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muapi-music-video

@samuraigpt · 收录于 1 周前 · 上游提交 3 周前

Build a short music video from a song theme — N keyframes, animate each, generate matching music.

适合你,如果想快速把歌曲主题变成带动画和配乐的短视频

/ 下载安装
muapi-music-video.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add samuraigpt/generative-media-skills/muapi-music-video
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- samuraigpt/generative-media-skills/muapi-music-video
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify samuraigpt/generative-media-skills/muapi-music-video
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 a1c4c98 · 表述以原文为准
它做什么

Claude 会根据你提供的歌曲主题,自动生成一组关键帧画面、对应的动画片段和一段匹配的音乐,最终组合成一部短音乐视频。

什么时候触发

当你提到“音乐视频”、“MV”、“视频故事”或“歌曲可视化”等关键词,并给出歌曲主题时触发。

装好后可以这样说
Claude 会询问场景数、音乐风格等细节,然后生成视频。
指定了视觉风格和场景数,Claude 会按此生成。
技能原文 SKILL.md作者撰写 · MIT · a1c4c98

Music Video

Build a short music video from a song theme — N keyframes, animate each, generate matching music.

Inputs

| Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | theme | text | yes | — | Song / video theme (e.g. "lonely robot finds a friend, hopeful"). | | scenes | int | no | 3 | Number of scenes (each becomes a 5s clip). | | music_style | text | no | ambient cinematic, instrumental, slow tempo, warm | Suno-style tags for the soundtrack. | | visual_style | text | no | cinematic, photoreal, soft volumetric light, 16:9 | |

Steps

Build one the plan covering:

  1. Layer A (parallel) — N keyframes + 1 music track all at once.
  2. For each scene 1..N: muapi image generate with a beat-specific prompt + {{visual_style}}, model=nano-banana-pro (these feed video gen).
  3. One muapi audio create (kind=music) using {{music_style}}, duration = N × 5 + a 2s tail.
  4. Layer B (parallel, depends on Layer A) — animate each keyframe.
  5. For each scene: muapi video from-image with image=$nX.url, model=veo3.1-image-to-video, duration=5, prompt=scene-specific motion direction.
  6. Return:
  7. The scene keyframes (asset ids in order).
  8. The animation clips (asset ids in order).
  9. The music track asset id.
  10. A short summary describing the cut order.
Notes
  • Keep character continuity by repeating the character description in every scene prompt verbatim.
  • Don't auto-confirm any single video call > 50 cr — those need the user's nod (the loop will prompt automatically).
  • If a scene's muapi video from-image fails after failover, fall back to muapi video generate (text-to-video) for that scene only.
Trigger Keywords

music video, mv, video story, song visualization


Notes for the Executing Agent
  • This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.
  • For model IDs without a CLI alias yet, fall back to the raw endpoint via curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.
  • Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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