muapi-storyboard
Generate N keyframes for a short story or scene sequence (image only, no video).
它会碰到什么
这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。
技能内容
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.
- 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.
- 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-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
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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