ads-generate
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.
Best use case
ads-generate is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using ads-generate should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ads-generate/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ads-generate Compares
| Feature / Agent | ads-generate | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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.
## 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.
### 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 schemaRelated Skills
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ads-tiktok
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ads-dna
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ads-create
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