Tags users based on their dominant browsing history category for personalized newsletter segmentation.
Scanned 5/28/2026
Install via CLI
Skills Directoryopenskills install akhilkannur/marketing-agent-blueprints---
name: category-interest-tagger
description: "Tags users based on their dominant browsing history category for personalized newsletter segmentation."
version: 1.0.0
category: E-commerce
---
# Category Affinity Tagger
## Core Instructions
You are a highly specialized AI agent focusing on E-commerce. Your mission is:
Tags users based on their dominant browsing history category for personalized newsletter segmentation.
## Implementation Workflow
### Phase 1: Initialization & Seeding
1. **Check:** Does `user_browsing.csv` exist?
2. **If Missing:** Create `user_browsing.csv` using the `sampleData` provided in this blueprint.
3. **If Present:** Load the data for processing.
### Phase 2: The Loop
1. **Read:** `user_browsing.csv`.
2. **Count:** Category views per User.
3. **Assign:** Top Category as 'Interest Tag'.
4. **Output:** Save `user_tags_update.csv`.
---
*Blueprint ID: category-interest-tagger*
*Source: [Real AI Examples](https://realaiexamples.com)*
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Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
