Control WaveTone 2.61 workflows through a JSON manifest and launch the real Windows WaveTone executable.
复制下面这句话,粘贴给 Claude Code、Codex、Cursor 等 AI 编程工具,它会读取安装说明并在你确认后完成安装。
请阅读 https://ai.atlankj.com/install/asset/gh-skills-ce484ce3c137 ,按照其中的说明把「cli-anything-wavetone」安装到你(当前 AI 工具)中。执行前先告诉我将运行的命令和写入的位置,等我确认。
查看 AI 将读取的安装说明正在读取 GitHub 原文…
内容来自 GitHub 原始文件,由原作者维护。在 GitHub 查看
Use this skill when an agent needs to prepare, inspect, and launch WaveTone 2.61 audio transcription workflows.
WAVETONE_EXE to wavetone.exe or WAVETONE_HOME to the extracted
WaveTone directory when the default portable path is not used.All commands support the top-level --json flag.
cli-anything-wavetone --json wavetone doctor
cli-anything-wavetone --json project new input.wav -o project.wt.json
cli-anything-wavetone --project project.wt.json --json audio probe
cli-anything-wavetone --project project.wt.json --json project set-tempo --bpm 120 --meter 4/4
cli-anything-wavetone --project project.wt.json --json project add-label chorus --time 64.0
cli-anything-wavetone --project project.wt.json --json wavetone launch
project: create manifests, set tempo, add labels, update intended analysis
settings, and attach a WFD saved from WaveTone.audio: probe audio metadata before opening it in WaveTone.wavetone: run doctor, list supported formats, or launch the real GUI.session: record lightweight event logs for multi-step agent workflows.defaults: show default analysis settings.The JSON project manifest is not a WaveTone WFD file. It is an agent-facing plan for the source audio, intended analysis settings, labels, and tempo metadata. Use WaveTone itself to perform analysis and save WFD/MIDI/text/WAVE outputs.
When running in automated checks, use:
cli-anything-wavetone --json wavetone launch input.wav --wait 1 --terminate
This confirms that the real backend can be started without leaving a persistent GUI process behind.