nexu-io/open-design
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.
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/audio-jingle"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
Three sub-modes. The active project's audioKind decides which one runs:
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/audio-jingle"The pinned source supports a structured brief, but not an expanded tutorial. Only detected inputs, outputs, and sections are shown.
475 source words · 8 usable sections
Design process
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
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).
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).
Music - Genre + reference artists (1-2) - Tempo (BPM) + key - Instrumentation (3-5 instruments max) - Vocals: yes / no / hummed / choir - Mood arc (intro → chorus → outro)
Use the format the upstream model prefers. Bind audioDuration to the API parameter directly; never put "make it 30 seconds" in prose.
Design checklist
The source section “Workflow” has been checked.
The source section “Step 0 — Read the project metadata” has been checked.
The source section “Step 1 — Plan” has been checked.
The source section “Step 2 — Compose the prompt” has been checked.
Static permission evidence
These are source excerpts matched by deterministic rules, not findings of malicious behavior, safety, or actual execution.
Choose a different workflow
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
A separate implementation from event4u-app/agent-config; compare its source, maintenance signals, and permission requirements.
Open source detailDistributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailMedicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
Three sub-modes. The active project's audioKind decides which one runs:
The source record exposes this install command: npx skills add https://github.com/nexu-io/open-design --skill "design-templates/audio-jingle". Inspect the command and pinned source before running it.
Static rules flagged write-files in the source; the page lists the matching lines and excerpts.
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
Medicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.
Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.
Use when the user wants to generate an image or video via Higgsfield AI. Covers 30+ models: Soul V2, Seedance 2.0, Kling 3.0, Veo 3.1, GPT Image 2, Nano Banana 2. Also covers Marketing Studio — branded ad video/image with avatars and products. Use whenever: "generate an image", "make a video", "animate this photo", "image-to-video", "img2vid", "edit this image with AI", "produce a clip", "create an ad", "make a UGC video", "marketing video", "brand video", "TV spot", "import product from URL", "
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 |
audio-jingle/
├── SKILL.md
└── example.html
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.
Music
Speech
voice_id, not prose in --voiceSFX
State the plan in 2-3 sentences before dispatching.
Use the format the upstream model prefers. Bind audioDuration to the
API parameter directly; never put "make it 30 seconds" in prose.
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.
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").
--voice. Use a real
MiniMax voice_id (for example male-qn-qingse) or omit the flag
and let the daemon's default voice apply.