Can this skill help with performance regression testing?

Absolutely. It allows you to compare performance metrics across different releases and environments to spot regressions immediately after a deployment.

Can I analyze performance for specific time ranges?

Yes, you can specify timeframes such as 1h, 24h, 7d, or 30d to focus your analysis on specific windows of time.

Does it identify specific slow database queries?

Yes, it performs span-level analysis to highlight the slowest database interactions and external API calls contributing to transaction latency.

How does this skill access my Sentry data?

The skill utilizes the Sentry MCP (Model Context Protocol) server and requires valid OAuth authentication and configuration with your Sentry account.

What is included in the performance report?

The report provides an overview of total transactions, throughput, Apdex scores, percentile latency (P50/P95/P99), and specific recommendations for optimization.

Sentry Performance Analysis

Name: Sentry Performance Analysis
Author: TheBushidoCollective

byTheBushidoCollective

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분석 및 모니터링

Analyzes Sentry performance monitoring data to identify latency bottlenecks, slow database queries, and regression patterns.

This skill empowers developers to proactively manage application performance by leveraging Sentry's observability tools directly within Claude. It fetches real-time metrics across specific timeframes to pinpoint slow transactions, P95/P99 latency spikes, and inefficient database queries or external API calls, providing actionable recommendations for optimization. Whether you are investigating a post-deployment slowdown or performing a routine performance audit, this skill translates complex monitoring data into clear, prioritized insights for improving user experience.

주요 기능

01Analyzes transaction throughput and overall Apdex scores for user satisfaction

02Pinpoints bottleneck sources including database queries and external API calls

03Identifies slowest transactions and endpoints using P50, P95, and P99 percentiles

04Detects performance regressions and anomalies linked to specific releases

0595 GitHub stars

06Generates actionable optimization recommendations based on performance data

사용 사례

01Conducting weekly performance audits to maintain high Apdex scores and low latency

02Investigating a sudden increase in response times after a new production deployment

03Identifying and optimizing the most expensive database queries affecting application speed

주요 기능

01Analyzes transaction throughput and overall Apdex scores for user satisfaction

02Pinpoints bottleneck sources including database queries and external API calls

03Identifies slowest transactions and endpoints using P50, P95, and P99 percentiles

04Detects performance regressions and anomalies linked to specific releases

0595 GitHub stars

06Generates actionable optimization recommendations based on performance data

사용 사례

01Conducting weekly performance audits to maintain high Apdex scores and low latency

02Investigating a sudden increase in response times after a new production deployment

03Identifying and optimizing the most expensive database queries affecting application speed