audio-tool音频处理工具 - 格式转换、剪辑、压缩、提取音频。适合:播客、音乐制作、视频剪辑。
Install via ClawdBot CLI:
clawdbot install yang1002378395-cmyk/audio-toolGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
Podcast creators can use this skill to convert raw audio recordings into MP3 format for distribution, trim unwanted sections, and merge intro/outro music. It simplifies post-production workflows for independent podcasters.
Video content creators on platforms like YouTube can extract background music from videos, adjust audio levels for clarity, and compress files to meet platform upload requirements. This enhances audio quality in tutorials or vlogs.
Libraries or archives can batch-convert historical audio recordings from WAV to compressed formats like FLAC for preservation, while clipping segments for digital exhibits. It aids in managing large audio collections efficiently.
Professional studios can extract high-quality audio from video footage for separate editing, merge multiple audio tracks for sound design, and apply noise reduction. This streamlines audio post-production in film or advertising projects.
Offer basic audio conversion and clipping for free, with premium features like batch processing, advanced compression, and priority support via subscription. This attracts hobbyists while monetizing professional users.
License the skill to companies in media, education, or tech for integration into their platforms, such as video editing software or e-learning tools. Provide custom support and updates for enterprise clients.
Expose core functions like format conversion or audio extraction via an API, charging per transaction based on file size or processing time. This targets developers and businesses needing scalable audio processing without infrastructure.
💬 Integration Tip
Ensure FFmpeg is installed and accessible in the system path; test with common audio formats like MP3 and WAV first to verify functionality.
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.