skill-performance-profiler

You can analyze skill usage and quantify token consumption by applying a profiler to recent chats to measure invocation frequency and estimate token costs, generating actionable reports in markdown and CSV formats.

To identify consolidation opportunities, you can detect skill co-occurrence patterns across multiple conversations, which reveals streamlining opportunities to optimize overall skill usage and reduce redundant token costs.

Tracking invocation frequency is done by collecting data from recent chats to measure how often each skill is invoked, allowing you to distinguish heavy usage skills from lightweight ones for optimization.

Yes, you can generate usage metrics reports in both markdown and CSV outputs, providing flexible formats to review token consumption, trend analysis, and invocation frequency data for optimization.

You need to provide a sample set of conversations as input data; the profiler then extracts data from recent chats to estimate token consumption and compute trend analysis without requiring additional dependencies.

Token consumption analysis matters because it quantifies how each skill is invoked to reveal underlying usage patterns and token costs, directly highlighting opportunities to streamline and optimize skill workflows.