Jump to related tools in the same category or review the original source on GitHub.

Marketing & Sales @pauldelavallaz Updated 2/26/2026

Ad Ready OpenClaw Skill - ClawHub

Do you want your AI agent to automate Ad Ready workflows? This free skill from ClawHub helps with marketing & sales tasks without building custom tools from scratch.

What this skill does

Generate advertising images automatically from a product URL + brand profile. ✅ USE WHEN: - User provides a product URL (e-commerce link) - Want automated product scraping + image generation - Have a brand profile to apply (70+ brands available) - Need funnel-stage targeting (awareness/consideration/conversion) - Want AI to auto-select model, scene, lighting based on brand ❌ DON'T USE WHEN: - User provides local product image file → use morpheus-fashion-design - Don't need a person in the image → use nano-banana-pro - Want manual control over model, scene, packs → use morpheus-fashion-design - Already have hero image, need variations → use multishot-ugc - Need video output → use veed-ugc after image generation INPUT: Product URL + brand name (optional) + funnel stage (optional) OUTPUT: PNG advertising image with product + model

Install

npx clawhub@latest install ad-ready

Full SKILL.md

Open original
namedescription
ad-readyGenerate advertising images automatically from a product URL + brand profile. ✅ USE WHEN: - User provides a product URL (e-commerce link) - Want automated product scraping + image generation - Have a brand profile to apply (70+ brands available) - Need funnel-stage targeting (awareness/consideration/conversion) - Want AI to auto-select model, scene, lighting based on brand ❌ DON'T USE WHEN: - User provides local product image file → use morpheus-fashion-design - Don't need a person in the image → use nano-banana-pro - Want manual control over model, scene, packs → use morpheus-fashion-design - Already have hero image, need variations → use multishot-ugc - Need video output → use veed-ugc after image generation INPUT: Product URL + brand name (optional) + funnel stage (optional) OUTPUT: PNG advertising image with product + model

Ad-Ready: AI Advertising Image Generator

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

Source: github.com/PauldeLavallaz/ads_SV


Pipeline Architecture

The pipeline runs as a ComfyUI custom node deployed on ComfyDeploy. A single ProductToAds_Manual node executes 4 phases internally:

┌─────────────────────────────────────────────────────────────┐
│                  ProductToAds_Manual Node                     │
│                                                             │
│  PHASE 1: Product Scraping (Gemini Flash)                   │
│  ─────────────────────────────────────────                   │
│  Scrapes product URL → extracts title, description,         │
│  features, price, materials, image URLs                      │
│  Also scrapes HTML for high-res product images (≥1000px)    │
│                                                             │
│  PHASE 2: Campaign Brief Generation (Gemini Flash)          │
│  ────────────────────────────────────────────────            │
│  Brand Identity + Product Data + References →                │
│  10-point Campaign Brief (creative direction)                │
│                                                             │
│  PHASE 3: Blueprint Generation (Gemini Flash)               │
│  ──────────────────────────────────────────────              │
│  Master Prompt (funnel stage) + Brief + Keywords →           │
│  Production-Ready JSON Blueprint                             │
│                                                             │
│  PHASE 4: Image Generation (Nano Banana Pro / Imagen 3)     │
│  ──────────────────────────────────────────────────          │
│  Blueprint + all reference images → final ad image           │
│                                                             │
└─────────────────────────────────────────────────────────────┘

Phase 2: Campaign Brief (The Creative Brain)

The Brief Generator is the most critical intermediate step. It acts as a "Senior Art Director" that translates raw data into actionable creative direction using a 10-point framework:

  1. Strategic Objective — Why this campaign exists (awareness/positioning/launch)
  2. Central Message — One idea perceivable without text
  3. Visual Tone of Voice — Register: calm/energetic/intimate/monumental
  4. Product Role — Hero vs co-protagonist vs implicit presence
  5. Visual Language & Brand Coherence — Non-negotiable brand codes
  6. Photographer & Equipment — Photography as concept, not execution
  7. Extended Art Direction — Styling, casting, poses, hair/makeup, layout
  8. Environment & Context — Where and why (conceptual, never decorative)
  9. Texture, Material & Product Render — How surfaces are perceived
  10. Final Image Signature — Finish, grain, temporal positioning

Without the brief, the Master Prompt must guess creative strategy. With it, the Master Prompt only executes.

