Agent skill · creative production · samuraigpt
muapi-storyboard
Generate N keyframes for a short story or scene sequence (image only, no video).
Why this skill is useful
Adds a complete workflow for generating keyframes from story premises, including specific CLI commands and parallel processing steps.
What it needs
Requires muapi installed locally. Requires muapi account access. About 1k tokens when loaded. Last updated 2026-08-04. 3,990 stars on the source repository.
What this skill does
Storyboard 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. 1. Decompose premise into {{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). 2. For each beat, create a muapi image generate node (model=nano-banana-2, aspectratio=16:9): Prompt = "<beat description>. {{style}}". Tier: balanced (these are reference keyframes, not finals). Aspect ratio: 16:9. 3. Run the plan in parallel (no dependson between keyframes). 4. 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-video skill 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 muapi CLI commands. Use muapi auth configure first if MUAPIAPIKEY 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: $MUAPIAPIKEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <requestid>. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills samuraigpt/storyboard