muapi-giant-product-showcase
Create a dramatic "Giant Product" visual where a regular item is showcased as a massive, building-sized object next to a person, then optionally animate the scene.
Install
npx skills add https://github.com/SamurAIGPT/Generative-Media-Skills/tree/main/library/motion/giant-product-showcase
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install samuraigpt-generative-media-skills@llmmart
git clone https://github.com/SamurAIGPT/Generative-Media-Skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole samuraigpt/generative-media-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Giant Product Showcase
Create a dramatic "Giant Product" visual where a regular item is showcased as a massive, building-sized object next to a person, then optionally animate the scene.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
product_image |
image_url | yes | — | A clear image of the product to be made giant. |
person_description |
text | no | a stylishly dressed man | Description of the person standing next to the giant product. |
Steps
Phase A — Giant Product Visualization
If {{product_image}} is not provided, ask the user to upload a photo of the product.
Once the photo is available, submit the plan with ONE step to create the giant product scene:
- Scene Generation —
muapi image edit(model=nano-banana-2-edit):- Reference Image:
{{product_image}} - Prompt:
A professional commercial photograph featuring a massive, giant-sized version of the product from the reference image. The product is the size of a person and is standing on a clean, modern floor. Next to the giant product, {{person_description}} is leaning against it or standing nearby, highlighting the enormous scale. High-end product photography, soft studio lighting, realistic reflections, 8k resolution. - Aspect ratio: 3:4 or 4:5
- Reference Image:
Present the generated giant product image to the user for approval.
Phase B — Animation (Optional)
After the image is generated, ask the user if they would like to animate the scene into a cinematic showcase video.
If requested, submit the plan with ONE step:
- Video Generation —
muapi video from-image(model=veo3.1-fast-image-to-video):- Reference Image: The giant product image from Phase A.
- Prompt:
Cinematic slow-motion camera movement around the giant product. The person next to it moves naturally, looking at the camera or adjusting their pose. Dynamic lighting, high-quality textures, professional commercial vibe. - Aspect ratio: 9:16 or 4:5
After generation, present the final product showcase video.
Trigger Keywords
giant product, massive object, product showcase, scale comparison, product animation
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.
Files (generative-media-skills)
-
SKILL.md 3 KB
--- slug: muapi-giant-product-showcase name: muapi-giant-product-showcase version: "1.0.0" description: Create a dramatic "Giant Product" visual where a regular item is showcased as a massive, building-sized object next to a person, then optionally animate the scene. acceptLicenseTerms: true --- # Giant Product Showcase **Create a dramatic "Giant Product" visual where a regular item is showcased as a massive, building-sized object next to a person, then optionally animate the scene.** ## Inputs | Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | `product_image` | image_url | yes | — | A clear image of the product to be made giant. | | `person_description` | text | no | a stylishly dressed man | Description of the person standing next to the giant product. | ## Steps ### Phase A — Giant Product Visualization If `{{product_image}}` is not provided, ask the user to upload a photo of the product. Once the photo is available, submit the plan with ONE step to create the giant product scene: 1. **Scene Generation** — `muapi image edit` (model=`nano-banana-2-edit`): - Reference Image: `{{product_image}}` - Prompt: `A professional commercial photograph featuring a massive, giant-sized version of the product from the reference image. The product is the size of a person and is standing on a clean, modern floor. Next to the giant product, {{person_description}} is leaning against it or standing nearby, highlighting the enormous scale. High-end product photography, soft studio lighting, realistic reflections, 8k resolution.` - Aspect ratio: 3:4 or 4:5 Present the generated giant product image to the user for approval. ### Phase B — Animation (Optional) After the image is generated, ask the user if they would like to animate the scene into a cinematic showcase video. If requested, submit the plan with ONE step: 1. **Video Generation** — `muapi video from-image` (model=`veo3.1-fast-image-to-video`): - Reference Image: The giant product image from Phase A. - Prompt: `Cinematic slow-motion camera movement around the giant product. The person next to it moves naturally, looking at the camera or adjusting their pose. Dynamic lighting, high-quality textures, professional commercial vibe.` - Aspect ratio: 9:16 or 4:5 After generation, present the final product showcase video. ## Trigger Keywords `giant product`, `massive object`, `product showcase`, `scale comparison`, `product animation` --- ## 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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