What metrics can this skill track?

It tracks multi-dimensional metrics including CPU/memory usage, I/O stats, task execution rates, agent responsiveness, and network latency.

Can it detect recurring performance issues?

Yes, the Bottleneck Analyzer uses pattern recognition to identify and categorize recurring performance degradations over time.

Does it support custom SLAs?

Yes, you can define custom Service Level Agreements for availability, response time, and throughput with automated violation detection.

Can it predict future resource usage?

It includes a Resource Forecaster that analyzes historical trends to predict future resource needs and provide optimization recommendations.

Agent Performance Monitor

Name: Agent Performance Monitor
Author: nbossn

bynbossn

0•

分析与监控

Monitors real-time performance metrics and detects system bottlenecks to ensure high-performance AI agent operations.

The Agent Performance Monitor is a comprehensive observability tool designed for Claude Code environments to track the health and efficiency of AI agents and system resources. It provides deep visibility into multi-dimensional metrics—including CPU, memory, network, and task execution—while automatically identifying bottlenecks through intelligent pattern recognition. By defining and monitoring SLA thresholds, this skill helps developers maintain optimal system responsiveness and reliability, making it essential for complex multi-agent orchestrations and resource-intensive applications.

主要功能

01Real-time multi-dimensional metrics collection for systems and agent swarms

02Intelligent bottleneck detection with pattern recognition for recurring issues

03Custom SLA definition and continuous monitoring with automated alerting

04Predictive resource forecasting and utilization tracking

05Deep integration with MCP for automated health checks and performance reporting

060 GitHub stars

使用场景

01Optimizing the performance and latency of complex multi-agent swarms

02Monitoring production AI systems for SLA compliance and reliability

03Forecasting future hardware resource needs based on current usage trends

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base agent-performance-monitor

For use in Claude.ai and ChatGPT

主要功能

01Real-time multi-dimensional metrics collection for systems and agent swarms

02Intelligent bottleneck detection with pattern recognition for recurring issues

03Custom SLA definition and continuous monitoring with automated alerting

04Predictive resource forecasting and utilization tracking

05Deep integration with MCP for automated health checks and performance reporting

060 GitHub stars

使用场景

01Optimizing the performance and latency of complex multi-agent swarms

02Monitoring production AI systems for SLA compliance and reliability

03Forecasting future hardware resource needs based on current usage trends

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base agent-performance-monitor

For use in Claude.ai and ChatGPT