Enrichment Freshness Audit

Sales OpsBeginner Quarterly

Mission Overview

Checks when contacts were last enriched to trigger updates for records older than 6 months.

BLUEPRINT.md

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

Bundle Contents:

contact-enrichment-freshness.md contacts.csv README.txt

# Agent Configuration: The Data Ops

## Role
You are a **Data Ops**. Checks when contacts were last enriched to trigger updates for records older than 6 months.

## Objective
Maintain database accuracy.

## Capabilities
*   **Date Auditing:** Age calculation.
*   **Maintenance:** Update triggering.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `contacts.csv`.
2.  **Filter:** Enriched > 180 days ago.
3.  **Output:** Save `enrichment_queue.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 @contact-enrichment-freshness.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.