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muapi-product-showcase-video — Claude Code skill: product showcase

Builds an ad-style shot of your product with ingredients flying around it, then animates the scene into a short video. Useful when you need a promo clip without a shoot.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-product-showcase-video -a claude-code
npx skills add SamurAIGPT/Generative-Media-Skills --skill product-showcase-video -a claude-code
Open on GitHub

What muapi-product-showcase-video does

The skill runs in two phases. First it takes your product photo and calls muapi image edit with the bytedance-seedream-v4.5-edit model to produce a dynamic ad image: the product sits in the middle, ingredients burst outward, the background uses your brand colors. You get the image for approval before anything else happens.

Once you approve it, muapi video from-image with the seedance-v1.5-pro-i2v-fast model animates the scene. Ingredients drift outward in slow motion, lighting shifts, the camera moves a little. The result is a video with a commercial feel.

Only one input is required: product_image, a clear photo of the product. Ingredient description and brand colors are optional — leave them out and the skill falls back to fresh ingredients and colors matched to the product. Everything runs through the muapi CLI, so set MUAPI_API_KEY or run muapi auth configure first. Without a key the first phase never fires.

What it helps with

  • turn a plain product photo into an ad-style hero image
  • animate a static product shot into a short video
  • get promo visuals without booking a studio shoot
  • match the background to brand colors automatically
  • keep the product centered while ingredients fly around it

Example prompts for the agent

  • Make a product showcase video from this photo of my product
  • Build a dynamic ad shot with berries flying around it, then animate it
  • Animate this product photo: ingredients bursting outward, brand colors in the background

How to install muapi-product-showcase-video

1Skills CLI (Vercel)

npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-product-showcase-video -a claude-code
npx skills add SamurAIGPT/Generative-Media-Skills --skill product-showcase-video -a claude-code

2Manually: put the files in place

~/.claude/skills/product-showcase-video/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/product-showcase-video/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about muapi-product-showcase-video

How do I install muapi-product-showcase-video in Claude?

Run npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-product-showcase-video -a claude-code. The skill lands in ~/.claude/skills/product-showcase-video/SKILL.md.

What does muapi-product-showcase-video do?

It generates a dynamic ad image with the product surrounded by ingredients, then animates that scene into a video. Both phases go through the muapi CLI.

What do I need before running it?

A product photo and a MUAPI_API_KEY. If the variable is unset, run muapi auth configure first.

Source text

SKILL.md · MIT
---
slug: muapi-product-showcase-video
name: muapi-product-showcase-video
version: "1.0.0"
description: Create a dynamic product showcase with explosive ingredient arrangements, followed by a realistic motion animation.
acceptLicenseTerms: true
---


# Product Showcase Video

**Create a dynamic product showcase with explosive ingredient arrangements, followed by a realistic motion animation.**

## Inputs

| Name | Type | Required | Default | Description |
|:---|:---|:---|:---|:---|
| `product_image` | image_url | yes | — | A clear photo of the product to be showcased. |
| `ingredients_description` | text | no | fresh and raw ingredients | Description of the ingredients to fly around the product. |
| `brand_colors` | text | no | matching brand colors | The primary colors to use for the background. |


## Steps

### Phase A — Dynamic Product Image Generation

If `{{product_image}}` is not provided, ask the user to upload a photo of their product.

Once the photo is available, submit the plan with ONE step to create the dynamic advertisement image:

1. **Dynamic Image Generation** — `muapi image edit` (model=`bytedance-seedream-v4.5-edit`):
   - Reference Image: `{{product_image}}`
   - Prompt: `Photograph this product in a dramatic modern scene accompanied by an explosive outward dynamic arrangement of {{ingredients_description}} flying around the product, signifying its freshness and nutritional value. Promo ad shot, without text, product is emphasized, with {{brand_colors}} as the background. High-quality commercial lighting, sharp detail, vibrant colors.`
   - Aspect ratio: 1:1 or 4:5

Present the generated dynamic image to the user for approval.

### Phase B — Realistic Motion Animation

Once the image is approved, submit the plan to animate the scene:

1. **Video Generation** — `muapi video from-image` (model=`seedance-v1.5-pro-i2v-fast`):
   - Reference Image: The dynamic image from Phase A.
   - Prompt: `Create a realistic motion animation of the scene. The ingredients fly outwards from the product in slow motion, with subtle lighting shifts and camera movement. Cinematic quality, smooth animation, professional product commercial vibe.`
   - Aspect ratio: 1:1 or 4:5

After generation, present the final product showcase video.

## Trigger Keywords

`product showcase video`, `dynamic product ad`, `ingredient explosion`, `fresh product animation`, `commercial video`


---

## 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.

© SamurAIGPT · MIT · SamurAIGPT/Generative-Media-Skills

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