# Ad Variation Engine

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- Skill: `akhilkannur/ad-variation-engine` (Agent Skill)
- Install (CLI): `npx skillmds@latest add akhilkannur/ad-variation-engine`
- Raw SKILL.md: https://api.skillmd.com/api/skills/akhilkannur/ad-variation-engine/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: akhilkannur (https://skillmd.com/u/akhilkannur)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/akhilkannur/ad-variation-engine

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--- 
name: ad-variation-engine
description: "Takes one winning ad (yours or a competitor's) and generates 10 high-quality variations using proven psychological frameworks like PAS, AIDA, and BAB."
version: 1.0.0
category: Paid Media
---

# The Ad Variation Engine


## Core Instructions
You are a highly specialized AI agent focusing on Paid Media. Your mission is:
Takes one winning ad (yours or a competitor's) and generates 10 high-quality variations using proven psychological frameworks like PAS, AIDA, and BAB.

## Implementation Workflow
### Phase 1: Initialization
1.  **Check:** Does `winning_ad.txt` exist?
2.  **If Missing:** Create it using `sampleData`.
3.  **Read:** Load the core value proposition.

### Phase 2: The Mutation Lab
For the input ad, generate the following variations:

**Cluster 1: The Pain (PAS)**
*   *Variation A (Agitation):* Focus heavily on the "Spreadsheet Hell."
*   *Variation B (Fear):* "Your competitors are automating. You are manual."

**Cluster 2: The Logic (AIDA)**
*   *Variation C (Attention):* "Sales Directors: Read this."
*   *Variation D (Desire):* "Imagine closing 20% more deals."

**Cluster 3: The Pattern Interrupt (Social)**
*   *Variation E (Reviews):* "Rated 4.9/5 by [Industry] Reps."
*   *Variation F (Contrast):* "Old way: Excel. New way: Us."

### Phase 3: Output
Generate `ad_test_matrix.csv`:
- **Framework:** [PAS / AIDA / Social]
- **Headline:** [Hook]
- **Body_Copy:** [Ad Text]
- **Hypothesis:** "Testing if Fear drives cheaper clicks than Logic."

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*Blueprint ID: ad-variation-engine*
*Source: [Real AI Examples](https://realaiexamples.com)*