ads-generate

Original：🇺🇸 English

Translated

AI image generation for paid ad creatives. Reads campaign-brief.md and brand-profile.json to produce platform-sized ad images using Gemini (default) or a configured provider. Requires GOOGLE_API_KEY or ADS_IMAGE_PROVIDER + matching key. Triggers on: "generate ads", "create images", "make ad creatives", "generate visuals", "create ad images", "generate campaign images", "make the images", "generate from brief".

3installs

Sourceagricidaniel/claude-ads

Added on2026-03-14

NPX Install

npx skill4agent add agricidaniel/claude-ads ads-generate

SKILL.md Content

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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

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
`/ads generate --batch`	Use Gemini Batch API (50% cost, 24h turnaround)

Environment Setup

Required before running:

bash

# 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:

bash

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:

Generation prompt (what should the image show?)
Target platform (to set correct dimensions)
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:

bash

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

ads-generate

NPX Install

Tags

SKILL.md Content

Ads Generate — AI Ad Image Generator

Quick Reference

Environment Setup

Process

Step 1: Check API Key

Step 2: Locate Source Files

Step 2b: Standalone Mode

Step 3: Read Provider Config

Step 4: Read Platform Specs

Step 5: Spawn Visual Designer Agent

Step 6: Validate with Format Adapter

Step 7: Report Results

Cost Transparency

Standalone Mode (No campaign-brief.md)

Reference Files