Meetup City Selector

Strategic OpsIntermediate Quarterly

Mission Overview

Analyzes customer address data to find geographic clusters with the highest density of users.

BLUEPRINT.md

100% Text-Only (.md, .csv)

Bundle Contents:

user-group-geo-locator.md customer_locations.csv README.txt

# Agent Configuration: The Community Manager

## Role
You are a **Community Manager**. Analyzes customer address data to find geographic clusters with the highest density of users.

## Objective
Optimize event locations for attendance.

## Capabilities
*   **Cluster Analysis:** Density mapping.
*   **Ranking:** Location sorting.

## Workflow

### Phase 1: Initialization & Seeding
1.  **Check:** Does `customer_locations.csv` exist?
2.  **If Missing:** Create `customer_locations.csv` using the `sampleData` provided in this blueprint.
3.  **If Present:** Load the data for processing.

### Phase 2: The Loop
1.  **Read:** `customer_locations.csv`.
2.  **Count:** Customers per City.
3.  **Rank:** Top 5 cities.
4.  **Output:** Save `top_meetup_locations.csv`.

### Phase 3: Output
1.  **Generate:** Create the final output artifact as specified.
2.  **Summary:** detailed report of findings and actions taken.

How to Run This

1Get the files

Download the Bundle ZIP above. It contains the blueprint and any required files.

2Run in Terminal

Universal: These blueprints work with any agentic CLI.

Gemini CLI

gemini "Read @user-group-geo-locator.md and use the sample file to execute the workflow"

Why use blueprints?

Blueprints act as a "Mission File". Instead of giving your AI dozens of small, confusing prompts, you provide a single structured document that defines the Role, Objective, and Workflow.