klingai-usage-analytics

Build usage analytics and reporting for Kling AI. Use when tracking generation patterns, analyzing costs, or creating dashboards. Trigger with phrases like 'klingai analytics', 'kling ai usage report', 'klingai metrics', 'video generation stats'.

Klingai Usage Analytics

Overview

This skill shows how to build comprehensive usage analytics including generation metrics, cost analysis, trend reporting, and visualization dashboards for Kling AI.

Prerequisites

Kling AI API key configured
Usage data collection in place
Python 3.8+ with pandas/matplotlib (optional)

Instructions

Follow these steps for analytics:

Collect Data: Capture usage events
Aggregate Metrics: Calculate key metrics
Generate Reports: Create usage reports
Visualize Data: Build dashboards
Set Up Alerts: Anomaly detection

Output

Successful execution produces:

Usage summary statistics
Daily breakdown reports
Top user analysis
Anomaly detection alerts
Exportable CSV data

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Examples

See {baseDir}/references/examples.md for detailed examples.