Skills generate-product-promo-banner
Optimize a product photo and compose it into a promotional banner with sale text and pricing.
install
source · Clone the upstream repo
git clone https://github.com/iterationlayer/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/iterationlayer/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/generate-product-promo-banner" ~/.claude/skills/iterationlayer-skills-generate-product-promo-banner && rm -rf "$T"
manifest:
skills/generate-product-promo-banner/SKILL.mdsource content
Generate Product Promo Banner
E-commerce teams use this pipeline to create promotional banners from raw product photos. Optimize the product image for web, then composite it onto a banner with sale messaging and pricing — ready for ads, email campaigns, or social media.
APIs Used
Image Transformation (1 credits/request), Image Generation (2 credits/request)
Prerequisites
You need an Iteration Layer API key. Get one at platform.iterationlayer.com — free trial credits included, no credit card required.
For full integration guidance (SDKs, auth, MCP, error handling), see the Iteration Layer Integration Guide.
Implementation
# Step 1: Optimize product photo TRANSFORM_RESULT=$(curl -s -X POST \ https://api.iterationlayer.com/image-transformation/v1/transform \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "file": { "type": "url", "name": "product-photo.jpg", "url": "https://example.com/products/raw-photo.jpg" }, "operations": [ { "type": "resize", "width_in_px": 1000, "height_in_px": 1000, "fit": "contain" }, { "type": "auto_contrast" }, { "type": "sharpen", "sigma": 1.5, }, { "type": "convert", "format": "webp", "quality": 90 } ] }') PRODUCT_IMAGE_BASE64=$(echo "$TRANSFORM_RESULT" | jq -r '.data.buffer') # Step 2: Generate promotional banner with optimized product photo curl -X POST \ https://api.iterationlayer.com/image-generation/v1/generate \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d "{ \"dimensions\": { \"width\": 1200, \"height\": 628 }, \"output_format\": \"png\", \"layers\": [ { \"index\": 0, \"type\": \"solid-color\", \"hex_color\": \"#1a1a2e\" }, { \"index\": 1, \"type\": \"static-image\", \"buffer\": \"$PRODUCT_IMAGE_BASE64\", \"position\": { \"x\": 600.0, \"y\": 64.0 }, \"dimensions\": { \"width\": 500, \"height\": 500 } }, { \"index\": 2, \"type\": \"text\", \"text\": \"Flash Sale\", \"font_name\": \"Montserrat\", \"font_size_in_px\": 56, \"text_color\": \"#FFFFFF\", \"font_weight\": \"bold\", \"position\": { \"x\": 60.0, \"y\": 180.0 }, \"dimensions\": { \"width\": 500, \"height\": 80 } }, { \"index\": 3, \"type\": \"text\", \"text\": \"Save 25%\", \"font_name\": \"Montserrat\", \"font_size_in_px\": 36, \"text_color\": \"#E94560\", \"font_weight\": \"bold\", \"position\": { \"x\": 60.0, \"y\": 280.0 }, \"dimensions\": { \"width\": 500, \"height\": 60 } } ] }"
import { IterationLayer } from "iterationlayer"; const client = new IterationLayer({ apiKey: "YOUR_API_KEY" }); // Step 1: Optimize product photo const transformResult = await client.transform({ file: { type: "url", name: "product-photo.jpg", url: "https://example.com/products/raw-photo.jpg", }, operations: [ { type: "resize", width_in_px: 1000, height_in_px: 1000, fit: "contain", }, { type: "auto_contrast" }, { type: "sharpen", sigma: 1.5, }, { type: "convert", format: "webp", quality: 90, }, ], }); const productImageBase64 = transformResult.data.buffer; // Step 2: Generate promotional banner with optimized product photo const bannerResult = await client.generateImage({ dimensions: { width_in_px: 1200, height_in_px: 628, }, output_format: "png", layers: [ { index: 0, type: "solid-color", hex_color: "#1a1a2e", }, { index: 1, type: "image", buffer: productImageBase64, position: { x_in_px: 600.0, y_in_px: 64.0, }, dimensions: { width_in_px: 500, height_in_px: 500, }, }, { index: 2, type: "text", text: "Flash Sale", font_name: "Montserrat", font_size_in_px: 56, text_color: "#FFFFFF", font_weight: "bold", position: { x_in_px: 60.0, y_in_px: 180.0, }, dimensions: { width_in_px: 500, height_in_px: 80, }, }, { index: 3, type: "text", text: "Save 25%", font_name: "Montserrat", font_size_in_px: 36, text_color: "#E94560", font_weight: "bold", position: { x_in_px: 60.0, y_in_px: 280.0, }, dimensions: { width_in_px: 500, height_in_px: 60, }, }, ], });
