--- name: ads-generate description: "AI image generation for paid ad creatives. Reads campaign-brief.md and brand-profile.json to produce platform-sized ad images using banana-claude. Requires banana-claude (v1.4.1+) with nanobanana-mcp configured. Triggers on: generate ads, create images, make ad creatives, generate visuals, create ad images, generate campaign images, make the images, generate from brief." user-invokable: false tested_date: 2026-05-17 tested_with: claude-code v2.x --- # Ads Generate: AI Ad Image Generator Generates platform-sized ad creative images from your campaign brief and brand profile. Uses banana-claude as the image generation provider. ## Quick Reference | Command | What it does | |---------|-------------| | `/ads generate` | Generate all images from campaign-brief.md | | `/ads generate --platform meta` | Generate Meta assets only | | `/ads generate --prompt "text" --ratio 9:16` | Standalone generation without brief | ## Environment Setup **Required before running:** - Requires banana-claude (v1.4.1+) with nanobanana-mcp configured - Run `/banana setup` to configure API key and MCP - Fallback: if banana is not available, use `scripts/generate_image.py` (deprecated) If banana-claude is not installed, this skill will display setup instructions and stop. It will never fail silently. If banana-claude is unavailable, alternatives include: OpenAI gpt-image-1 ($0.040/image), Stability SD 3.5 ($0.065), or Replicate FLUX.1 Pro ($0.055). Configure via ADS_IMAGE_PROVIDER env var. ## Process ### Step 1: Verify banana-claude Verify banana-claude is installed (run `/banana setup` to check). If not installed, display setup instructions and exit. ### 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: Prepare banana Configuration Create banana brand preset from brand-profile.json if one does not already exist at `~/.banana/presets/{brand-slug}.json`. Select banana domain mode based on campaign brief content: - **Product**: e-commerce, packshots - **Editorial**: brand awareness, lifestyle - **Cinema**: video thumbnails, dramatic - **UI/Web**: app install, SaaS - **Portrait**: testimonials, people ### Step 6: Spawn Visual Designer Agent Spawn the `visual-designer` agent using the Task tool with `context: fork`, passing the selected domain mode and preset name. The agent will: - Parse the image generation briefs from campaign-brief.md - Inject brand colors and mood from brand-profile.json - Use banana-claude with the configured domain mode for each asset - Save to `./ad-assets/[platform]/[concept]/` directory structure - Write `generation-manifest.json` ### Step 7: 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 8: Quality Gate Use Claude vision to assess each generated image against the brief (score 1 to 10 on brand alignment, composition, platform fit). If any image scores below 6, regenerate once with an adjusted prompt. Quality Gate Rubric: - 9-10: Professional quality, brand-aligned, platform-optimized, no issues - 7-8: Good quality, minor composition or brand alignment improvements possible - 5-6: Acceptable but needs regeneration. Text readability issues, poor composition, or brand mismatch - Below 5: Reject. Regenerate with adjusted prompt ### Step 9: Aggregate Costs Read banana cost data from `~/.banana/costs.json` and include total creative spend in generation-manifest.json. ### Step 10: 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: $[N] total creative spend (from ~/.banana/costs.json) 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 - Show estimated cost based on banana pricing tiers - 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) ``` Use `/banana generate` directly with the specified prompt and aspect ratio. ## 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