AgentStack
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.

No reviews yet
0 installs
8 views
0.0% view→install

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.

Are you the author of Muapi Giant Product Showcase? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

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

No reviews yet — be the first.

Versions

  • v0.1.0 Imported from the upstream source.