audio-cog

What This Skill Does

The audio-cog skill provides a professional-grade interface for AI-powered audio generation using the underlying CellCog engine. It enables users to synthesize natural-sounding speech, generate background music, and craft complex soundscapes directly through their AI agent. Designed for creators, developers, and product managers, this skill turns text into high-fidelity audio, supporting a wide range of use cases from professional voiceovers and audiobooks to IVR prompts and training modules.

Installation

To begin, ensure you have the CellCog skill installed and configured. Install audio-cog via the command line:

clawhub install openclaw/skills/skills/nitishgargiitd/audio-cog

Ensure your environment variables are configured as per the CellCog documentation, as this skill relies on the established SDK setup for API authentication.

Use Cases

Audio-cog is versatile, catering to both technical and creative industries. Use it for:

• Media Creation: Generate professional voiceovers for video production without needing a studio.
• E-Learning: Transform manuals and scripts into clear, instructional audio content.
• Marketing: Create energetic and dynamic audio snippets for advertisements.
• Well-being: Utilize soothing, gentle voice models for wellness apps and guided meditations.
• IVR & Telephony: Standardize brand voice across phone menu systems and customer support lines.

Example Prompts

1. "Generate a professional 30-second voiceover for our new product launch video using the cedar voice. Ensure the tone is authoritative and trustworthy."
2. "Create a calm and measured narration for a documentary segment on climate change. Use the echo voice."
3. "Compose a background music track that is upbeat and energetic, suitable for a 60-second social media advertisement about fitness."

Tips & Limitations

• Voice Selection: Choose your voice carefully based on the use case table. Using 'coral' for a serious legal announcement may not yield the expected brand outcome.
• Asynchronous Workflow: Use the provided quick pattern for fire-and-forget tasks. Do not attempt to poll the API manually, as the daemon process is designed to handle callbacks upon task completion.
• Prompt Engineering: Be specific about the desired pacing and emotional delivery in your prompt to get the best results from the underlying model. Complex technical jargon may require phonetically spelled prompts for perfect pronunciation.