AugmentClaude
MITVideo

AI Music Video Maker

By SamurAIGPT· SamurAIGPT/Generative-Media-Skills· 0

Build a short AI music video from a song theme — keyframes, animation, and matching music. Needs a MuAPI key.

Installation

  1. Make sure Claude is on your device and in your terminal.

    Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

    One-time setup
    npm i -g @anthropic-ai/claude-code

    Already have it? Skip ahead.

  2. Paste into Claude Code or into your terminal.
    Install
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    This copies the whole skill folder into ~/.claude/skills/muapi-music-video-samuraigpt/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

    Faster alternative (instruction-only skills)

    Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

    Quick install (SKILL.md only)
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  3. Restart Claude Code.

    Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

  4. Just ask Claude.

    Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

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

What this skill does

Music Video

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

Inputs

NameTypeRequiredDefaultDescription
themetextyes—Song / video theme (e.g. "lonely robot finds a friend, hopeful").
scenesintno3Number of scenes (each becomes a 5s clip).
music_styletextnoambient cinematic, instrumental, slow tempo, warmSuno-style tags for the soundtrack.
visual_styletextnocinematic, photoreal, soft volumetric light, 16:9

Steps

Build one the plan covering:

  1. 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.
  2. 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.
  3. 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.

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.

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