Tencent SkillHub · Productivity

Ad-Ready Pro

Generate professional advertising images from product URLs using the Ad-Ready pipeline on ComfyDeploy. Use when the user wants to create ads for any product by providing a URL, optionally with a brand profile (70+ brands) and funnel stage targeting. Supports model/talent integration, brand-aware creative direction, and multi-format output. Differs from Morpheus (manual fashion photography) — Ad-Ready is URL-driven, brand-intelligent, and funnel-stage aware.

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, scripts/generate.py

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: PauldeLavallaz
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 22 sections Open source page

Ad-Ready: AI Advertising Image Generator

Generate professional advertising images from product URLs using a 4-phase AI pipeline on ComfyDeploy.

⚠️ CRITICAL: Required Inputs Checklist

Before running ANY ad generation, the agent MUST ensure ALL of these are provided: InputRequired?How to Get It--product-url✅ ALWAYSUser provides the product page URL--product-image✅ ALWAYSDownload from the product page, or user provides--logo✅ ALWAYSDownload from brand website or search online. MUST be an image file--reference✅ RECOMMENDEDAn existing ad whose style we want to clone. Search online or use previously generated images--brand-profile✅ NEVER EMPTYPick from catalog or run brand-analyzer first. NEVER leave as "No Brand" if a brand is known--prompt-profile✅ ALWAYSChoose based on campaign objective--aspect-ratioDefault: 4:5Change if needed for platform--modelOptionalModel/talent face from catalog or user-provided

🚨 NEVER Skip These Steps:

Product image — Download the main product photo from the product URL. The scraper is fragile; always provide a product image explicitly. Brand logo — Download the logo from the brand's official website or search for "{brand name} logo" online. Must be a clean logo image (PNG preferred). Brand profile — If the brand doesn't exist in the catalog, run brand-analyzer skill FIRST to generate one. Never submit with "No Brand" when a brand is known. Reference image — Search for an existing ad or visual with a style that matches what we're generating. Can be from previously generated images, the brand's campaigns, or found online. This dramatically improves output quality.

Auto-Preparation Workflow

When the user asks to generate an ad, follow this workflow: 1. User provides: product URL + brand name + objective 2. CHECK brand profile exists: → ls ~/clawd/ad-ready/configs/Brands/ | grep -i "{brand}" → If not found: run brand-analyzer skill first 3. DOWNLOAD product image: → Visit the product URL in browser or fetch the page → Find and download the main product image → Save to /tmp/ad-ready-product.jpg 4. DOWNLOAD brand logo: → Search "{brand name} logo PNG" or fetch from brand website → Download clean logo image → Save to /tmp/ad-ready-logo.png 5. FIND reference image: → Search for "{brand name} advertisement" or similar → Or use a previously generated ad that has the right style → Save to /tmp/ad-ready-reference.jpg 6. SELECT prompt profile based on objective: → Awareness: brand discovery, first impressions → Interest: engagement, curiosity → Consideration: comparison, features → Evaluation: deep dive, decision support → Conversion: purchase intent, CTAs (most common) → Retention: re-engagement → Loyalty: brand advocates → Advocacy: referral, community 7. RUN the generation with ALL inputs filled

Full command (recommended):

COMFY_DEPLOY_API_KEY="$KEY" uv run ~/.clawdbot/skills/ad-ready/scripts/generate.py \ --product-url "https://shop.example.com/product" \ --product-image "/tmp/product-photo.jpg" \ --logo "/tmp/brand-logo.png" \ --reference "/tmp/reference-ad.jpg" \ --model "models-catalog/catalog/images/model_15.jpg" \ --brand-profile "Nike" \ --prompt-profile "Master_prompt_05_Conversion" \ --aspect-ratio "4:5" \ --output "ad-output.png"

Auto-fetch mode (downloads product image and logo automatically):

COMFY_DEPLOY_API_KEY="$KEY" uv run ~/.clawdbot/skills/ad-ready/scripts/generate.py \ --product-url "https://shop.example.com/product" \ --brand-profile "Nike" \ --prompt-profile "Master_prompt_05_Conversion" \ --auto-fetch \ --output "ad-output.png" The --auto-fetch flag will: Download the main product image from the product URL Search and download the brand logo Both get uploaded to ComfyDeploy automatically

API Details

Endpoint: https://api.comfydeploy.com/api/run/deployment/queue Deployment ID: e37318e6-ef21-4aab-bc90-8fb29624cd15

