Which performance metrics does the skill provide?

The skill calculates P50, P95, and P99 percentiles, along with average and maximum response times for a complete view of system latency.

What layers of an application can this skill monitor?

It tracks response times across API endpoints, database queries, external service calls, frontend rendering, and background job execution.

How do I trigger this skill in Claude Code?

You can activate it using natural language phrases like 'track response times', 'optimize latency', or 'monitor application performance'.

Can this skill help with SLO monitoring?

Yes, it is specifically designed to monitor Service Level Objectives related to response times and alert you to performance degradation.

Why does it track P99 percentiles specifically?

P99 metrics are essential for identifying 'tail latency,' showing the response time for the slowest 1% of users, which often reveals underlying architectural issues.

Application Response Time Tracker

Name: Application Response Time Tracker
Author: jeremylongshore

byjeremylongshore

•

883

Analytics & Monitoring

Monitors and optimizes application performance by tracking response times across APIs, databases, and background services.

About

This skill enables Claude to proactively monitor and analyze application performance by tracking response times across multiple layers, including API endpoints, database queries, and background jobs. By calculating critical metrics such as P50, P95, and P99 percentiles, it helps developers identify hidden bottlenecks, monitor Service Level Objectives (SLOs), and receive immediate alerts regarding performance degradation. It is an essential tool for maintaining high-availability systems and ensuring a smooth user experience through data-driven optimization.

Key Features

Proactive alerting for deviations from performance baselines
Multi-layer tracking for APIs, databases, and external services
Detailed statistical analysis including P50, P95, and P99 percentiles
Real-time monitoring of frontend rendering and background jobs
Automated identification of performance bottlenecks
883 GitHub stars

Use Cases

Diagnosing and resolving latency issues in specific REST or GraphQL API endpoints
Tracking compliance with Service Level Objectives (SLOs) during high-traffic events
Monitoring database query execution times to optimize slow-running SQL or NoSQL calls

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

GitHub