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SKILL verified MIT Self-run

Muapi Giant Product Showcase

skill-samuraigpt-generative-media-skills-giant-product-showcase · by SamurAIGPT

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.

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Install

$ agentstack add skill-samuraigpt-generative-media-skills-giant-product-showcase

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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 Generationmuapi 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 Generationmuapi 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/ -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait .
  • Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.