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'. allowed-tools: Read, Write, Edit, Grep version: 1.0.0 license: MIT author: Jeremy Longshore <jeremy@intentsolutions.io>

v1.0.0

Jeremy Longshore

MIT

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Provided by Plugin

klingai-pack

Kling AI skill pack - 30 skills for AI video generation, image-to-video, text-to-video, and production workflows

saas packs v1.0.0

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Installation

This skill is included in the klingai-pack plugin:

/plugin install klingai-pack@claude-code-plugins-plus

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Instructions

# 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: 1. **Collect Data**: Capture usage events 2. **Aggregate Metrics**: Calculate key metrics 3. **Generate Reports**: Create usage reports 4. **Visualize Data**: Build dashboards 5. **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. ## Resources - [Kling AI Dashboard](https://console.klingai.com/usage) - [pandas Documentation](https://pandas.pydata.org/) - [Data Visualization](https://matplotlib.org/)