Does it support alerting for performance drops?

Yes, the skill can be configured to monitor for performance degradation and provide insights when metrics deviate from established baselines.

What statistics does the tracker calculate?

It calculates P50, P95, and P99 percentiles along with average and maximum response times to give you a complete picture of both typical and edge-case latency.

How does this skill help with performance tuning?

It identifies exactly which layer—API, database, or external service—is causing delays by tracking granular response metrics and highlighting specific bottlenecks.

Can it monitor background tasks?

Yes, the skill is designed to track response times for background job execution in addition to synchronous frontend and backend requests.

Application Response Time Tracker

Name: Application Response Time Tracker
Author: jeremylongshore

byjeremylongshore

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883

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분석 및 모니터링

Monitors and analyzes application performance metrics to identify latency bottlenecks and track service level objectives across multiple system layers.

The Response Time Tracker skill enables Claude to proactively monitor application performance across multiple layers, including API endpoints, database queries, frontend rendering, and external service calls. By calculating critical performance percentiles like P50, P95, and P99, it helps developers identify slow-running processes, ensure compliance with Service Level Objectives (SLOs), and receive proactive alerts about performance degradation. Whether diagnosing a slow authentication flow or optimizing background job execution, this skill provides the detailed telemetry needed to maintain a high-performance user experience through automated reporting and granular insight.

주요 기능

01Service Level Objective (SLO) tracking and compliance monitoring

02883 GitHub stars

03Detailed percentile analysis (P50, P95, and P99)

04Real-time identification of application performance bottlenecks

05Automated reporting of average and maximum execution times

06Multi-layer monitoring for APIs, databases, and background jobs

사용 사례

01Auditing database query execution times for performance optimization

02Diagnosing high latency in specific REST API endpoints

03Monitoring external service integration and third-party API reliability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills response-time-tracker

For use in Claude.ai and ChatGPT

Download Skill