audio-cogAI audio generation and text-to-speech powered by CellCog. Voiceover, narration, voice cloning, avatar voices, sound effects, music, podcasts, dialogue. Thre...
Install via ClawdBot CLI:
clawdbot install nitishgargiitd/audio-cogGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 1, 2026
Educational platforms can use the skill to generate clear, instructional voiceovers for training modules and audiobook-style narrations for courses. This automates audio production for scalable online learning materials.
Podcasters and media companies can create professional intros, jingles, and background music to enhance audio content. The royalty-free music generation supports monetized streaming without licensing issues.
Businesses can generate high-energy voiceovers for ads, product videos, and announcements using voices like cedar or coral. This speeds up campaign production with AI-driven audio assets.
Developers can create ambient soundtracks, background music, and voice prompts for apps and games. The skill supports custom durations and moods, ideal for immersive user experiences.
Companies can produce professional phone menu prompts and instructional voiceovers for internal training. This reduces costs by automating audio for customer service and employee onboarding.
Offer a subscription-based platform where users generate voiceovers and music for videos, podcasts, and ads. Revenue comes from tiered plans based on usage limits and premium features.
Freelancers or agencies use the skill to provide quick, low-cost audio creation services for clients in marketing, education, or entertainment. Charge per project or hourly for custom audio outputs.
Build a marketplace where creators sell AI-generated audio assets like background music or voiceovers. Take a commission on sales, leveraging the royalty-free licensing to attract buyers.
💬 Integration Tip
Install the cellcog dependency first and use chat_mode='agent' for efficient audio generation without polling.
Scored Apr 15, 2026
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Local speech-to-text with the Whisper CLI (no API key).
ElevenLabs text-to-speech with mac-style say UX.
Local text-to-speech via sherpa-onnx (offline, no cloud)
Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "User talked via voice recognition on <device>").
Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.