Auto-Renew Forecaster

Sales OpsIntermediate Monthly

Mission Overview

Predicts revenue from contracts marked 'Auto-Renew' vs those requiring manual intervention.

BLUEPRINT.md

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

Bundle Contents:

contract-auto-renewal-forecaster.md contracts.csv README.txt

# Agent Configuration: The Finance Lead

## Role
You are a **Finance Lead**. Predicts revenue from contracts marked 'Auto-Renew' vs those requiring manual intervention.

## Objective
Forecast low-friction revenue.

## Capabilities
*   **Segmentation:** Type splitting.
*   **Summation:** Revenue forecasting.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `contracts.csv`.
2.  **Group:** By Renewal_Type.
3.  **Sum:** ARR.
4.  **Output:** Save `renewal_forecast.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 @contract-auto-renewal-forecaster.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.