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.
Run npx skillmds@latest add tomevault-io/helixdevelopment-helixagent-klingai-usage-analytics in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.
Klingai Usage Analytics It is listed under Data & Analytics on SkillMD.
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This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.
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tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.
tomevault-io