How do I trigger an analysis session?

You can invoke the performance analyzer using the $agent-performance-analyzer command within your Claude Code environment.

Does it support predictive performance analysis?

Yes, it includes advanced features for ML-based bottleneck prediction and capacity planning to address issues before they become critical.

How does the Performance Analyzer identify bottlenecks?

It monitors execution metrics in real-time, profiling resource usage, mapping task dependencies, and tracing communication patterns to pinpoint specific hotspots.

Can this skill help with multi-agent coordination?

Yes, it specifically analyzes inter-agent communication overhead and identifies when hierarchical or sequential topologies are causing unnecessary delays.

What kind of optimization reports does it generate?

It provides detailed reports including an overall performance score, root cause analysis for critical bottlenecks, and prioritized action plans with expected improvement percentages.

Agent Performance Analyzer

Name: Agent Performance Analyzer
Author: nbossn

bynbossn

0•

분석 및 모니터링

Identifies and resolves performance bottlenecks in development workflows, agent coordination, and system operations.

The Agent Performance Analyzer is a specialized diagnostic tool designed to optimize Claude Code workflows by detecting execution delays, resource constraints, and communication overhead. It provides deep visibility into task dependencies and agent interactions, offering actionable optimization strategies such as parallelization, resource reallocation, and algorithm improvements. By utilizing real-time monitoring and trend analysis, this skill ensures that complex multi-agent systems maintain peak efficiency and scalability.

주요 기능

01Advanced pattern recognition to identify coordination and communication overhead

02Automated generation of optimization plans with estimated improvement metrics

030 GitHub stars

04Real-time bottleneck detection and execution time profiling

05Comprehensive resource utilization tracking for CPU, memory, and I/O

06Historical trend analysis to monitor performance gains and prevent regressions

사용 사례

01Refactoring sequential task chains into high-efficiency parallel execution models

02Optimizing resource-intensive CI/CD pipelines and local build processes

03Debugging and accelerating slow execution in complex multi-agent workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT

주요 기능

01Advanced pattern recognition to identify coordination and communication overhead

02Automated generation of optimization plans with estimated improvement metrics

030 GitHub stars

04Real-time bottleneck detection and execution time profiling

05Comprehensive resource utilization tracking for CPU, memory, and I/O

06Historical trend analysis to monitor performance gains and prevent regressions

사용 사례

01Refactoring sequential task chains into high-efficiency parallel execution models

02Optimizing resource-intensive CI/CD pipelines and local build processes

03Debugging and accelerating slow execution in complex multi-agent workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

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

For use in Claude.ai and ChatGPT