audio-mastering-cliCLI audio mastering without a reference track using ffmpeg; accepts audio or video inputs and outputs mastered WAV/MP3 or remuxed MP4.
Install via ClawdBot CLI:
clawdbot install alesys/audio-mastering-cliGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/alesys/openclaw-skill-audio-mastering-cliAudited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Independent podcasters can use this skill to master raw audio recordings into polished, broadcast-ready files without needing expensive software or reference tracks. It ensures consistent loudness and clarity across episodes, saving time in post-production.
YouTubers and video editors can remaster audio tracks within video files to improve sound quality for tutorials, vlogs, or short films. The tool preserves original video while enhancing audio with compression and limiting for better viewer engagement.
Amateur musicians and bands can master demo tracks from home recordings to achieve a more professional sound for sharing online or with labels. The CLI process applies EQ and loudness normalization suitable for streaming platforms.
Libraries or archivists can process old audio or video files to enhance clarity and standardize levels for digital preservation. The skill handles various formats and outputs mastered WAV files suitable for long-term storage.
Offer the basic skill for free to attract users, then charge for advanced features like batch processing, custom presets, or cloud integration. Revenue comes from subscriptions or one-time purchases for premium versions.
Integrate this skill into existing audio editing platforms or SaaS tools as an add-on module. Charge licensing fees to software companies or take a commission per use within their ecosystems.
Provide tailored mastering services or custom script modifications for studios or enterprises. Offer support, training, and bespoke adjustments to fit specific workflow needs, generating income from service contracts.
💬 Integration Tip
Ensure ffmpeg and PowerShell are installed and accessible in the system PATH to avoid execution errors during audio processing.
Scored Apr 19, 2026
Local speech-to-text with the Whisper CLI (no API key).
ElevenLabs text-to-speech with mac-style say UX.
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Text-to-speech conversion using node-edge-tts npm package for generating audio from text. Supports multiple voices, languages, speed adjustment, pitch control, and subtitle generation. Use when: (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS output.
Local text-to-speech via sherpa-onnx (offline, no cloud)
Start voice calls via the OpenClaw voice-call plugin.