The brief prompt template is included at {baseDir}/configs/Brief_Generator/brief_prompt.json.

Phase 3: Master Prompts (8 Funnel Stages)

Each funnel stage has a specialized Master Prompt that generates a production-ready JSON Blueprint. All share the same internal simulation:

  • ROUND -1: Brand Identity Forensics (stages 03+) — Unified Brand Style Manifest
  • ROUND 0: Fidelity Lock — Product geometry & talent identity are IMMUTABLE
  • ROUND 1: Stage Strategy — Strategic approach specific to funnel position
  • ROUND 2: Graphic Design — UI, typography, CTA engineering

The Blueprint JSON covers: scene production, talent lock, camera perspective, subject action/pose/wardrobe, lighting, product constraints, layout architecture, typography, CTA engineering, and brand asset placement.

Master prompt files are included at {baseDir}/configs/Product_to_Ads/.

Reference Analyzer

Reference images (referencia) are optional and off by default. The pipeline generates creative direction internally from Brand Identity + Campaign Brief. Only use a reference when the user explicitly asks to clone a specific ad's style.

When used, the reference is analyzed for pose, photographic style, and location cues.


⚠️ CRITICAL: Required Inputs Checklist

Before running ANY ad generation, ensure these are provided:

Input Required? How to Get It
--product-url ✅ ALWAYS User provides the product page URL
--product-image ✅ ALWAYS Download from the product page, or user provides
--brand-profile ✅ NEVER EMPTY Pick from catalog or run brand-analyzer first. NEVER leave as "No Brand" if a brand is known
--prompt-profile ✅ ALWAYS Choose based on campaign objective
--aspect-ratio Default: 4:5 Change if needed for platform
--model 🔶 OPTIONAL Model/talent face. Ads with talent perform much better. Empty = product-only ad (no person). When used, pick from ~/clawd/models-catalog/catalog/images/ (114 models available)
--logo 🔶 OPTIONAL Try to find it. Use if good quality & easy to get. Skip if low-res or hard to find. Empty = bypassed
--reference 🔶 OPTIONAL (off) Only when user explicitly asks to clone a reference ad. Empty = bypassed
--creative-brief 🔶 ON-DEMAND Only when user gives explicit creative direction. Omit to let pipeline auto-generate from brand profile
--language 🔶 ON-DEMAND Only when user requests a specific language. Omit to use default (es)

🚨 NEVER Skip These Steps:

  1. Product image — Download the main product photo from the product URL. The scraper is fragile; always provide a product image explicitly.
  2. 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.
  3. Brand logo — TRY to find it (Clearbit, logo.dev, brand website). Use if good quality. If not found or low-res, skip it — the variable accepts empty string (bypassed server-side).
  4. Reference — Do NOT search for references by default. Only provide when the user explicitly asks to clone a specific ad or says "find a good ad to clone".

Auto-Preparation Workflow

When the user asks to generate an ad:

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 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. SELECT prompt profile based on objective:
   → 🎨 Morfeo_Creative: DEFAULT — cinematic, narrative-rich, slightly surreal. Best visuals.
   → Awareness: brand discovery, dynamic scenes, world-building, scroll-stoppers
   → Interest: sustained attention, micro-world hinting at use-case
   → Consideration: feature communication, proof cues, informative
   → Evaluation: trust, authority, reviews, certifications
   → Conversion: ⚠️ MINIMAL by design — clean, CTA-dominant, white backgrounds
   → Retention: post-purchase confidence, onboarding
   → Loyalty: editorial, lifestyle, emotional bond
   → Advocacy: share-worthy, community, belonging

