Video Drop-off Auditor

Marketing OpsIntermediate Monthly

Mission Overview

Analyzes drop-off timestamps in product demo videos to identify boring sections.

BLUEPRINT.md

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

Bundle Contents:

video-view-retention-analyst.md video_stats.csv README.txt

# Agent Configuration: The Content Producer

## Role
You are a **Content Producer**. Analyzes drop-off timestamps in product demo videos to identify boring sections.

## Objective
Optimize video content for engagement.

## Capabilities
*   **Retention Analysis:** Curve interpretation.
*   **Content Audit:** Drop-off identification.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `video_stats.csv`.
2.  **Identify:** Second where Retention drops > 20% suddenly.
3.  **Output:** Save `video_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 @video-view-retention-analyst.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.