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Prismer Songwriting And Ai Music

OrganizationPopular
Prismer-AI
prismer-songwriting-and-ai-music

Songwriting craft and Suno AI music prompts.

Overview

PublisherPrismer-AI
RepositoryPrismerCloud
Skill nameprismer-songwriting-and-ai-music
Stars
1.6K
Forks
17
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Prismer-AI on GitHub. Read the source before you install it.

Installation

Install the Prismer Songwriting And Ai Music AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-songwriting-and-ai-music
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git /tmp/PrismerCloud
mkdir -p .claude/skills
cp -r /tmp/PrismerCloud/sdk/cloud/catalog/skills/prismer-songwriting-and-ai-music .claude/skills/prismer-songwriting-and-ai-music
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prismer Songwriting And Ai Music in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Prismer Songwriting And Ai Music on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Prismer Songwriting And Ai Music is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Songwriting & AI Music Generation

Everything here is a GUIDELINE, not a rule. Art breaks rules on purpose. Use what serves the song. Ignore what doesn't.


1. Song Structure (Pick One or Invent Your Own)

Common skeletons — mix, modify, or throw out as needed:

ABABCB  Verse/Chorus/Verse/Chorus/Bridge/Chorus    (most pop/rock)
AABA    Verse/Verse/Bridge/Verse (refrain-based)    (jazz standards, ballads)
ABAB    Verse/Chorus alternating                    (simple, direct)
AAA     Verse/Verse/Verse (strophic, no chorus)     (folk, storytelling)

The six building blocks:

  • Intro — set the mood, pull the listener in
  • Verse — the story, the details, the world-building
  • Pre-Chorus — optional tension ramp before the payoff
  • Chorus — the emotional core, the part people remember
  • Bridge — a detour, a shift in perspective or key
  • Outro — the farewell, can echo or subvert the rest

You don't need all of these. Some great songs are just one section that evolves. Structure serves the emotion, not the other way around.


2. Rhyme, Meter, and Sound

RHYME TYPES (from tight to loose):

  • Perfect: lean/mean
  • Family: crate/braid
  • Assonance: had/glass (same vowels, different endings)
  • Consonance: scene/when (different vowels, similar endings)
  • Near/slant: enough to suggest connection without locking it down

Mix them. All perfect rhymes can sound like a nursery rhyme. All slant rhymes can sound lazy. The blend is where it lives.

INTERNAL RHYME: Rhyming within a line, not just at the ends. "We pruned the lies from bleeding trees / Distilled the storm from entropy" — "lies/flies," "trees/entropy" create internal echoes.

METER: The rhythm of stressed vs unstressed syllables.

  • Matching syllable counts between parallel lines helps singability
  • The STRESSED syllables matter more than total count
  • Say it out loud. If you stumble, the meter needs work.
  • Intentionally breaking meter can create emphasis or surprise

3. Emotional Arc and Dynamics

Think of a song as a journey, not a flat road.

ENERGY MAPPING (rough idea, not prescription): Intro: 2-3 | Verse: 5-6 | Pre-Chorus: 7 Chorus: 8-9 | Bridge: varies | Final Chorus: 9-10

The most powerful dynamic trick: CONTRAST.

  • Whisper before a scream hits harder than just screaming
  • Sparse before dense. Slow before fast. Low before high.
  • The drop only works because of the buildup
  • Silence is an instrument

"Whisper to roar to whisper" — start intimate, build to full power, strip back to vulnerability. Works for ballads, epics, anthems.


4. Writing Lyrics That Work

SHOW, DON'T TELL (usually):

  • "I was sad" = flat
  • "Your hoodie's still on the hook by the door" = alive
  • But sometimes "I give my life" said plainly IS the power

THE HOOK:

  • The line people remember, hum, repeat
  • Usually the title or core phrase
  • Works best when melody + lyric + emotion all align
  • Place it where it lands hardest (often first/last line of chorus)

PROSODY — lyrics and music supporting each other:

  • Stable feelings (resolution, peace) pair with settled melodies, perfect rhymes, resolved chords
  • Unstable feelings (longing, doubt) pair with wandering melodies, near-rhymes, unresolved chords
  • Verse melody typically sits lower, chorus goes higher
  • But flip this if it serves the song

AVOID (unless you're doing it on purpose):

  • Cliches on autopilot ("heart of gold" without earning it)
  • Forcing word order to hit a rhyme ("Yoda-speak")
  • Same energy in every section (flat dynamics)
  • Treating your first draft as sacred — revision is creation

5. Parody and Adaptation

When rewriting an existing song with new lyrics:

THE SKELETON: Map the original's structure first.

