Agent skill

Prismer Songwriting And AI Music

by Prismer-AI in Prismer-AI/PrismerCloud

Songwriting craft and Suno AI music prompts. An agent skill from Prismer-AI/PrismerCloud.

MITAuto-check passedMedia & Creative

Install Prismer Songwriting And AI Music

skills CLI
$ npx skills add Prismer-AI/PrismerCloud --skill prismer-songwriting-and-ai-music -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Prismer-AI/PrismerCloud prismer-songwriting-and-ai-music --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sdk/cloud/catalog/skills/prismer-songwriting-and-ai-music .claude/skills/prismer-songwriting-and-ai-music && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
prismer-songwriting-and-ai-music
GitHub stars
1.6k
Used in
6 other repos
Token cost
~2.9k tokens
SKILL.md length
1,432 words
Files
4
Skills in repo
88
Repo updated
First seen
Licence
MIT

At a glance

Songwriting craft and Suno AI music prompts. An agent skill from Prismer-AI/PrismerCloud.

  • Works in 10 steps: Song Structure (Pick One or Invent Your… → Rhyme, Meter, and Sound → Emotional Arc and Dynamics → …
  • Tasks that involve Music and audio generation
  • SKILL.md covers 1. Song Structure (Pick One or…, 2. Rhyme, Meter, and Sound, 3. Emotional Arc and Dynamics and 4. Writing Lyrics That Work, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prismer Songwriting And AI Music is an agent skill from Prismer-AI/PrismerCloud. Songwriting craft and Suno AI music prompts.

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `PROVENANCE.md`).

It sits in Media & Creative, covering Music and audio generation. It works with Suno. The licence is MIT.

When your agent uses it

  • Tasks that involve Music and audio generation

Example prompts

  • “/prismer-songwriting-and-ai-music”

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Song Structure (Pick One or Invent Your Own)
  2. Rhyme, Meter, and Sound
  3. Emotional Arc and Dynamics
  4. Writing Lyrics That Work
  5. Parody and Adaptation
  6. Suno AI Prompt Engineering
  7. Phonetic Tricks for AI Singers
  8. Workflow
  9. Lessons Learned
  10. Local / Open-Source Music Generation

What it can do on your machine

Read from SKILL.md and the folder at commit 0d240dd. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Prismer Songwriting And AI Music loads about 2.9k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 1,432 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Prismer-AI/PrismerCloud at commit 0d240dd, republished under its MIT licence (© Prismer-AI). 1,432 words, ~2,866 tokens.

Download SKILL.mdSave it as .claude/skills/prismer-songwriting-and-ai-music/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
prismer-songwriting-and-ai-music
description
Songwriting craft and Suno AI music prompts.
scope
common
category
creative
version
1.0.0
author
Teknium (teknium1), Hermes Agent
license
MIT
tags
songwriting, music, suno, parody, lyrics, creative
platforms
linux, macos, windows
triggers
writing a song, song lyrics, music prompt, suno prompt, parody song, adapting a song, AI music generation
metadata.nativeReplaces
songwriting-and-ai-music
metadata.requiresExplicitGrant
true

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).

Show full SKILL.md (518 more words)Show less
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.

© Prismer-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in sdk/cloud/catalog/skills/prismer-songwriting-and-ai-music of Prismer-AI/PrismerCloud.

  • SKILL.md
  • LICENSE
  • LICENSE.hermes
  • PROVENANCE.md

Open the folder on GitHubat commit 0d240dd

Used in 6 other repositories

We found 7 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 6 other GitHub owners. This page covers the copy in Prismer-AI/PrismerCloud, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Prismer Songwriting And AI Music next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Prismer Songwriting And AI Music compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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HeartmulaRedWoodOG/Hermes-Desktop1772 repos~1.6kAutomated safety check: PassNone
HeartmulaLuciole-Studio/Misaka-Agent1712 repos~1.6kAutomated safety check: PassMIT
Audio Jinglesanqiufong/slides-from-anything1321 repos~1.1kAutomated safety check: PassApache-2.0
Musictadaspetra/loop2962 repos~827Automated safety check: PassMIT

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Works with

Questions about Prismer Songwriting And AI Music

What does Prismer Songwriting And AI Music do?

Songwriting craft and Suno AI music prompts. An agent skill from Prismer-AI/PrismerCloud. Prismer Songwriting And AI Music is an agent skill from Prismer-AI/PrismerCloud. Songwriting craft and Suno AI music prompts.

When should I use Prismer Songwriting And AI Music?

Prismer Songwriting And AI Music fits situations like: tasks that involve Music and audio generation.

How do I install Prismer Songwriting And AI Music in Claude Code?

Run `npx skills add Prismer-AI/PrismerCloud --skill prismer-songwriting-and-ai-music -a claude-code`. Or copy the skill folder (sdk/cloud/catalog/skills/prismer-songwriting-and-ai-music in Prismer-AI/PrismerCloud) into .claude/skills/prismer-songwriting-and-ai-music in your project. Claude Code loads it when a task matches its description.

How do I install Prismer Songwriting And AI Music in Codex?

Run `npx skills add Prismer-AI/PrismerCloud --skill prismer-songwriting-and-ai-music -a codex`. Or copy the skill folder (sdk/cloud/catalog/skills/prismer-songwriting-and-ai-music in Prismer-AI/PrismerCloud) into .agents/skills/prismer-songwriting-and-ai-music in your project. Codex loads it when a task matches its description.

Can I use Prismer Songwriting And AI Music in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Prismer-AI/PrismerCloud --skill prismer-songwriting-and-ai-music -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prismer-songwriting-and-ai-music, .gemini/skills/prismer-songwriting-and-ai-music, .github/skills/prismer-songwriting-and-ai-music and .opencode/skills/prismer-songwriting-and-ai-music in your project.

What does Prismer Songwriting And AI Music need to run?

SKILL.md names no scripts, command-line tools or credentials: Prismer Songwriting And AI Music is instructions for the agent only.

Does Prismer Songwriting And AI Music access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Prismer Songwriting And AI Music safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Prismer Songwriting And AI Music use?

Prismer Songwriting And AI Music is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prismer Songwriting And AI Music use?

About 2.9k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Prismer Songwriting And AI Music?

Skills that share tags, products or a category with Prismer Songwriting And AI Music: AI Music And Sound (social-media-skills/skills, 134 stars), Heartmula (RedWoodOG/Hermes-Desktop, 177 stars), Heartmula (Luciole-Studio/Misaka-Agent, 171 stars) and Audio Jingle (sanqiufong/slides-from-anything, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prismer Songwriting And AI Music?

Prismer-AI (a GitHub organization) maintains it in Prismer-AI/PrismerCloud, which has 1,555 GitHub stars. The repository holds 88 skills in this directory. The repository was last updated on October 11, 2026.

Source: Prismer-AI/PrismerCloud on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.