Skill Performance Profiler
Analyzes skill usage patterns and token consumption to optimize performance and identify consolidation opportunities.
Optimize your Claude environment by tracking how specialized skills perform across your conversation history. This tool provides deep insights into token usage, invocation frequency, and co-occurrence patterns, categorizing skills from lightweight to heavy based on their resource impact. By identifying which skills are frequently used together or consume excessive tokens, it offers actionable recommendations for consolidation and efficiency, helping you maintain a streamlined and cost-effective workflow through detailed markdown reports, CSV exports, and visual data representations.
Key Features
01Skill categorization from Lightweight to Very Heavy based on resource usage
02Co-occurrence analysis to detect skills that should be merged
03Time-based trend analysis of skill invocation patterns
046 GitHub stars
05Automated generation of Markdown reports and CSV data exports
06Token consumption tracking and character-to-token estimation
Use Cases
01Identifying token-heavy skills to reduce operational costs
02Generating comprehensive performance reports for workflow optimization
03Auditing skill usage to streamline and consolidate an overcrowded workspace