token-usage-analyzer

To analyze Claude Code token usage, you can run this skill to review global consumption and project-specific expenses, identifying inefficient API call patterns to reduce API costs. It provides detailed statistical reports and actionable cost-saving recommendations.

The best way to identify inefficient Claude API call patterns is by analyzing session token usage for issues like high average input per call and excessive API calls per message. This skill flags these potential issues automatically and offers optimization advice.

Yes, you need to install Go because the skill depends on the Go environment to execute its analysis scripts. These scripts process your session data to generate detailed statistical reports on token consumption and warnings.

Yes, you can get automated warnings for high average input per call, excessive API calls per message, and inefficient plugin usage by analyzing your Claude sessions. This process flags potential issues and provides actionable cost optimization recommendations.

You should review your prompt engineering token usage for performance tuning after periods of heavy Claude usage, such as monthly. This helps identify which projects or sessions consumed the most tokens and provides specific advice to reduce future costs.

The token usage analysis provides actionable cost optimization recommendations by identifying inefficient API call patterns and areas for resource allocation improvement. It helps you understand consumption patterns to save costs and improve overall efficiency.