audio-editorPerform audio editing tasks including trimming, volume adjustment, format conversion, and extracting audio from video files using natural language commands.
Install via ClawdBot CLI:
clawdbot install jwl1992/audio-editorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
Podcast creators can use this skill to edit raw audio recordings, adjust volume levels, and convert formats for distribution. It simplifies tasks like trimming silences, normalizing sound, and extracting audio from video interviews.
Video editors can extract audio from video files to isolate soundtracks or voiceovers for separate editing. This aids in syncing audio with visuals, converting formats for different platforms, and enhancing overall production quality.
Educators and e-learning platforms can process lecture recordings by clipping segments, adjusting audio clarity, and converting files for online courses. It supports creating accessible audio versions from video materials.
Businesses can edit customer call recordings for training purposes, such as removing sensitive information or normalizing volume. This helps in creating clear, consistent audio samples for quality assurance and staff development.
Musicians and hobbyists can perform basic audio edits like cutting tracks, adjusting levels, and converting file formats for sharing or streaming. It provides a quick tool for demos or remixes without advanced software.
Offer basic audio editing features for free with usage limits, then charge for advanced capabilities like batch processing or high-quality exports. This attracts individual users and small businesses, generating revenue from premium subscriptions.
License the skill to companies in media, education, or customer service for embedding into their platforms. Provide custom support and API access, earning revenue through licensing fees and maintenance contracts.
Deploy the skill as an API where users pay based on the number of audio processing tasks performed, such as edits or extractions. This model suits developers and enterprises needing scalable, on-demand audio solutions.
💬 Integration Tip
Ensure ffmpeg is installed and accessible in the system path; test with sample audio files to verify command accuracy before full deployment.
Scored Apr 19, 2026
Local speech-to-text with the Whisper CLI (no API key).
Transcribe audio files with speaker diarization (who speaks when). Supports 100+ languages, automatic language detection, and timestamps. Use for meetings, interviews, podcasts, or voice messages. Requires AssemblyAI API key.
Search and manage Spotify playlists, tracks, albums, artists, and playback state via the Spotify Web API. Use this skill when users want to search for music,...
使用 poocr 库识别发票并导出 Excel。当用户需要识别增值税发票、批量处理发票文件或提取发票信息到 Excel 时调用此技能。
Transcribe long audio files safely on 16GB RAM machines using auto-chunking with Whisper’s base model and seamless transcript merging.
Use when the user has audio or video and wants a timestamped transcript (SRT) in the source language. Routes by source language — Chinese defaults to Volcano...