations/domains/social-sciences-humanities/arts-culture/music-album-creation/skills/music-prompt-engineering/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. Overview
  2. Capabilities
  3. Platform Understanding
  4. Prompt Structuring
  5. Tag Optimization
  6. Iteration Strategy
  7. Quality Assessment
  8. Platform-Specific Guidelines
  9. Suno Prompts
  10. Udio Prompts
  11. Prompt Templates
  12. Genre-Focused Template
  13. Artist-Focused Template
  14. Production-Focused Template
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About this skill
What does the music-prompt-engineering skill do?

Optimize and format prompts specifically for AI music generation platforms like Suno and Udio, including platform-specific syntax and tag optimization

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill music-prompt-engineering --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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