Can I monitor database performance with this skill?

Yes, it specifically monitors database query execution times to help you identify and optimize slow-running data operations.

How do I trigger the response time tracking?

You can activate the skill by asking Claude to 'track response times', 'optimize latency', or 'monitor application performance' for a specific target.

What specific metrics does this skill track?

The skill tracks P50, P95, and P99 percentiles, as well as average and maximum response times across different application layers.

Does this work for external API calls?

Yes, the tracker monitors external service calls and third-party API dependencies to identify delays caused by outside integrations.

Application Response Time Tracker

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

byintent-solutions-io

분석 및 모니터링

Monitors and analyzes application latency across APIs, databases, and frontend components to identify and resolve performance bottlenecks.

소개

This skill empowers Claude to provide deep visibility into application performance by tracking response times for critical execution paths, including API endpoints, database queries, and background jobs. By calculating key latency percentiles like P50, P95, and P99, the skill helps developers pinpoint exactly where delays occur, monitor Service Level Objectives (SLOs), and receive proactive alerts regarding performance degradation before it impacts the end-user experience.

주요 기능

Bottleneck identification for frontend and background jobs
Multi-layer tracking for APIs, DBs, and external services
Real-time performance reporting and insights
0 GitHub stars
Statistical analysis including P50, P95, and P99 percentiles
Configurable alerting for performance degradation

사용 사례

Optimizing slow-running database queries within a product catalog
Monitoring SLO compliance for critical microservice dependencies
Diagnosing high latency in user authentication or data-heavy API endpoints

소개

주요 기능

Bottleneck identification for frontend and background jobs
Multi-layer tracking for APIs, DBs, and external services
Real-time performance reporting and insights
0 GitHub stars
Statistical analysis including P50, P95, and P99 percentiles
Configurable alerting for performance degradation

사용 사례

Optimizing slow-running database queries within a product catalog
Monitoring SLO compliance for critical microservice dependencies
Diagnosing high latency in user authentication or data-heavy API endpoints