About muapi-storyboard
muapi-storyboard is an LLM-orchestrated skill for turning a one-line premise into a sequence of image keyframes. It is suited to creating visual story plans, with parallel generation and continuity across scenes.
Key features
- 01Premise-to-story-beat breakdown
- 02Parallel keyframe image generation
- 03Character and setting continuity
- 04Ordered asset IDs with captions
Use cases
- 01Drafting a short story as visual scenes
- 02Planning a sequence of reference images
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ samuraigpt/ muapi-skills --skill muapi-storyboardAfter installing, type/muapi-storyboardin Claude Code to confirm it loaded.
Details
From the project READMEStoryboard Generator
Generate N keyframes for a short story or scene sequence (image only, no video).
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
premise | text | yes | — | One-line story premise (e.g. "lonely robot finds a tiny mechanical bird friend"). |
scenes | int | no | 6 | Number of keyframes to produce. |
style | text | no | cinematic, photoreal, soft lighting, 16:9 | Visual style tags applied to every keyframe. |
Steps
Use the plan to dispatch all N keyframes in a single parallel layer.
- Decompose
premiseinto{{scenes}}story beats with a clear arc: setup → inciting moment → escalation → climax → resolution.- Each beat gets a one-paragraph visual description.
- Maintain character / object continuity across beats (same character appearance, same world).
- For each beat, create a
muapi image generatenode (model=nano-banana-2, aspect_ratio=16:9):- Prompt =
"<beat description>. {{style}}". - Tier: balanced (these are reference keyframes, not finals).
- Aspect ratio: 16:9.
- Prompt =
- Run the plan in parallel (no
depends_onbetween keyframes). - Return the asset ids in beat order with a one-line caption per scene.
Notes
- Don't animate, upscale, or add audio — this skill is keyframes only.
If the user wants video, suggest the
music-videoskill afterward. - For consistency, repeat character description verbatim in every prompt ("a small rusty humanoid robot with…") rather than relying on the model to remember.
Trigger Keywords
storyboard, keyframes, scene sequence, story panels
Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis 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 withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.
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