sanqiufong/slides-from-anything/audio-jingle
Claude Code and agent skill by sanqiufong/slides-from-anything
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Checking that the SKILL.md file is still in the repository.
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.
Install
npx vskill@latest install sanqiufong/slides-from-anything/audio-jingleSKILL.md
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
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:
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.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/audio-jingle/SKILL.md
Popularity
- Repository stars
- 120
- Repository forks
- 11
- 7-day trend score
- 24
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
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