Tapanshah Ads Audit Claude Ads Generate

Ads Generate — AI Ad Image Generator

Generates platform-sized ad creative images from your campaign brief and brand profile. Uses Gemini by default (gemini-2.5-flash-image, stable GA).

Quick Reference

Environment Setup

Required before running:

# Gemini (default — recommended)
export GOOGLE_API_KEY="your-key"
# Get a key: console.cloud.google.com/apis/credentials

# Switch to a different provider (optional)
export ADS_IMAGE_PROVIDER="openai"
export OPENAI_API_KEY="your-key"

export ADS_IMAGE_PROVIDER="stability"
export STABILITY_API_KEY="your-key"

export ADS_IMAGE_PROVIDER="replicate"
export REPLICATE_API_TOKEN="your-token"

If the API key is not set, this skill will display the setup instructions above and stop. It will never fail silently.

Process

Step 1: Check API Key

Verify the required environment variable is set before proceeding:

python3 -c "
import os, sys
provider = os.environ.get('ADS_IMAGE_PROVIDER', 'gemini')
keys = {'gemini': 'GOOGLE_API_KEY', 'openai': 'OPENAI_API_KEY',
        'stability': 'STABILITY_API_KEY', 'replicate': 'REPLICATE_API_TOKEN'}
env_var = keys.get(provider, 'GOOGLE_API_KEY')
if not os.environ.get(env_var):
    print(f'Error: {env_var} not set (provider: {provider})', file=sys.stderr)
    sys.exit(1)
print(f'OK: {env_var} is set')
"

If this exits with code 1, display the Environment Setup section above and stop.

Step 2: Locate Source Files

Check for:

• campaign-brief.md → primary source for prompts and dimensions
• brand-profile.json → brand color/style injection (optional but recommended)

If campaign-brief.md is found: Use ## Image Generation Briefs section as the generation job list.

If no campaign-brief.md: Enter standalone mode (Step 2b).

Step 2b: Standalone Mode

Ask the user:

1. Generation prompt (what should the image show?)
2. Target platform (to set correct dimensions)
3. Output filename (optional)

Then skip to Step 5.

Step 3: Read Provider Config

Load ~/.claude/skills/ads/references/image-providers.md to confirm:

• Active provider pricing (show user the cost estimate)
• Rate limits for current tier
• Batch API availability

Step 4: Read Platform Specs

For each platform in the campaign brief, load the relevant spec reference:

• ~/.claude/skills/ads/references/meta-creative-specs.md
• ~/.claude/skills/ads/references/google-creative-specs.md
• ~/.claude/skills/ads/references/tiktok-creative-specs.md
• ~/.claude/skills/ads/references/linkedin-creative-specs.md
• ~/.claude/skills/ads/references/youtube-creative-specs.md
• ~/.claude/skills/ads/references/microsoft-creative-specs.md

Step 5: Spawn Visual Designer Agent

Spawn the visual-designer agent using the Task tool with context: fork.

The agent will:

• Parse the image generation briefs from campaign-brief.md
• Inject brand colors and mood from brand-profile.json
• Call generate_image.py for each asset
• Save to ./ad-assets/[platform]/[concept]/ directory structure
• Write generation-manifest.json

Step 6: Validate with Format Adapter

After the visual-designer completes, spawn the format-adapter agent with context: fork to validate dimensions and report missing formats.

Step 7: Report Results

Present a summary:

Generation complete:

  Generated assets:
    ✓ ./ad-assets/meta/concept-1/feed-1080x1350.png
    ✓ ./ad-assets/tiktok/concept-1/vertical-1080x1920.png
    ✗ ./ad-assets/google/concept-1/landscape-1200x628.png [error reason]

  Format validation: See format-report.md

  Cost estimate: ~$[N] at $0.067/image (Gemini 1K)

  Next steps:
    1. Review assets in ./ad-assets/
    2. Check format-report.md for any missing formats
    3. Upload to your ad platform managers

Cost Transparency

Before generating, estimate and show the cost:

• Count the number of image briefs in campaign-brief.md
• Multiply by $0.067 (Gemini default 1K)
• Show: "Estimated cost: [N] images × $0.067 = ~$[total]"
• If >$1.00, ask for confirmation before proceeding

Standalone Mode (No campaign-brief.md)

When running without a campaign brief:

Platform target → dimensions used:
  meta-feed     → 1080×1350 (4:5)
  meta-reels    → 1080×1920 (9:16)
  tiktok        → 1080×1920 (9:16)
  google-pmax   → 1200×628 (1.91:1)
  linkedin      → 1080×1080 (1:1)
  youtube       → 1280×720 (16:9)
  youtube-short → 1080×1920 (9:16)

Calls generate_image.py directly:

python ~/.claude/skills/ads/scripts/generate_image.py \
  "[user prompt]" \
  --size [WxH] \
  --output [filename] \
  --json

Reference Files

• ~/.claude/skills/ads/references/image-providers.md — provider config, pricing, limits
• ~/.claude/skills/ads/references/[platform]-creative-specs.md — per-platform specs
• ~/.claude/skills/ads/references/brand-dna-template.md — brand injection schema

Source: tapanshah/Ads-audit-Claude — distributed by TomeVault.