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audio-jingle

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.

Examiner la source Voir sur GitHub

Prix non confirmé★ 89,595 Stars GitHubRegistre mis à jour · 12 sept. 2026agent-skill

Vue d’ensemble

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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 known values and use them verbatim. Missing metadata is not an instruction to ask: infer a safe default when possible, and emit a clarifying form only when the missing answer would materially change the requested output or prevent generation.

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:

"$OD_NODE_BIN" "$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.

Voir la source ↗

Métadonnées du fichier

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
    electric piano lead, brushed drums, gentle bass, a single sun-soaked
    "ahhh" choir on the chorus. No vocals. Loop-friendly tail.

Voir le texte original

---
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
    electric piano lead, brushed drums, gentle bass, a single sun-soaked
    "ahhh" choir on the chorus. No vocals. Loop-friendly tail.
---

# 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 known values and use them verbatim. Missing metadata is not
an instruction to ask: infer a safe default when possible, and emit a
clarifying form only when the missing answer would materially change the
requested output or prevent generation.

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:

```bash
"$OD_NODE_BIN" "$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.

Examiner la source

Prix et coûts d’utilisation

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L’utiliser: Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence: Apache-2.0
Prix non confirmé: Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Source à réexaminer

La source a changé ou sa synchronisation a échoué. Vérifiez-la avant installation.

Réviser avant installation: Éviter l’installation automatique

Licence: Apache-2.0

Permission surface may require sandboxing
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
The referenced example.html file is not included in the submitted directory, though it is not essential for the skill's core functionality.
The skill assumes the presence of the OpenAgentSkill environment (OD_* variables) without explicitly stating that it is a prerequisite, which might confuse users outside that context.
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Permission surface needs review: shell or command execution, filesystem or document access
Permission surface: shell or command execution, filesystem or document access

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

Répertorié

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: nexu-io/open-design
Licence: Apache-2.0
Version: 1.0.0
Dernier push GitHub: 20 août 2026
Registre mis à jour: 12 sept. 2026
Chemin des instructions: design-templates/audio-jingle/SKILL.md

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

92/100

Excellent

Confiance

67/100

Sandbox uniquement

Audit

83/100

Risqué

Ouvrir l’audit complet Voir le rapport d’évaluation

Permission surface may require sandboxing
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
The referenced example.html file is not included in the submitted directory, though it is not essential for the skill's core functionality.
The skill assumes the presence of the OpenAgentSkill environment (OD_* variables) without explicitly stating that it is a prerequisite, which might confuse users outside that context.
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Permission surface needs review: shell or command execution, filesystem or document access
Permission surface: shell or command execution, filesystem or document access

Verified installs: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

Accès agent

L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.

Ouvrir l’API d’installation Format texte LLM Ouvrir Manifest Plan de résolution auto

Plus de détails

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Pour le créateur

Source de la fiche

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Créateur: nexu-io
Source: nexu-io/open-design
Indexé par: Index communautaire OpenAgentSkill

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Revendication du propriétaire

Revendiquer cette fiche de skill

Cette fiche Indexé par Registry est attribuée à nexu-io, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

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Affichez la fiche canonique, les signaux actuels de confiance et d’audit, ainsi que de vraies preuves Agent-Proven là où les développeurs évaluent le dépôt.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/nexu-io-audio-jingle?metric=listed&label=Listed)](https://www.openagentskill.com/skills/nexu-io-audio-jingle?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/nexu-io-audio-jingle?metric=trust&label=Trust)](https://www.openagentskill.com/skills/nexu-io-audio-jingle?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/nexu-io-audio-jingle?metric=audit&label=Audit)](https://www.openagentskill.com/skills/nexu-io-audio-jingle/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/nexu-io-audio-jingle?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/nexu-io-audio-jingle?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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Indiquez si ce skill semble utile à votre workflow Agent. Les retours agrégés améliorent le classement au fil du temps.