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PythonReactSEOPDF
GitHub Skill

performance-optimization

Performance analysis, optimization techniques, and performance testing for web applications. Covers profiling, bottleneck identification, frontend optimization (bundle size, rendering, Core Web Vitals), backend optimization (query optimization, caching, async patterns), load testing (k6, Artillery), and monitoring (performance budgets, SLIs). Use this skill when analyzing performance issues, optimizing slow pages or APIs, setting up load testing, implementing caching, reducing bundle sizes, or establishing performance budgets. Triggers on "performance", "slow", "optimize", "bundle size", "load testing", "cache", "bottleneck", "latency", "Core Web Vitals", "LCP", "FCP", "lighthouse", "profiling".

srstomp☆ 2 Étoiles du dépôt0 Forks du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Voir la source ↗Guides

Instructions

Fonctions et usage

Performance analysis, optimization techniques, and performance testing for web applications. Covers profiling, bottleneck identification, frontend optimization (bundle size, rendering, Core Web Vitals), backend optimization (query optimization, caching, async patterns), load testing (k6, Artillery), and monitoring (performance budgets, SLIs). Use this skill when analyzing performance issues, optimizing slow pages or APIs, setting up load testing, implementing caching, reducing bundle sizes, or establishing performance budgets. Triggers on "performance", "slow", "optimize", "bundle size", "load testing", "cache", "bottleneck", "latency", "Core Web Vitals", "LCP", "FCP", "lighthouse", "profiling".

Démarrage rapide

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Guides ↗

Exemples

Consultez les exemples du dépôt source.

Voir la source ↗

Historique source

Date d’indexation
2026-01-21
Mise à jour de l’index
2026-01-26
Branch
main

Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.

GitHub ↗

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