muapi-music-video - SKILL.md Agent Skill

slug: muapi-music-video name: muapi-music-video version: "1.0.0" description: Build a short music video from a song theme — N keyframes, animate each, generate matching music. acceptLicenseTerms: true

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

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

Build one the plan covering:

Layer A (parallel) — N keyframes + 1 music track all at once.
- For each scene 1..N: muapi image generate with a beat-specific prompt + {{visual_style}}, model=nano-banana-pro (these feed video gen).
- One muapi audio create (kind=music) using {{music_style}}, duration = N × 5 + a 2s tail.
Layer B (parallel, depends on Layer A) — animate each keyframe.
- For each scene: muapi video from-image with image=$nX.url, model=veo3.1-image-to-video, duration=5, prompt=scene-specific motion direction.
Return:
- The scene keyframes (asset ids in order).
- The animation clips (asset ids in order).
- The music track asset id.
- A short summary describing the cut order.

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.

music video, mv, video story, song visualization

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.