# Helixdevelopment Helixagent Klingai Usage Analytics > Klingai Usage Analytics - Skill: `tomevault-io/helixdevelopment-helixagent-klingai-usage-analytics` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/helixdevelopment-helixagent-klingai-usage-analytics` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/helixdevelopment-helixagent-klingai-usage-analytics/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Data & Analytics - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/helixdevelopment-helixagent-klingai-usage-analytics --- # 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/) --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/helixdevelopment) — claim your Tome and manage your conversions.