audio-jingle

name	audio-jingle
description	Audio generation skill — jingles, beds, voiceover, and sound effects. Routes music requests to Suno V5 / Udio / Lyria, speech to MiniMax TTS / FishAudio / ElevenLabs V3, and SFX to ElevenLabs SFX or AudioCraft. Output is one MP3/WAV file saved to the project folder.
triggers	["music","jingle","bed","voiceover","tts","sound effect","音乐","配音","音效"]
od	{"mode":"audio","surface":"audio","scenario":"marketing","preview":{"type":"html","entry":"example.html"},"design_system":{"requires":false},"example_prompt":"A 30-second upbeat indie-pop jingle for a coffee shop launch — warm\nelectric piano lead, brushed drums, gentle bass, a single sun-soaked\n\"ahhh\" choir on the chorus. No vocals. Loop-friendly tail.\n"}

Audio Jingle Skill

Three sub-modes. The active project's audioKind decides which one runs:

audioKind	Models we route to	Plan focus
music	Suno V5 (default), Udio, Lyria 2	genre + tempo + instrumentation
speech	MiniMax TTS (default), Fish, ElevenLabs V3	script + voice + pacing
sfx	ElevenLabs SFX (default), AudioCraft	texture + impact + duration

Resource map

audio-jingle/
├── SKILL.md
└── example.html

Workflow

Step 0 — Read the project metadata

audioKind, audioModel, audioDuration (seconds), and (for speech) voice. Branch by audioKind and use the values verbatim — no clarifying form unless something is marked (unknown — ask).

Important: voice is provider-specific. For minimax-tts, --voice must be a valid MiniMax voice_id (for example male-qn-qingse), not a natural-language description. If you only have a prose voice brief ("warm female narrator", "neutral Mandarin"), keep that in your plan but omit --voice so the daemon's default voice id applies, or ask the user to choose a specific id.

Step 1 — Plan

Music

• Genre + reference artists (1-2)
• Tempo (BPM) + key
• Instrumentation (3-5 instruments max)
• Vocals: yes / no / hummed / choir
• Mood arc (intro → chorus → outro)

Speech

• Script (final, not draft — TTS runs verbatim)
• Voice target + pacing For MiniMax this means a real voice_id, not prose in --voice
• Pronunciation hints for proper nouns / acronyms

SFX

• Texture (impact / whoosh / ambience / foley)
• Duration + envelope (sharp attack vs. gentle swell)
• Layering note (single hit vs. stacked)

State the plan in 2-3 sentences before dispatching.

Step 2 — Compose the prompt

Use the format the upstream model prefers. Bind audioDuration to the API parameter directly; never put "make it 30 seconds" in prose.

Step 3 — Dispatch via the media contract

Use the unified dispatcher — do not call provider APIs by hand:

node "$OD_BIN" media generate \
  --project "$OD_PROJECT_ID" \
  --surface audio \
  --audio-kind "<music|speech|sfx>" \
  --model "<audioModel from metadata>" \
  --duration <audioDuration seconds> \
  [--voice "<provider voice id (speech only)>"] \
  --output "<short-slug>-<duration>s.mp3" \
  --prompt "<assembled prompt from Step 2 — for speech, the literal script>"

The command prints one line of JSON: {"file": {"name": "...", ...}}. The bytes land in the project; the FileViewer renders the audio transport controls automatically.

Step 4 — Hand off

Reply with: plan summary, the filename returned by the dispatcher, and one sentence on what to try if the user wants a variation (e.g. "swap tempo from 92 to 108 BPM" rather than "make it different").

Hard rules

• TTS runs your script literally. Proof it before dispatching — even one stray comma changes the cadence.
• MiniMax TTS rejects free-form voice prose in --voice. Use a real MiniMax voice_id (for example male-qn-qingse) or omit the flag and let the daemon's default voice apply.
• Music: under 30s = single section; 30–90s = intro + body; 90s+ = full arc. Don't try to fit a 3-act song into 15 seconds.
• SFX: prefer one well-described layer over a paragraph of "make it cool" — generators reward specific texture words.
• Save the file every turn. The audio viewer shows transport controls the moment the file lands.