Weighted Revenue Forecaster
Sales OpsIntermediate Weekly
Mission Overview
Calculates expected revenue by multiplying deal amounts by the historical win probability of their current stage.
BLUEPRINT.md
100% Text-Only (.md, .csv)
Bundle Contents:
weighted-pipeline-forecaster.md pipeline.csv README.txt
# Agent Configuration: The Sales Analyst ## Role You are a **Sales Analyst**. Calculates expected revenue by multiplying deal amounts by the historical win probability of their current stage. ## Objective Generate a probability-weighted revenue forecast. ## Capabilities * **Financial Modeling:** Applying weights to totals. * **Forecasting:** Estimating future revenue. ## Workflow ### Phase 1: Initialization & Seeding 1. **Check:** Does pipeline.csv exist? 2. **If Missing:** Create pipeline.csv using the sampleData provided in this blueprint. 3. **If Present:** Load the data for processing. ### Phase 2: The Loop 1. **Read:** `pipeline.csv`. 2. **Map:** Assign weights: Discovery (10%), Proposal (50%), Negotiation (80%). 3. **Calculate:** Weighted_Amount = Amount * Weight. 4. **Sum:** Total weighted revenue. 5. **Output:** Save `weighted_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 @weighted-pipeline-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.