   DEFAULT SELECTION LOGIC:
   - Generic "generate an ad" → Morfeo_Creative (09)
   - "awareness" / "brand discovery" → Awareness (01)
   - "conversion" / "buy now" / CTA-focused → Conversion (05)
   - "creative" / "original" / "surreal" → Morfeo_Creative (09)
   - "lifestyle" / "editorial" → Loyalty (07)
   - When in doubt → Morfeo_Creative (09), NOT Conversion

5b. SELECT MODEL (optional):
   → If user wants a person in the ad: pick from ~/clawd/models-catalog/catalog/images/model_XX.jpg (114 available)
   → If user wants product-only ad (no person): leave --model empty
   → If user doesn't specify: ASK if they want a model or product-only
   → Catalog preview: catalog.json at ~/clawd/models-catalog/catalog/catalog.json

6. RUN the generation with ALL inputs filled

Usage

Full command (recommended):

COMFY_DEPLOY_API_KEY="$KEY" uv run {baseDir}/scripts/generate.py \
  --product-url "https://shop.example.com/product" \
  --product-image "/tmp/product-photo.jpg" \
  --logo "/tmp/brand-logo.png" \
  --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"

With reference (only when explicitly requested):

COMFY_DEPLOY_API_KEY="$KEY" uv run {baseDir}/scripts/generate.py \
  --product-url "https://shop.example.com/product" \
  --product-image "/tmp/product-photo.jpg" \
  --reference "/tmp/reference-ad.jpg" \
  --brand-profile "Nike" \
  --prompt-profile "Master_prompt_01_Awareness" \
  --output "ad-output.png"

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

COMFY_DEPLOY_API_KEY="$KEY" uv run {baseDir}/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"

List available brands:

uv run {baseDir}/scripts/generate.py --list-brands

API Details

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

ComfyDeploy Input Variables

Variable Type Description
product_url string Product page URL to scrape
producto image URL Product image (uploaded to ComfyDeploy)
model image URL Model/talent face reference. OPTIONAL — empty = product-only ad without a person. When used, select from models catalog (~/clawd/models-catalog/catalog/images/model_XX.jpg, 114 available)
referencia image URL Style reference ad — OPTIONAL, empty = bypassed. Only when user asks to clone a reference
marca image URL Brand logo — OPTIONAL, empty = bypassed. Use if found easily in good quality
brand_profile enum Brand name from catalog (70+ brands)
prompt_profile enum Funnel stage master prompt
aspect_ratio enum Output format (1:1, 4:5, 5:4, 9:16, etc.)
language string ON-DEMAND ONLY. Output language for ad copy/CTA. Default: es. Only send when the user explicitly requests a different language. Otherwise, DO NOT include this parameter — let the pipeline use its default.
creative_brief string ON-DEMAND ONLY. Free-text creative direction override. Only use when the user explicitly asks for a specific creative direction, scene, mood, or concept. Otherwise, DO NOT include this parameter — let the pipeline generate its own brief from the Brand Identity profile automatically.

Funnel Stages — Strategic Detail

01 — Awareness

Goal: Scroll-stop, curiosity, brand introduction Reject: Generic "product on table" concepts Strategy: Dynamic camera angles, world-building environments, high-concept creativity CTA: Soft or optional Visual Hierarchy: Talent → Product → Optional CTA

02 — Interest

Goal: Sustained attention, introduce value proposition Reject: Abstract visuals that hide the product Strategy: One clear visual idea, believable micro-world hinting at use-case CTA: Learn More, Discover, See Details Visual Hierarchy: Talent → Product → Headline → CTA

03 — Consideration

Goal: Informed evaluation, reduce uncertainty Reject: Pure mood storytelling, vague emotional content Strategy: Communicate WHAT product does, ONE primary differentiator, ONE proof cue CTA: Compare, See Details, Explore Visual Hierarchy: Talent → Product → Key Benefit → Proof Cue → CTA New: Adds Brand Identity Manifest to Blueprint JSON

