Jingle maker
Ready-to-install agent skills, each wrapping a nanoodle visual AI workflow — poster, photo restyle, jingle, narrated poem, video teaser
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Turn a one-paragraph brief into a finished jingle with vocals — an LLM writes catchy lyrics, a second LLM invents a fitting musical style, and a music model sings it. Use when the user wants a jingle, theme song, ad spot, or any short custom song from a text brief.
SKILL.md
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Jingle maker
Runs the bundled nanoodle workflow workflows/jingle.noodle-graph.json against the NanoGPT
API: a brief (Brief) feeds a lyric-writing LLM; the lyrics feed both a style-inventing LLM
and a music model, which renders the sung track (Jingle, ~30 seconds by default). Requires
Node.js >= 20 and the nanoodle npm package (npx nanoodle fetches it).
API key
The run needs a NanoGPT API key. Prefer NANOGPT_API_KEY already in the environment.
Otherwise pass --env-file <path-to-.env> (this CLI: --env-file overrides ambient env).
Never print the key.
Run
From this skill's directory (or prefix paths if running from elsewhere). Replace the
Brief value with the user's brief:
npx nanoodle run workflows/jingle.noodle-graph.json \
--input "Brief=An upbeat 30-second jingle for a neighborhood coffee shop called Morning Ember. Warm, catchy, repeat the shop name in the hook." \
--out ./jingle-out
Add --env-file .env only when the key is not already exported. Add --json for a
structured result (paths, costUsd, remainingBalance). Music generation can take a minute
or two — don't kill the run early.
Optional overrides:
--input "System prompt=<custom lyric-writer instructions>" # the lyric LLM
--input "System prompt 2=<custom style-writer instructions>" # the style LLM
--set "n4.duration=60" # longer track (seconds)
--set "n4.instrumental=true" # no vocals
Inspect the interface anytime with:
npx nanoodle inspect workflows/jingle.noodle-graph.json
Inputs
| Key | Required | What to pass |
|---|---|---|
Brief | yes | What the jingle is for — product, mood, length, anything to repeat |
System prompt | no | Custom instructions for the lyric-writing LLM |
System prompt 2 | no | Custom instructions for the style-inventing LLM |
Outputs
- Media is saved under
--outasJingle.<ext>— extension follows the audio MIME (oftenmp3). Use the path the CLI prints on theJingle:line; do not hard-code the extension. - With
--json, the path is inoutputs.Jingle.
Cost
Each run costs about $0.05–0.10 in NanoGPT credit (the Minimax-Music-02 song step
dominates; the two LLM steps are fractions of a cent). Runs spend real credit — tell the
user before running repeatedly.