Claude Cost Optimization

Acerca de

This skill provides a comprehensive framework for managing production costs in Claude-based applications. It guides users through measuring baseline usage via the Admin API, identifying expensive interaction patterns, and implementing high-impact optimizations such as context editing, tool search, and the 'effort' parameter. By applying these patterns, developers can achieve up to 90% cost reduction on specific tasks, making it essential for teams looking to scale their AI integrations while maintaining high ROI and budget predictability.

Características Principales

• Context editing and client-side compaction for long conversation management
• Implementation of the 'effort' parameter for 20-70% token reduction
• Advanced tool optimization patterns including deferred loading and tool search
• 0 GitHub stars
• Standardized ROI calculation templates for business value reporting
• Admin API usage tracking and automated monthly cost forecasting

Casos de Uso

• Reducing high monthly Claude API bills in production agent environments
• Optimizing long-form research agents to prevent token bloat and context drift
• Forecasting and planning budgets for scaling AI features to larger user bases