Does it support external API calls?

Yes, it monitors the response times of external service integrations, allowing you to see how third-party dependencies affect your application speed.

Is this skill useful for meeting SLOs?

Absolutely. It is designed to help teams monitor Service Level Objectives and proactively address performance issues before they impact users.

What metrics does the Response Time Tracker provide?

The skill provides comprehensive performance data including P50, P95, and P99 percentiles, as well as average and maximum response times for your application components.

Can I use this to monitor database performance?

Yes, the skill specifically tracks database query execution times to help you identify slow queries and optimize your data layer.

How do I trigger the response time tracking?

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

Response Time Tracker

Name: Response Time Tracker
Author: intent-solutions-io

byintent-solutions-io

分析与监控

Monitors and optimizes application performance by tracking latency metrics across APIs, databases, and background jobs.

关于

The Response Time Tracker skill empowers Claude to proactively monitor and improve application performance by analyzing latency across multiple layers including API endpoints, database queries, and frontend rendering. By calculating critical P50, P95, and P99 percentiles, it provides deep visibility into performance bottlenecks and Service Level Objective (SLO) compliance. This skill is essential for developers looking to diagnose slow services, benchmark system changes, and maintain high-performance standards through automated reporting and performance alerts.

主要功能

Detailed percentile reporting including P50, P95, and P99 metrics
Comprehensive monitoring of APIs, databases, and external service calls
Real-time tracking of background job and frontend rendering speeds
0 GitHub stars
Identification of specific performance bottlenecks and latency outliers
Proactive performance degradation alerting and trend analysis

使用场景

Monitoring database query performance to optimize data access layers
Verifying Service Level Objective (SLO) compliance for production services
Diagnosing and resolving slow API endpoints during development

关于

主要功能

Detailed percentile reporting including P50, P95, and P99 metrics
Comprehensive monitoring of APIs, databases, and external service calls
Real-time tracking of background job and frontend rendering speeds
0 GitHub stars
Identification of specific performance bottlenecks and latency outliers
Proactive performance degradation alerting and trend analysis

使用场景

Monitoring database query performance to optimize data access layers
Verifying Service Level Objective (SLO) compliance for production services
Diagnosing and resolving slow API endpoints during development