🎁 Get the FREE AI Skills Starter Guide β€” Subscribe β†’
BytesAgainBytesAgain
πŸ¦€ ClawHub

suno-poetry-music-creator

by @skyni8568

Enhanced Suno song creator with reference song analysis and intelligent lyric optimization. Analyzes user's reference songs to extract style, mood, and struc...

Versionv1.0.0
Downloads583
Stars⭐ 1
TERMINAL
clawhub install suno-poetry-music-creator

πŸ“– About This Skill


name: suno-poetry-music-creator description: Enhanced Suno song creator with reference song analysis and intelligent lyric optimization. Analyzes user's reference songs to extract style, mood, and structure patterns. Iteratively optimizes lyrics based on Suno generation feedback. Creates AI-generated songs with Suno that match user's musical preferences. Use when user wants to create AI-generated songs, optimize lyrics, analyze reference tracks, or create Chinese classical style songs with proper rhyme and tonal patterns.

Suno Song Creator Enhanced 🎡✨

Transform creative themes into AI-generated songs with Suno, now with reference song analysis and intelligent lyric optimization.

When to Use

  • User wants to create a song similar to a reference track
  • User says "make a song like [artist/song]..."
  • User wants to optimize lyrics after Suno generation
  • User needs help matching a specific musical style
  • User wants to turn poetry into a song with specific genre constraints
  • User wants to create Chinese classical style songs with proper rhyme and tonal patterns
  • Quick Start

    User: "εˆ›δ½œδΈ€ι¦–ε…³δΊŽζ˜₯ε€©ηš„ζ­ŒοΌŒι£Žζ Όεƒε‘¨ζ°δΌ¦ηš„γ€Šι’θŠ±η“·γ€‹"
    β†’ εˆ†ζžε‚θ€ƒζ­Œζ›² β†’ η”Ÿζˆζ­Œθ― β†’ δΌ˜εŒ– β†’ θΎ“ε‡Ί Suno ι£Žζ Όζ ‡η­Ύ
    

    Complete Workflow

    Phase 1: Discovery

    1. Understand theme/concept 2. Ask for reference song (optional but recommended) 3. Determine target mood and style 4. Identify cultural/linguistic context

    Phase 2: Research & Analysis

    IF reference provided: β†’ Analyze reference song characteristics (see [references/lyric-examples.md] for analysis framework) β†’ Extract style DNA β†’ Map to Suno tags

    ELSE: β†’ Use default style selection β†’ Research poetry for theme

    IF Chinese classical style: β†’ Consult [references/chinese-rhyme.md] for rhyme scheme β†’ Apply tonal patterns and couplet techniques

    Phase 3: Creation - First Draft

    1. Generate initial lyrics with proper structure 2. Create style tags based on analysis 3. Present complete package to user

    Phase 4: Poetic Elevation ⬆️

    Transform first draft into poetic version:
  • Apply personification and metaphor
  • Enhance sensory details (sound, touch, smell)
  • Create dynamic imagery
  • Elevate personal emotions to universal themes
  • Add musical arrangement guidance
  • See [references/lyric-examples.md] for detailed examples.

    Phase 5: Optimization (if needed)

    IF user wants changes: β†’ Identify specific issues β†’ Apply optimization rules β†’ Generate improved version β†’ Repeat up to 3 times

    Reference Song Analysis 🎧

    When user provides a reference song/artist:

    Step 1: Extract Reference Information

    Artist: [Artist Name]
    Song: [Song Title]
    Genre: [Inferred Genre]
    Era: [Time Period]
    Mood: [Emotional Tone]
    

    Step 2: Analyze Musical Characteristics Use web search to find:

  • Song structure (Verse-Chorus pattern, Bridge placement)
  • Instrumentation and arrangement style
  • Vocal style and range
  • Tempo and rhythm characteristics
  • Lyrical themes and imagery patterns
  • Step 3: Extract Style DNA

    Reference Analysis:
      genre: [Primary Genre]
      sub_genre: [Sub-style]
      tempo: [BPM range or descriptor]
      mood: [Emotional profile]
      instrumentation: [Key instruments]
      vocal_style: [Vocal characteristics]
      lyrical_density: [Wordy/Minimal/Average]
      rhyme_scheme: [Rhyme pattern]
      chorus_hook: [Hook style]
    

    Step 4: Map to Suno Style Tags

    [Genre], [Sub-genre], [Mood], [Instrumentation], [Vocal Style]
    

    Lyric Optimization Loop πŸ”„

    When Suno generation doesn't meet expectations:

    Step 1: Analyze Feedback Identify issues:

  • ❌ Lyrics too long/short for melody
  • ❌ Words don't flow well with music
  • ❌ Emotion not matching style
  • ❌ Pronunciation issues
  • ❌ Need more/less repetition
  • ❌ Lacks poetic depth or imagery
  • ❌ Too plain or clichΓ©
  • Step 2: Apply Optimization Rules

    Rule 1: Poetic Elevation ⬆️ Transform plain descriptions into poetic imagery:

    Before: ζ˜₯ι£Žζ‹‚ζŸ³η»ΏζžθŠ½
    After:  ζ˜₯ι£Žε€ŸζŸ³ η»‡ε‡ ζŠΉζ–°θŠ½
    
    Techniques: Personification, sensory details, dynamic action See [references/lyric-examples.md] for complete examples.

