How do I install the Muapi Storyboard skill?

Run npx skillmds@latest add samuraigpt/muapi-storyboard in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Muapi Storyboard skill do?

Generate a sequence of keyframe images from a story premise using the MuAPI image generation service. It is listed under AI & ML, Coding & Dev Tools, Design & Media, Image & Video Generation on SkillMD.

Is Muapi Storyboard safe to use?

SkillMD's automated safety review verdict for this skill is CAUTION. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Muapi Storyboard?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Muapi Storyboard free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Muapi Storyboard?

SamurAIGPT (@samuraigpt) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Muapi Storyboard by samuraigpt — Agent Skill

Name: Muapi Storyboard
Rating: 4.2 (5 reviews)
Author: SamurAIGPT

File contents

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 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).
For each beat, create a muapi image generate node (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_on between 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 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.

---name: muapi-storyboarddescription: Generate a sequence of keyframe images from a story premise using the MuAPI image generation service.---# 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. |## StepsUse 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, aspect_ratio=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 `depends_on` 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 `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.

Frequently asked questions

Muapi Storyboard