Identify and fix performance bottlenecks in Node.js, Go services, and APIs.
npx skills add https://github.com/jmylchreest/aide --skill perf-jmylchreest
Please help me install this Agent Skill. Skill: perf Source: https://github.com/jmylchreest/aide/tree/main/skills/perf Command: npx skills add https://github.com/jmylchreest/aide --skill perf-jmylchreest
Performance issues slow down systems and hinder user experience. This Skill provides a systematic approach to measure, identify hotspots, and apply targeted optimizations to improve latency, throughput, and resource usage.
Run the performance workflow to baseline your system, identify hotspots, apply optimizations, and verify improvements.
High-intent search queries and answers about installing and using this skill.
Profiling your APIs involves baseline measurement of latency and throughput, followed by hotspot identification and data-driven optimization steps to improve resource usage and verify improvements.
You can optimize performance by following a structured workflow that establishes baselines, identifies hotspots, applies data-driven optimizations, and verifies measurable outcomes using profiling and memory search.
Yes, the workflow supports profiling memory usage and latency for API services by guiding baseline measurements, hotspot identification, and step-by-step optimizations to achieve measurable improvements.
Hotspot identification works by profiling your services to pinpoint the exact code causing throughput issues, enabling data-driven decisions and targeted optimizations validated against reproducible baselines.
Verifying performance optimizations requires measuring the updated system against initial baselines, confirming that latency, throughput, and memory improvements are measurable and reproducible.
strawgateProfile and benchmark Go applications to identify and resolve performance bottlenecks.
mtsatryanCollect, analyze, and visualize real-time metrics from distributed systems.
jtvarisProfile CPU, memory, rendering, and I/O performance to identify bottlenecks and budget overruns.
jg-chalk-ioProfile CPU and memory bottlenecks across Python, Node.js, and Go applications.