ComfyDeploy Input Variables

These are the exact variable names the ComfyDeploy deployment expects: VariableTypeDescriptionproduct_urlstringProduct page URL to scrapeproductoimage URLProduct image (uploaded to ComfyDeploy)modelimage URLModel/talent face referencereferenciaimage URLStyle reference ad imagemarcaimage URLBrand logo imagebrand_profileenumBrand name from catalogprompt_profileenumFunnel stage promptaspect_ratioenumOutput format

Phase 1: Product Scraping

Gemini Flash visits the product URL Extracts: title, description, features, price, images ⚠️ Image scraping is the most fragile part — always provide product images manually

Phase 2: Campaign Brief Generation (CRITICAL)

Uses Brand Identity JSON + Product Data → 10-point brief Everything downstream depends on brief quality Brief covers: strategic objective, central message, visual tone, product role, photographer, art direction, environment, textures, signature

Phase 3: Blueprint Generation

Master Prompt (per funnel stage) + Brief + Product JSON + Keyword Bank + Format Gemini Flash generates complete Blueprint JSON Covers: scene, production, graphic design, lighting, composition, materials, CTA

Phase 4: Image Generation

Nano Banana Pro (Imagen 3.0) generates the final image Uses Blueprint JSON + all reference images (product, talent, logo, style ref)

Supporting Reference Nodes

pose_ref → enforce a specific pose (replicated exactly) photo_style_ref → replicate photographic style (⚠️ can be too literal, being optimized) location_ref → replicate location and color palette

Existing catalog (70+ brands):

ls ~/clawd/ad-ready/configs/Brands/*.json | sed 's/.*\///' | sed 's/\.json//'

Creating new brand profiles:

Use the brand-analyzer skill: GEMINI_API_KEY="$KEY" uv run ~/.clawdbot/skills/brand-analyzer/scripts/analyze.py \ --brand "Brand Name" --auto-save This generates a full Brand Identity JSON and saves it to the catalog automatically.

Prompt Profiles (Funnel Stages)

ProfileStageBest ForMaster_prompt_01_AwarenessAwarenessBrand discovery, first impressionsMaster_prompt_02_InterestInterestEngagement, curiosityMaster_prompt_03_ConsiderationConsiderationComparison, featuresMaster_prompt_04_EvaluationEvaluationDeep dive, decision supportMaster_prompt_05_ConversionConversionPurchase intent, CTAsMaster_prompt_06_RetentionRetentionRe-engagement, loyaltyMaster_prompt_07_LoyaltyLoyaltyBrand advocatesMaster_prompt_08_AdvocacyAdvocacyReferral, community How to choose: Most ads → Conversion (purchase intent) New product launches → Awareness Retargeting → Consideration or Evaluation Existing customers → Retention or Loyalty

Aspect Ratios

RatioUse Case4:5Default. Instagram feed, Facebook9:16Stories, Reels, TikTok1:1Square posts16:9YouTube, landscape banners5:4Alternative landscape

Model Catalog

Models for talent/face reference: ~/clawd/models-catalog/catalog/ Priority: User-provided model > Catalog selection > No model (product-only ad)

Known Limitations

Product image scraping is fragile — always provide product images manually when possible photo_style_ref can be too literal — the style reference may be replicated too closely Some websites block scraping — Armani works well, others may return incorrect data Auto 4-Format is alpha — bugs and edge cases exist Gemini hallucinations — occasional issues in complex reasoning steps

Ad-Ready vs Morpheus

FeatureAd-ReadyMorpheusInputProduct URL (auto-scrapes)Manual product imageBrand intelligence70+ brand profilesNoneFunnel targeting8 funnel stagesNoneCreative directionAuto-generated from briefPack-based (camera, lens, etc.)Best forProduct advertising campaignsFashion/lifestyle editorial photographyControl levelHigh-level (objective-driven)Granular (every visual parameter)

Source Repository

GitHub: https://github.com/PauldeLavallaz/ads_SV Local clone: ~/clawd/ad-ready/ Patreon docs: https://www.patreon.com/posts/from-product-to-149933468

API Key

Uses ComfyDeploy API key. Set via COMFY_DEPLOY_API_KEY environment variable.

Category context

Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

1 Docs1 Scripts

SKILL.md Primary doc
scripts/generate.py Scripts