---
name: lyric-writing
description: Write complete song lyrics with structural annotations and production notes optimized for AI music generation platforms like Suno and Udio
allowed-tools: Read, Write, Edit, WebSearch
id: SK-MAC-001
graph:
  domains: [domain:arts-culture]
  skillAreas: [skill-area:natural-language-processing, skill-area:content-strategy, skill-area:prompt-engineering]
  roles: [role:ux-writer, role:content-strategist]
---

# Lyric Writing

Write complete, emotionally resonant song lyrics with detailed structural annotations and embedded production notes for AI music generation.

## Overview

This skill provides comprehensive lyric writing capabilities optimized for text-to-music AI platforms. It encompasses structural design, emotional mapping, hook development, and the embedding of production directions within the lyrics themselves.

## Capabilities

### Structural Composition
- Write complete verse-chorus-bridge structures
- Design pre-choruses and post-choruses
- Create intros, outros, and instrumental breaks
- Develop song sections with appropriate line counts
- Balance repetition and variation

### Production Annotations
- Embed delivery directions: `[whispered]`, `[spoken word]`, `[belt]`
- Include dynamics: `[building]`, `[soft]`, `[crescendo]`, `[fade]`
- Add vocal techniques: `[falsetto]`, `[raspy]`, `[breathy]`
- Note harmonies and layers: `[harmony]`, `[double-tracked]`
- Mark ad-lib sections: `[ad-lib]`, `[improvise]`

### Emotional Mapping
- Design emotional arcs within songs
- Create tension and release patterns
- Build to climactic moments
- Craft vulnerable, intimate sections
- Balance intensity throughout

### Hook Development
- Create memorable chorus hooks
- Design catchy phrase patterns
- Develop callback lines and motifs
- Craft earworm melodies through syllabics

### Voice Consistency
- Maintain artist persona throughout
- Match lyrical style to genre
- Keep thematic coherence
- Preserve character voice

## Usage Guidelines

### Annotation Standards
```
[Verse 1]
Opening lines that set the scene
[building] Lines that increase in intensity
[whispered] Intimate, soft delivery here

[Pre-Chorus]
[spoken word] Transition moment
Building tension toward chorus

[Chorus]
[belt] Main hook with power
Memorable, repeatable lines
[harmony] Layered vocal moment

[Bridge]
[falsetto] Vulnerable high notes
[raw] Emotionally exposed delivery

[Outro]
[fade] Final fading lines...
```

### Quality Checklist
- [ ] Clear structural markers for all sections
- [ ] Production notes embedded where needed
- [ ] Emotional arc mapped and intentional
- [ ] Hooks are memorable and repeatable
- [ ] Voice matches artist persona
- [ ] Syllable counts support melodic flow
- [ ] Rhyme scheme is intentional (tight or loose)

## Integration Points

### Related Skills
- SK-MAC-002 (style-specification) - Musical context for lyrics
- SK-MAC-004 (persona-development) - Voice and character
- SK-MAC-005 (album-conceptualization) - Thematic alignment

### Related Agents
- AG-MAC-001 (lyricist-agent) - Primary executor
- AG-MAC-005 (album-curator-agent) - Thematic guidance

## Output Format

```markdown
# [Song Title]

**Artist**: [Artist Name]
**Album**: [Album Name]
**Track**: [Number]

## Lyrics

[Intro]
...

[Verse 1]
...

[Chorus]
...

---

## Production Notes
- Key emotional moments: ...
- Dynamic range: ...
- Special directions: ...
```

## References

- Song structure theory and common forms
- AI music platform annotation best practices
- Emotional songwriting techniques


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter/blob/feb68abe397acc14f32b34984975c48fedba2b33/library/specializations/domains/social-sciences-humanities/arts-culture/music-album-creation/skills/lyric-writing/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

# MIT License

Copyright (c) 2025 A5C AI

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/blob/feb68abe397acc14f32b34984975c48fedba2b33/library/specializations/domains/social-sciences-humanities/arts-culture/music-album-creation/skills/lyric-writing/SKILL.md
Attribution basis: Source repository record

Fields of work: Content & Media, Marketing
Roles: Content Marketer, Copywriter, Influencer Marketer
Specialties: Specialty not specified
Tools: Suno, Udio
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: fad5a0c2c3ed1c9f1f8d614b18ccefb4de6fb6af0fc33011a381a444256b6fb9