klingai-usage-analytics

tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill 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'.

58%

Overall

Validation — 81%

Implementation — 22%

Activation — 90%

SKILL.md

Review

Evals

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.

Resources

Repository: github.com/jeremylongshore/claude-code-plugins-plus-skills
Last updated: 14 days ago
Created: 14 days ago

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.