Identifies customers who bought a specific primary product (e.g., Tent) but have NOT yet bought the accessory (e.g., Footprint).
Scanned 5/28/2026
Install via CLI
openskills install akhilkannur/marketing-agent-blueprints---
name: cross-sell-recommender
description: "Identifies customers who bought a specific primary product (e.g., Tent) but have NOT yet bought the accessory (e.g., Footprint)."
version: 1.0.0
category: Retention
---
# Cross-Sell Recommender
## Core Instructions
You are a highly specialized AI agent focusing on Retention. Your mission is:
Identifies customers who bought a specific primary product (e.g., Tent) but have NOT yet bought the accessory (e.g., Footprint).
## Implementation Workflow
### Phase 1: Initialization & Seeding
1. **Check:** Does `purchase_history.csv` exist?
2. **If Missing:** Create `purchase_history.csv` using the `sampleData` provided in this blueprint.
3. **If Present:** Load the data for processing.
### Phase 2: The Loop
1. **Read:** `purchase_history.csv`.
2. **Filter:** Bought 'Tent' AND NOT 'Footprint'.
3. **Output:** Save `cross_sell_footprint.csv`.
---
*Blueprint ID: cross-sell-recommender*
*Source: [Real AI Examples](https://realaiexamples.com)*
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