Winning Creative Variations

Find your top-performing ad creatives, analyze why they work, and generate variation prompts for Gemini image generation.

Your best ads already exist — this skill finds them, downloads them, visually analyzes each one using Claude's vision, and produces a variation matrix with ready-to-run Gemini image generation prompts. Stop guessing which concepts to iterate on.

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What it does

1. Scout Agent — Discovers your workspace and picks 2-3 active ad accounts with non-zero spend via Glued MCP.

1. Analyst Agent — Pulls the top 30 creatives by purchase count, filters to static images only (excludes video and carousel), takes the top 10, and downloads each image locally.

1. Strategist Agent — Reads each downloaded image using Claude's vision. Analyzes why each creative works across visual, copy, and format dimensions. Generates 5 variation angles per creative with detailed Gemini generation prompts.

1. Generator (optional) — Runs generate-variations.mjs to produce variation images via Gemini 3.1 Flash API. Requires explicit user confirmation before executing.

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Output

output/<YYYYMMDD_HHmmss>/
├── images/                    # Downloaded winning creatives

│   ├── creative_1.jpg

│   └── ...creative_10.jpg

├── variation_matrix.csv       # Full matrix with Gemini prompts

├── analysis_report.md         # Human-readable creative analysis

└── variations/                # Generated variations (after Phase 4)

    ├── creative_1_v1.png

    └── ...

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What the analysis actually looks like

Each winning creative gets analyzed across:

• Visual — Composition, color palette, focal point, imagery style
• Copy/Text — Headline hook, CTA, emotional trigger, value proposition
• Format — Aspect ratio, text-to-image ratio, branding placement

Each variation prompt includes style/mood/composition directives and references the original image for style transfer.

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What this replaces

Before	After
Manually checking Ads Manager for top performers	Automated top-10 by purchase count across accounts
"This ad is doing well" without knowing why	Structured analysis across visual, copy, and format dimensions
Briefing designers with vague "make more like this"	5 specific variation angles per creative with rationale
Writing Gemini/Midjourney prompts from scratch	Ready-to-run generation prompts in CSV format
Iterating on mediocre creatives	Data-driven selection of proven winners to iterate on
Hours of creative analysis meetings	Automated analysis report with actionable variation matrix

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Who this is for

• Performance marketers who want to systematically iterate on what's already working
• Creative teams who need specific variation briefs, not vague "make more like this"
• Media buyers looking to scale winning concepts across new angles
• Growth teams building creative testing pipelines grounded in performance data
• Solo founders who want agency-level creative analysis without the agency

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Requirements

Requirement	Details
Glued MCP	Connected Meta ad accounts with active spend
Claude Code	Runtime environment
Gemini API Key (optional)	GEMINI_API_KEY in .env — only needed for Phase 4 image generation. Get one at aistudio.google.com/apikey
Node.js (optional)	For running the generation script in Phase 4
curl	For downloading creative images (standard on macOS/Linux)

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Skill structure

winning-creative-variations/
├── SKILL.md                        # Skill definition with 4-phase workflow

├── references/

│   └── subagents.md                # Full prompts for Scout, Analyst, and Strategist agents

├── scripts/

│   └── generate-variations.mjs     # Gemini 3.1 Flash variation generation script

├── .env.example                    # Optional environment variables

└── README.md                       # This file

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How it works under the hood

Agent	Model	Job
Scout	Haiku	Discover workspace, pick 2-3 active ad accounts
Analyst	Sonnet	Pull top 30 creatives, filter to images, download top 10
Strategist	Sonnet	Visual analysis via Claude vision, variation angles, Gemini prompts
Generator	Node.js script	Gemini 3.1 Flash image generation (optional, requires confirmation)

Key technical details:

• Analyst filters by creative ID prefix (image::) to exclude video and carousel
• Top 10 selection uses purchase_count as primary sort, ROAS as tiebreaker
• Strategist uses Claude's native Read tool on images — zero-cost visual analysis
• Generation script processes CSV rows sequentially with rate limiting
• Phase 4 always requires explicit user confirmation before running

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For performance marketers who want to scale what's already winning, not start from scratch.