  • Count syllables per line
  • Mark the rhyme scheme (ABAB, AABB, etc.)
  • Identify which syllables are STRESSED
  • Note where held/sustained notes fall

FITTING NEW WORDS:

  • Match stressed syllables to the same beats as the original
  • Total syllable count can flex by 1-2 unstressed syllables
  • On long held notes, try to match the VOWEL SOUND of the original (if original holds "LOOOVE" with an "oo" vowel, "FOOOD" fits better than "LIFE")
  • Monosyllabic swaps in key spots keep rhythm intact (Crime -> Code, Snake -> Noose)
  • Sing your new words over the original — if you stumble, revise

CONCEPT:

  • Pick a concept strong enough to sustain the whole song
  • Start from the title/hook and build outward
  • Generate lots of raw material (puns, phrases, images) FIRST, then fit the best ones into the structure
  • If you need a specific line somewhere, reverse-engineer the rhyme scheme backward to set it up

KEEP SOME ORIGINALS: Leaving a few original lines or structures intact adds recognizability and lets the audience feel the connection.


6. Suno AI Prompt Engineering

Style/Genre Description Field

FORMULA (adapt as needed): Genre + Mood + Era + Instruments + Vocal Style + Production + Dynamics

BAD:  "sad rock song"
GOOD: "Cinematic orchestral spy thriller, 1960s Cold War era, smoky
       sultry female vocalist, big band jazz, brass section with
       trumpets and french horns, sweeping strings, minor key,
       vintage analog warmth"

DESCRIBE THE JOURNEY, not just the genre:

"Begins as a haunting whisper over sparse piano. Gradually layers
 in muted brass. Builds through the chorus with full orchestra.
 Second verse erupts with raw belting intensity. Outro strips back
 to a lone piano and a fragile whisper fading to silence."

TIPS:

  • V4.5+ supports up to 1,000 chars in Style field — use them
  • NO artist names or trademarks. Describe the sound instead. "1960s Cold War spy thriller brass" not "James Bond style" "90s grunge" not "Nirvana-style"
  • Specify BPM and key when you have a preference
  • Use Exclude Styles field for what you DON'T want
  • Unexpected genre combos can be gold: "bossa nova trap", "Appalachian gothic", "chiptune jazz"
  • Build a vocal PERSONA, not just a gender: "A weathered torch singer with a smoky alto, slight rasp, who starts vulnerable and builds to devastating power"

Metatags (place in [brackets] inside lyrics field)

STRUCTURE: [Intro] [Verse] [Verse 1] [Pre-Chorus] [Chorus] [Post-Chorus] [Hook] [Bridge] [Interlude] [Instrumental] [Instrumental Break] [Guitar Solo] [Breakdown] [Build-up] [Outro] [Silence] [End]

VOCAL PERFORMANCE: [Whispered] [Spoken Word] [Belted] [Falsetto] [Powerful] [Soulful] [Raspy] [Breathy] [Smooth] [Gritty] [Staccato] [Legato] [Vibrato] [Melismatic] [Harmonies] [Choir] [Harmonized Chorus]

DYNAMICS: [High Energy] [Low Energy] [Building Energy] [Explosive] [Emotional Climax] [Gradual swell] [Orchestral swell] [Quiet arrangement] [Falling tension] [Slow Down]

GENDER: [Female Vocals] [Male Vocals]

ATMOSPHERE: [Melancholic] [Euphoric] [Nostalgic] [Aggressive] [Dreamy] [Intimate] [Dark Atmosphere]

SFX: [Vinyl Crackle] [Rain] [Applause] [Static] [Thunder]

Put tags in BOTH style field AND lyrics for reinforcement. Keep to 5-8 tags per section max — too many confuses the AI. Don't contradict yourself ([Calm] + [Aggressive] in same section).