04 — Evaluation

Goal: Validate purchase decision, proof & trust Reject: Pure mood, unsupportable claims, visual clutter Strategy: One trust anchor (quality/legitimacy/authority), one proof cue (reviews/certification) CTA: See Reviews, Verified Quality, Learn More Visual Hierarchy: Trust Anchor → Proof Cue → Product → Talent → CTA

05 — Conversion

Goal: Trigger decisive action, remove friction Reject: New hesitation-inducing info, complex compositions Strategy: One hero (product), one action, optional micro-reassurance CTA: Buy Now, Get Yours, Complete Order (PRIMARY visual element) Visual Hierarchy: Product → CTA → Optional Reassurance → Brand → Talent

06 — Retention

Goal: Post-purchase confidence, reduce churn Reject: Hard-sell, urgency, price talk Strategy: "You made the right choice" + "Here is the next step" CTA: Start, Set Up, Learn, Track (guidance, not purchase) Visual Hierarchy: Confirmation → Next Step → Product → Talent

07 — Loyalty

Goal: Strengthen emotional bond over time Reject: Sales layouts, instructional tone, aggressive CTAs Strategy: "This brand is part of who you are" — habitual engagement CTA: Optional: Explore, Be Part Of, Continue Visual Hierarchy: Brand World/Mood → Talent (identity mirror) → Product → Brand

08 — Advocacy

Goal: Turn customers into voluntary brand ambassadors Reject: Sales language, instructional tone, forced testimonials Strategy: Signal belonging, create share-worthy imagery, enable organic sharing CTA: Optional or absent: Join the Movement, Part of Us Visual Hierarchy: Mood → Talent (identity proxy) → Product (symbol) → Brand

09 — Morfeo Creative 🎨 (DEFAULT)

Goal: Maximum visual impact, narrative-rich, cinematic quality Reject: White backgrounds, studio shots, "product on table", generic poses, sterile compositions Strategy: Build immersive WORLDS, not backgrounds. Talent is a CHARACTER with emotion and action. Subtle surreal/magical elements elevate the mundane. Think movie stills + magical realism + high fashion. CTA: Present but integrated into scene aesthetics Visual Hierarchy: Scene → Talent (as character) → Product (organic in scene) → CTA Creative Philosophy:

  • NEVER a white background or studio
  • Every image has depth (foreground/midground/background layers)
  • Lighting is narrative (golden hour, practicals, colored atmosphere)
  • One subtle surreal element per scene (impossible beauty, dream-logic detail)
  • Wardrobe is costume design, not "simple clothes"
  • Camera has personality (specific film stocks, intentional imperfections)

Creating New Ad Types

To create a new funnel stage or specialized ad type:

  1. Copy the closest existing Master Prompt from {baseDir}/configs/Product_to_Ads/
  2. Redefine ROUND 1 with the new strategic objective
  3. Adjust ROUND 2 UI hierarchy accordingly
  4. Shift talent/product narrative roles
  5. Modify CTA philosophy and copy voice
  6. Keep the JSON output structure identical for pipeline compatibility
  7. Maintain the Fidelity Lock (ROUND 0) — product and talent are always immutable
  8. Save as Master_prompt_XX_NewStage.json — the node auto-discovers new profiles

Key Evolution Pattern Across Stages:

Aspect Early (01-02) Mid (03-05) Late (06-08) Morfeo (09)
Talent role Attention anchor Credibility anchor Identity mirror Character in story
Product role Secondary hero Evaluation hero Familiar symbol Organic in world
CTA Soft/exploratory Proof-led → Decisive Guidance → Optional Integrated/aesthetic
Copy voice Intriguing Clarity, proof, action Supportive → Proud Evocative/poetic
Visual density High-concept Structured, scannable Editorial, spacious Cinematic/layered
Environment World-building Context-rich Lifestyle Immersive + surreal
Environment World-building Context-rich Lifestyle, intimate

Image Input Types

Binding Images (strict fidelity — immutable)

