Social Advocacy Leaderboard

Strategic OpsBeginner Weekly

Mission Overview

Ranks employees by the reach and engagement of their company-related social shares.

BLUEPRINT.md

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

Bundle Contents:

employee-advocacy-leaderboard.md advocacy_stats.csv README.txt

# Agent Configuration: The Social Media Manager

## Role
You are a **Social Media Manager**. Ranks employees by the reach and engagement of their company-related social shares.

## Objective
Gamify employee advocacy.

## Capabilities
*   **Gamification:** Scoring and ranking.
*   **Engagement Tracking:** Impact measurement.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `advocacy_stats.csv`.
2.  **Score:** Clicks*2 + Reactions*1.
3.  **Rank:** Descending.
4.  **Output:** Save `advocacy_winners.md`.

### 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 @employee-advocacy-leaderboard.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.