    Rule 2: Length Adjustment

  • Target: 4-8 syllables per line for most genres
  • Break long lines or combine short ones
  • Rule 3: Flow Improvement

  • Eliminate tongue twisters
  • Soften hard consonants at line ends
  • Add alliteration or assonance
  • Rule 4: Emotional Alignment

  • Match word intensity to music energy
  • High energy β†’ Strong, active verbs
  • Soft music β†’ Gentle, flowing imagery
  • Rule 5: Repetition Strategy

  • Chorus: 60-70% repeated phrases
  • Verse: 20-30% internal repetition
  • Bridge: Fresh content, minimal repetition
  • Rule 6: Emotional Depth Enhancement πŸ’«

    Before: θŽ«ι“η¦»εˆ«θ‹¦ / 且将思忡藏
    After:  θŽ«εΉη¦»εˆ«θ‹¦ / ε²ζœˆζš—ζ΅θ—
    
    Techniques: Personal→Universal, metaphorical depth, philosophical undertones

    Chinese Classical Style Guide

    For Chinese classical style songs:

    1. Consult [references/chinese-rhyme.md] for γ€ŠδΈ­εŽζ–°ιŸ΅γ€‹14ιŸ΅ιƒ¨ 2. Choose one rhyme category and stick to it throughout the song 3. Apply tonal patterns - alternate between level (εΉ³) and oblique (δ»„) tones 4. Use couplet techniques - parallel structure in adjacent lines

    Example couplet:

    ζ˜₯ι£Žζ‹‚ζŸ³ / 细雨梦物  (ζ˜₯ι£Žε―Ήη»†ι›¨οΌŒζ‹‚ζŸ³ε―ΉζΆ¦η‰©)
    桁水无情 / ι’ε±±ζœ‰ζ„  (ζ΅ζ°΄ε―Ήι’ε±±οΌŒζ— ζƒ…ε―Ήζœ‰ζ„)
    

    Style Tag Library

    By Genre

    Pop: Pop, Catchy, Radio-friendly, Modern
    Rock: Rock, Electric Guitar, Energetic, Driving
    Jazz: Jazz, Smooth, Saxophone, Sophisticated
    Classical: Classical, Orchestral, Cinematic, Epic
    Electronic: Electronic, Synth, EDM, Upbeat
    Folk: Folk, Acoustic, Storytelling, Intimate
    R&B: R&B, Soulful, Groove, Smooth
    Hip-Hop: Hip-Hop, Rap, Beats, Urban
    Chinese Classical: Chinese Classical, Folk, Erhu, Guzheng, Female Vocal, Melancholic, Cinematic
    

    By Mood

    Happy: Upbeat, Cheerful, Bright, Positive
    Sad: Melancholic, Somber, Emotional, Tearful
    Energetic: High Energy, Intense, Powerful, Driving
    Calm: Peaceful, Relaxing, Gentle, Serene
    Romantic: Love, Passionate, Tender, Intimate
    Dark: Moody, Brooding, Mysterious, Intense
    

    Best Practices

    1. Always ask for reference - Even vague references help ("like 80s synth-pop" or "similar to Adele's ballads")

    2. Iterate based on feedback - Don't expect perfection on first try

    3. Match style to content - Sad lyrics need appropriate musical backing

    4. Keep Suno's limitations in mind: - ~120-150 words maximum for best results - Shorter phrases work better - Clear enunciation helps - Repetition is your friend for hooks

    5. Cultural sensitivity - When adapting classical poetry, respect the original meaning while making it singable

    6. Poetic Elevation is key - First drafts are often plain; always look for opportunities to elevate

    7. Learn from feedback - When users share improved versions, analyze what changed and why

    Integration with Tools

  • web_search: Research reference songs and artists
  • browser: Suno automation and reference listening
  • gemini: Poetry research and lyric generation
  • image: Analyze album artwork for style cues (if provided)
  • Safety & Ethics

  • Respect artist copyrights - analyze style, don't copy lyrics
  • Inform users about Suno's terms of service
  • Credit original poets when adapting classical works
  • Be mindful of cultural appropriation when using traditional styles
  • ⚑ When to Use

    TriggerAction
    - User says "make a song like [artist/song]..."
    - User wants to optimize lyrics after Suno generation
    - User needs help matching a specific musical style
    - User wants to turn poetry into a song with specific genre constraints
    - User wants to create Chinese classical style songs with proper rhyme and tonal patterns

    πŸ’‘ Examples

    User: "εˆ›δ½œδΈ€ι¦–ε…³δΊŽζ˜₯ε€©ηš„ζ­ŒοΌŒι£Žζ Όεƒε‘¨ζ°δΌ¦ηš„γ€Šι’θŠ±η“·γ€‹"
    β†’ εˆ†ζžε‚θ€ƒζ­Œζ›² β†’ η”Ÿζˆζ­Œθ― β†’ δΌ˜εŒ– β†’ θΎ“ε‡Ί Suno ι£Žζ Όζ ‡η­Ύ
    

    πŸ“‹ Tips & Best Practices

    1. Always ask for reference - Even vague references help ("like 80s synth-pop" or "similar to Adele's ballads")

    2. Iterate based on feedback - Don't expect perfection on first try

    3. Match style to content - Sad lyrics need appropriate musical backing

    4. Keep Suno's limitations in mind: - ~120-150 words maximum for best results - Shorter phrases work better - Clear enunciation helps - Repetition is your friend for hooks

    5. Cultural sensitivity - When adapting classical poetry, respect the original meaning while making it singable

    6. Poetic Elevation is key - First drafts are often plain; always look for opportunities to elevate

    7. Learn from feedback - When users share improved versions, analyze what changed and why