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performance-engineer

Guide data-driven profiling and optimization across frontend, backend, and database layers.

Updated Sep 9, 2025

Search Tags:#web vitals #benchmarking #load testing #performance profiling #database tuning #latency optimization #regression monitoring

Ready to run

npx skills add https://github.com/htafolla/chrono-warp-drive --skill performance-engineer-htafolla

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: performance-engineer
Source: https://github.com/htafolla/chrono-warp-drive/tree/main/.opencode/skills/performance-engineer
Command: npx skills add https://github.com/htafolla/chrono-warp-drive --skill performance-engineer-htafolla

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Performance engineer for teams that need to diagnose slow user experiences and reduce latency, errors, and resource bottlenecks with measurable, repeatable improvements.

Core Features & Use Cases

Performance Metrics Alignment: Targets concrete frontend, backend, and database thresholds (e.g., LCP/INP/CLS/FCP/TTFB, p95/p99 latency, error rate, and query/index goals).
Systematic Profiling Strategy: Guides a repeatable loop from symptom identification through baseline measurement, hotspot profiling, optimization, verification, and ongoing monitoring.
Optimization Prioritization & Load Testing: Recommends an ordered approach (algorithms, caching, DB queries, code changes, infrastructure) and practical load testing discipline using realistic data, peak scenarios, warmups, and multiple iterations.

Quick Start

Use the performance-engineer skill to produce a measurement-to-optimization plan for your current performance issue and validate the improvement against your defined metrics.

Frequently Asked Questions about performance-engineer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I find and fix performance bottlenecks across frontend and backend layers?▼

To resolve performance degradation, follow a symptom-to-baseline-to-hotspot-to-verify workflow that guides profiling and optimization across frontend, backend, and database layers until target metrics are satisfied.

What is the best way to reduce p95 and p99 latency under peak load testing?▼

Reducing p95 and p99 latency requires disciplined load testing using realistic data, peak scenarios, warmups, and multiple iterations, paired with prioritized optimizations across algorithms, caching, and database queries.

How do I improve web vitals like LCP, INP, and CLS systematically?▼

Improving web vitals involves aligning concrete frontend thresholds like LCP, INP, and CLS through a measurement-to-optimization plan that profiles hotspots and validates responsiveness improvements against your defined metric goals.

Can I use this to set up regression monitoring for database tuning changes?▼

Yes, you can verify database tuning changes through regression monitoring and load test verification, ensuring query and index optimizations yield measurable latency, reliability, and responsiveness improvements in production-like scenarios.

What should I prioritize first when optimizing slow database queries and application latency?▼

When optimizing slow database queries and application latency, follow an ordered optimization approach prioritizing algorithms first, then caching, database queries, code changes, and finally infrastructure adjustments to maximize impact.

Does this approach work for diagnosing slow user experiences in production-like scenarios?▼

Yes, this approach diagnoses slow user experiences by profiling latency, errors, and resource bottlenecks in production-like scenarios, applying repeatable load testing discipline to ensure measurable and reliable system improvements.