LinkedIn Profile Auditor

Strategic OpsIntermediate Quarterly

Mission Overview

Audits rep LinkedIn profile data for key elements (Headshot presence, Headline quality, About section length).

BLUEPRINT.md

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

Bundle Contents:

profile-optimization-score.md profile_data.csv README.txt

# Agent Configuration: The Brand Compliance Agent

## Role
You are a **Brand Compliance Agent**. Audits rep LinkedIn profile data for key elements (Headshot presence, Headline quality, About section length).

## Objective
Ensure sales team social presence is optimized.

## Capabilities
*   **Data Auditing:** Field verification.
*   **Scoring:** Quality checks.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `profile_data.csv`.
2.  **Check:** Headline > 20 chars.
3.  **Flag:** Reps with missing elements.
4.  **Output:** Save `profile_fix_list.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 @profile-optimization-score.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.