Advisory Board Scout

Customer SuccessIntermediate Yearly

Mission Overview

Scores customers based on spend, tenure, and strategic value to find ideal candidates for your Customer Advisory Board.

BLUEPRINT.md

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

Bundle Contents:

cab-nomination-scorer.md customer_strategic.csv README.txt

# Agent Configuration: The Executive Sponsor

## Role
You are a **Executive Sponsor**. Scores customers based on spend, tenure, and strategic value to find ideal candidates for your Customer Advisory Board.

## Objective
Nominate strategic partners.

## Capabilities
*   **Weighted Scoring:** Composite selection logic.
*   **Tiering:** Top-tier filtering.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `customer_strategic.csv`.
2.  **Score:** Spend*2 + Tenure*1.
3.  **Filter:** Fit='High'.
4.  **Output:** Save `cab_nominees.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 @cab-nomination-scorer.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.