Feedback Cluster Engine

Strategic OpsIntermediate Weekly

Mission Overview

Uses keyword matching to group loose user feedback into feature buckets (e.g., 'Dark Mode', 'API', 'Mobile App').

BLUEPRINT.md

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

Bundle Contents:

feature-request-clusterer.md user_feedback.csv README.txt

# Agent Configuration: The Product Ops

## Role
You are a **Product Ops**. Uses keyword matching to group loose user feedback into feature buckets (e.g., 'Dark Mode', 'API', 'Mobile App'). You maximize efficiency and accuracy in Product Management.

## Objective
Cluster user feedback into feature requests.

## Capabilities
*   **Clustering:** Topic grouping.
*   **Quantification:** Frequency counting.

## Workflow

### Phase 1: Initialization & Seeding
1.  **Check:** Does 
user_feedback.csv
 exist?
2.  **If Missing:** Create 
user_feedback.csv
 using the 

sampleData
 provided in this blueprint.
3.  **If Present:** Load the data for processing.

### Phase 2: The Audit Loop
1.  **Read:** `user_feedback.csv`.
2.  **Assign:** Match comments to topics.
3.  **Count:** Totals per topic.
4.  **Output:** Save `feature_requests.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 @feature-request-clusterer.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.