from iterationlayer import IterationLayer client = IterationLayer(api_key="YOUR_API_KEY") # Step 1: Optimize product photo transform_result = client.transform( file={ "type": "url", "name": "product-photo.jpg", "url": "https://example.com/products/raw-photo.jpg", }, operations=[ { "type": "resize", "width_in_px": 1000, "height_in_px": 1000, "fit": "contain", }, {"type": "auto_contrast"}, { "type": "sharpen", "sigma": 1.5, }, { "type": "convert", "format": "webp", "quality": 90, }, ], ) product_image_base64 = transform_result["data"]["buffer"] # Step 2: Generate promotional banner with optimized product photo banner_result = client.generate_image( dimensions={ "width_in_px": 1200, "height_in_px": 628, }, output_format="png", layers=[ { "index": 0, "type": "solid-color", "hex_color": "#1a1a2e", }, { "index": 1, "type": "image", "buffer": product_image_base64, "position": { "x_in_px": 600.0, "y_in_px": 64.0, }, "dimensions": { "width_in_px": 500, "height_in_px": 500, }, }, { "index": 2, "type": "text", "text": "Flash Sale", "font_name": "Montserrat", "font_size_in_px": 56, "text_color": "#FFFFFF", "font_weight": "bold", "position": { "x_in_px": 60.0, "y_in_px": 180.0, }, "dimensions": { "width_in_px": 500, "height_in_px": 80, }, }, { "index": 3, "type": "text", "text": "Save 25%", "font_name": "Montserrat", "font_size_in_px": 36, "text_color": "#E94560", "font_weight": "bold", "position": { "x_in_px": 60.0, "y_in_px": 280.0, }, "dimensions": { "width_in_px": 500, "height_in_px": 60, }, }, ], )
package main import il "github.com/iterationlayer/sdk-go" func main() { client := il.NewClient("YOUR_API_KEY") // Step 1: Optimize product photo transformResult, err := client.Transform(il.TransformRequest{ File: il.NewFileFromURL( "product-photo.jpg", "https://example.com/products/raw-photo.jpg", ), Operations: []il.TransformOperation{ il.NewResizeOperation(1000, 1000, "contain"), {Type: "auto_contrast"}, il.NewSharpenOperation(1.5), il.NewConvertOperation("webp"), }, }) if err != nil { panic(err) } // Step 2: Generate promotional banner with optimized product photo bannerResult, err := client.GenerateImage( il.GenerateImageRequest{ Dimensions: il.Dimensions{ WidthInPx: 1200, HeightInPx: 628, }, OutputFormat: "png", Layers: []il.Layer{ il.NewSolidColorBackgroundLayer(0, "#1a1a2e"), il.NewStaticImageLayer( 1, transformResult.Data.Buffer, il.Position{ XInPx: 600.0, YInPx: 64.0, }, il.Dimensions{ WidthInPx: 500, HeightInPx: 500, }, ), il.NewTextLayer( 2, "Flash Sale", "Montserrat", 56, "#FFFFFF", il.Position{ XInPx: 60.0, YInPx: 180.0, }, il.Dimensions{ WidthInPx: 500, HeightInPx: 80, }, ), il.NewTextLayer( 3, "Save 25%", "Montserrat", 36, "#E94560", il.Position{ XInPx: 60.0, YInPx: 280.0, }, il.Dimensions{ WidthInPx: 500, HeightInPx: 60, }, ), }, }, ) if err != nil { panic(err) } }
{ "name": "Generate Product Promo Banner", "nodes": [ { "parameters": { "content": "## Generate Product Promo Banner\n\nE-commerce teams use this pipeline to create promotional banners from raw product photos. Optimize the product image for web, then composite it onto a banner with sale messaging and pricing \u2014 ready for ads, email campaigns, or social media.\n\n**Note:** This workflow uses the Iteration Layer community node (`n8n-nodes-iterationlayer`). Install it via Settings > Community Nodes before importing. Self-hosted n8n only.", "height_in_px": 280, "width_in_px": 500, "color": 2 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 200, 40 ], "id": "165c6cae-c517-466c-b457-017d41ef255f", "name": "Overview" }, { "parameters": { "content": "### Step 1: Generate Image\nResource: **Image Generation**\n\nConfigure the Image Generation parameters below, then connect your credentials.", "height_in_px": 160, "width_in_px": 300, "color": 6 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 475, 100 ], "id": "d0e30702-3236-4d5b-b6db-58943e78c2e7", "name": "Step 1 Note" }, { "parameters": {}, "type": "n8n-nodes-base.manualTrigger", "typeVersion": 1, "position": [ 250, 300 ], "id": "8c932661-770b-4c6d-b9af-e11756428109", "name": "Manual Trigger" }, { "parameters": { "resource": "imageGeneration", "widthInPx": 1200, "heightInPx": 630, "outputFormat": "png", "layersJson": "[]", "fontsJson": "[]" }, "type": "n8n-nodes-iterationlayer.iterationLayer", "typeVersion": 1, "position": [ 500, 300 ], "id": "c8fc1270-b021-4063-a9f2-c926a0b9e623", "name": "Generate Image", "credentials": { "iterationLayerApi": { "id": "1", "name": "Iteration Layer API" } } } ], "connections": { "Manual Trigger": { "main": [ [ { "node": "Generate Image", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" } }
Optimize a product photo and compose it into a promotional banner. First, use transform_image to resize and optimize [product image URL] for web. Then, use generate_image to create a banner with these layers: 1. Background: gradient layer with [brand colors] 2. Product photo: image layer with the optimized product image 3. Sale text: text layer with [sale message] in large bold text 4. Price: text layer with [price] and [original price] strikethrough
Response
{ "success": true, "data": { "buffer": "iVBORw0KGgoAAAANSUhEUgAA...", "mime_type": "image/png" } }