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audio-jingle

Audio generation skill — jingles, beds, voiceover, and sound effects.

Skill by galyarderlabs

IndexedApache-2.0★ 8
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/galyarderlabs-audio-jingle

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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.

Use cases: design

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/audio-jingle

What's inside

Skill 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.
License
Apache-2.0
Instructions
102 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • example.html

SKILL.md (first lines)

# 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:

```bash
"$GD_NODE_BIN" "$GD_BIN" media generate \
  --project "$GD_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.

From galyarderlabs/galyarder-design, Apache-2.0.

More from galyarderlabs/galyarder-design

Signals

Stars
8
Forks
1
Open issues
2
Last commit (this folder)
May 31, 2026 (5 months ago)
Last release
May 31, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

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audio-jingle skill. Agent Mart. https://agentmart.dev/skills/galyarderlabs-audio-jingle (last updated 2026-10-24)