Does it require external APM tools?

While it can integrate with existing APM infrastructure, it also supports custom instrumentation and local data collection through bash-based monitoring tools.

What percentile metrics are supported?

The skill reports on P50 (median), P95, and P99 (tail latency) percentiles to provide a comprehensive view of performance across all users.

How does Claude track response times?

Claude uses the response-time-tracker plugin to monitor API endpoints, database queries, and service calls, collecting metrics stored in your project's specific metrics directory.

Can I use this for SLO monitoring?

Yes, the skill is specifically designed to compare real-time metrics against established Service Level Objectives (SLOs) and identify compliance gaps.

Application Response Time Tracker

Name: Application Response Time Tracker
Author: jeremylongshore

byjeremylongshore

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1,965

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분석 및 모니터링

Monitors and optimizes application latency across APIs and databases with detailed percentile reporting and SLO tracking.

This skill enables Claude to proactively manage application performance by monitoring response times across API endpoints, database queries, and service calls. It provides deep visibility into system latency through P50, P95, and P99 percentile metrics, allowing developers to quickly identify bottlenecks, ensure compliance with Service Level Objectives (SLOs), and receive actionable recommendations for performance optimization. By integrating directly with your monitoring infrastructure, it helps maintain high-performance standards during the development and deployment lifecycle.

주요 기능

01SLO compliance tracking and reporting

02Integration with APM tools and custom metrics

03Automated performance bottleneck identification

04Percentile-based reporting (P50, P95, P99)

051,965 GitHub stars

06Granular API and database query monitoring

사용 사례

01Establishing performance baselines for new application releases

02Diagnosing latency spikes in microservices or API endpoints

03Monitoring database performance for complex query optimizations

주요 기능

01SLO compliance tracking and reporting

02Integration with APM tools and custom metrics

03Automated performance bottleneck identification

04Percentile-based reporting (P50, P95, P99)

051,965 GitHub stars

06Granular API and database query monitoring

사용 사례

01Establishing performance baselines for new application releases

02Diagnosing latency spikes in microservices or API endpoints

03Monitoring database performance for complex query optimizations