Generate jingles, voiceovers, and sound effects as MP3/WAV files.
npx skills add https://github.com/az9713/open-design-tutorial --skill audio-jingle-az9713
Please help me install this Agent Skill. Skill: audio-jingle Source: https://github.com/az9713/open-design-tutorial/tree/main/skills/audio-jingle Command: npx skills add https://github.com/az9713/open-design-tutorial --skill audio-jingle-az9713
Automates the creation of short audio assets—jingles, beds, voiceovers, and sound effects—for marketing and media projects, saving time and standardizing tone across campaigns.
Create a 30-second coffee-shop jingle with a warm piano lead and a loop-friendly tail.
High-intent search queries and answers about installing and using this skill.
AI audio jingles and voiceovers are generated by routing your text prompts to specialized AI providers for music, speech, and sound effects. The Skill processes your request and outputs a single MP3 or WAV file saved directly to your project folder for quick deployment.
Yes, you can create sound effects and music beds for podcasts using Suno V5, Udio, Lyria for music, and ElevenLabs for speech and SFX. The system routes your specific audio request to the appropriate provider to generate the required audio asset.
The best way to automate text to speech and SFX generation is using an example-driven workflow that plans and dispatches audio tasks with provider-specific constraints. This standardizes tone across multimedia campaigns and automatically saves the final MP3 or WAV file locally.
Yes, this AI audio generation tool supports both MiniMax TTS and FishAudio for generating voiceovers, along with ElevenLabs V3. It routes your speech requests to these specific providers based on your project requirements to deliver the final audio output.
To create a 30-second coffee-shop jingle with a loop-friendly tail, you provide an example-driven prompt specifying the duration, instrument lead like warm piano, and structural requirements. The Skill then composes and dispatches the task to a music generation provider.
Limitations of using AI generated audio beds include adherence to provider-specific constraints during prompt composition and dependency on the routing logic for music, speech, or SFX generation. Outputs are standardized as single MP3 or WAV files saved to your project directory.
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