Custom Mode

  • Always use Custom Mode for serious work (separate Style + Lyrics)
  • Lyrics field limit: ~3,000 chars (~40-60 lines)
  • Always add structural tags — without them Suno defaults to flat verse/chorus/verse with no emotional arc

7. Phonetic Tricks for AI Singers

AI vocalists don't read — they pronounce. Help them:

PHONETIC RESPELLING:

  • Spell words as they SOUND: "through" -> "thru"
  • Proper nouns are highest failure rate — test early
  • "Nous" -> "Noose" (forces correct pronunciation)
  • Hyphenate to guide syllables: "Re-search", "bio-engineering"

DELIVERY CONTROL:

  • ALL CAPS = louder, more intense
  • Vowel extension: "lo-o-o-ove" = sustained/melisma
  • Ellipses: "I... need... you" = dramatic pauses
  • Hyphenated stretch: "ne-e-ed" = emotional stretch

ALWAYS:

  • Spell out numbers: "24/7" -> "twenty four seven"
  • Space acronyms: "AI" -> "A I" or "A-I"
  • Test proper nouns/unusual words in a short 30-second clip first
  • Once generated, pronunciation is baked in — fix in lyrics BEFORE

8. Workflow

  1. Write the concept/hook first — what's the emotional core?
  2. If adapting, map the original structure (syllables, rhyme, stress)
  3. Generate raw material — brainstorm freely before structuring
  4. Draft lyrics into the structure
  5. Read/sing aloud — catch stumbles, fix meter
  6. Build the Suno style description — paint the dynamic journey
  7. Add metatags to lyrics for performance direction
  8. Generate 3-5 variations minimum — treat them like recording takes
  9. Pick the best, use Extend/Continue to build on promising sections
  10. If something great happens by accident, keep it

EXPECT: ~3-5 generations per 1 good result. Revision is normal. Style can drift in extensions — restate genre/mood when extending.


9. Lessons Learned

  • Describing the dynamic ARC in the style field matters way more than just listing genres. "Whisper to roar to whisper" gives Suno a performance map.
  • Keeping some original lines intact in a parody adds recognizability and emotional weight — the audience feels the ghost of the original.
  • The bridge slot in a song is where you can transform imagery. Swap the original's specific references for your theme's metaphors while keeping the emotional function (reflection, shift, revelation).
  • Monosyllabic word swaps in hooks/tags are the cleanest way to maintain rhythm while changing meaning.
  • A strong vocal persona description in the style field makes a bigger difference than any single metatag.
  • Don't be precious about rules. If a line breaks meter but hits harder, keep it. The feeling is what matters. Craft serves art, not the other way around.

10. Local / Open-Source Music Generation

For local, GPU-based generation instead of Suno, two optional skills cover this (heavy dependencies, so not installed by default):

  • heartmula — full songs with vocals from lyrics + tags (open-source Suno alternative, 8-16GB VRAM): hermes skills install official/creative/heartmula
  • audiocraft — Meta's MusicGen (instrumental text-to-music) and AudioGen (sound effects): hermes skills install official/creative/audiocraft-audio-generation

The lyric-writing and prompting craft in this skill applies to heartmula too — its input format is lyrics with bracketed structure tags plus comma-separated style tags.

Source and service boundary

Lyric craft works without an external account. Suno/audio generation is optional and requires an available, authorized service; version-specific tag behavior is not guaranteed. Preserve original authorship and source attribution. Do not pass copyrighted lyrics or user private material to a service outside the authorized scope. Deliver drafts as drafts, not as recorded or licensed audio.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Prismer Songwriting And Ai Music AI skill do?

Songwriting craft and Suno AI music prompts.

Why use Prismer Songwriting And Ai Music on TypingMind?

Because you install it once and use it with any model. Prismer Songwriting And Ai Music is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Prismer Songwriting And Ai Music in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Prismer-AI/PrismerCloud/tree/main/sdk/cloud/catalog/skills/prismer-songwriting-and-ai-music. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Prismer Songwriting And Ai Music?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Prismer Songwriting And Ai Music?

As many as you like. As long as a model supports skills, you can use Prismer Songwriting And Ai Music with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prismer Songwriting And Ai Music AI skill free?

Yes. It is published on GitHub by Prismer-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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