performance-monitor

What problem does it solve?

This Skill addresses the challenge of understanding and improving the efficiency, cost, and quality of AI agents by providing tools for observation, benchmarking, and optimization.

Core Features & Use Cases

• Token Usage Tracking: Monitor and analyze input/output token consumption to manage costs.
• Latency Analysis: Measure and optimize the response time of AI agents.
• Evaluation Frameworks: Implement metrics and datasets to assess agent quality and accuracy.
• Cost Optimization: Identify and reduce expenses associated with AI agent usage.
• Use Case: When an AI agent's API calls are becoming too expensive, use this skill to track token usage, identify which prompts are most costly, and suggest optimizations.

Quick Start

Use the performance monitor skill to track token usage for the 'customer-support-agent'.