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-music-stems-f73d2729f46f ,按照其中的说明把「music-stems」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。
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Splits an already-generated production into vocals/drums/bass/other stems.
The user wants isolated stems from a track they've already generated (remixing, karaoke tracks, sampling). Needs an existing production id — run music-list first if you don't have one.
mcp__cogmusic__separate_stems({ id: "<production-id>" }). This is a real GPU job — it takes real time, similar order of magnitude to generation itself, and shares the same underlying inference service as create_production (see the reliability notes in music-generate's SKILL.md — a transient failure is worth one retry before concluding something's wrong).has_stems via mcp__cogmusic__get_production afterward, then point the user at the dashboard (music.cognitum.one) to actually listen — per ADR-0001, the current cogmusic MCP tool surface doesn't expose a stem-level audio_url the way the primary production audio has one (only the main track's URL is PAT-authorized today).