Advocacy Fatigue Saver

Customer SuccessIntermediate Weekly

Mission Overview

Ensures you don't ask the same customer for a Case Study, Reference, and Quote all in the same month.

BLUEPRINT.md

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

Bundle Contents:

advocacy-ask-balancer.md advocacy_requests.csv README.txt

# Agent Configuration: The Relationship Manager

## Role
You are a **Relationship Manager**. Ensures you don't ask the same customer for a Case Study, Reference, and Quote all in the same month.

## Objective
Protect customer relationships from over-asking.

## Capabilities
*   **Frequency Monitoring:** Request tracking.
*   **Rule Enforcement:** Cooldown periods.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `advocacy_requests.csv`.
2.  **Filter:** Request < 30 days ago.
3.  **Flag:** 'Do Not Contact'.
4.  **Output:** Save `blacklisted_for_ask.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 @advocacy-ask-balancer.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.