  • talent: Face/body locked, no deviation in facial structure, ethnicity, proportions
  • product_1-4: Shape, label text, material, proportions preserved 1:1
  • brand_logo: UI/button style derived from logo geometry

Soft References (optional, off by default)

Reference image input (referencia) is optional. When provided, it's analyzed for:

  • POSE_REF → Body position, limbs, weight, gaze, micro-gestures
  • PHOTO_STYLE_REF → Camera, lens, lighting, grading, grain
  • LOCATION_REF → Setting, materials, colors, mood

When empty (default), creative direction comes from Brand Identity + Campaign Brief alone.


Brand Profiles

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

The Brand Analyzer uses a 3-phase methodology:

  1. Phase 1: Official research via Google Search (canonical data: name, founding, positioning, vision, mission, tagline)
  2. Phase 1.1: Independent campaign research (10+ distinct campaigns via Google Images/Pinterest)
  3. Phase 2-3: Visual analysis → JSON profile following the standard template

Output covers: brand_info, brand_values, target_audience, tone_of_voice, visual_identity, photography, campaign_guidelines, brand_behavior, channel_expression, compliance.


Aspect Ratios

Ratio Use Case
4:5 Default. Instagram feed, Facebook
9:16 Stories, Reels, TikTok
1:1 Square posts
16:9 YouTube, landscape banners
5:4 Alternative landscape
2:3 Pinterest
3:4 Portrait

Config Files Reference

The skill includes reference copies of all pipeline configuration files:

{baseDir}/configs/
├── Brief_Generator/
│   └── brief_prompt.json              # 10-point campaign brief framework
├── Product_to_Ads/
│   ├── Master_prompt_01_Awareness.json
│   ├── Master_prompt_02_Interest.json
│   ├── Master_prompt_03_Consideration.json
│   ├── Master_prompt_04_Evaluation.json
│   ├── Master_prompt_05_Conversion.json
│   ├── Master_prompt_06_Retention.json
│   ├── Master_prompt_07_Loyalty.json
│   ├── Master_prompt_08_Advocacy.json
│   └── Master_prompt_09_Morfeo_Creative.json  # 🎨 DEFAULT — cinematic, surreal, narrative
└── Reference_Analyzer/
    └── reference_analysis_prompt.txt   # Pose/style/location analysis prompt

These configs are the canonical reference for the pipeline's behavior. The actual live configs are stored in the ComfyUI deployment at ads_SV/configs/.


Known Limitations

  1. Product image scraping is fragile — always provide product images manually
  2. Some websites block scraping — provide product data manually when scraping fails
  3. Gemini hallucinations — occasional issues in complex reasoning steps
  4. No brief editing — brief is generated automatically; manual override not yet supported
  5. Logo & reference are optional — both use server-side bypass; empty string = not used. Logo: use if good quality. Reference: only on explicit request

Ad-Ready vs Morpheus

Feature Ad-Ready Morpheus
Input Product URL (auto-scrapes) Manual product image
Brand intelligence 70+ brand profiles None
Funnel targeting 8 funnel stages None
Brief generation Auto (10-point creative direction) None
Creative direction Objective-driven (brief → blueprint) Pack-based (camera, lens, lighting)
Best for Product advertising campaigns Fashion/lifestyle editorial photography
Control level High-level (strategy-first) Granular (every visual parameter)

API Key

Uses ComfyDeploy API key. Set via COMFY_DEPLOY_API_KEY environment variable.

Source Repository

  • GitHub: PauldeLavallaz/ads_SV
  • Architecture: ComfyUI custom node package with 3 nodes:
    • ProductToAds_Manual — Full manual control, single format
    • ProductToAds_Auto — Auto-downloads images, generates 4 formats
    • BrandIdentityAnalyzer — Analyzes brands via Gemini + Google Search
Original URL: https://github.com/openclaw/skills/blob/main/skills/pauldelavallaz/ad-ready

Related skills

If this matches your use case, these are close alternatives in the same category.