Best Claude Code Plugins for Performance

Chrome browser testing and performance analysis using Chrome DevTools Protocol (CDP). 27 professional-grade tools for web testing, performance measurement, accessibility validation, and browser automation.

Profile and optimize code performance with bundle analysis, runtime benchmarking, memory leak detection, and actionable improvement suggestions

Expert assistant for Azure Cosmos DB — data modeling, query optimization, performance tuning, and best practices.

Carta Investors plugin — skills for querying investor data, performance benchmarks, regulatory reporting, AGM deck generation, brand extraction, and more via the Carta MCP Server.

Control and inspect a live Chrome browser from your coding agent. Record performance traces, analyze network requests, check console messages with source-mapped stack traces, and automate browser actions with Puppeteer.

CodSpeed is the all-in-one performance testing toolkit. Dive into benchmarking results, flamegraphs, and performance comparisons — give Claude granular profiling context to pinpoint bottlenecks and autonomously iterate on performance via the CodSpeed MCP server.

Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, and Java.

Redis development best practices — data structures, query engine, vector search, caching, and performance optimization

Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, or benchmark skill performance with variance analysis.

Create intelligent alerting rules for performance monitoring

Create Application Performance Monitoring dashboards

Profile application performance with CPU, memory, and execution time analysis

Detect and resolve performance bottlenecks

Optimize caching strategies for improved performance

Analyze and plan for capacity requirements

Monitor and analyze CPU usage patterns in applications

Implement and optimize database connection pooling for improved performance and resource management

Profile and optimize database queries for performance

Set up distributed tracing for microservices

Monitor and analyze application error rates

Collect comprehensive infrastructure performance metrics

Create and execute load tests for performance validation

Analyze logs for performance insights and issues

Detect memory leaks and analyze memory usage patterns

Aggregate and centralize performance metrics

Analyze network latency and optimize request patterns

Validate application against performance budgets

Get comprehensive performance optimization recommendations

Detect performance regressions in CI/CD pipeline

Load testing and performance benchmarking with metrics analysis and bottleneck identification

Comprehensive codebase cleanup across 11 quality dimensions — dead code, duplication, weak types, circular deps, defensive cruft, legacy code, AI slop, type consolidation, security, performance, and async patterns. Confidence scoring and build verification gates.

Analyze query performance with EXPLAIN plan interpretation, bottleneck identification, and optimization recommendations

Implement Real User Monitoring for actual performance data

Track and optimize resource usage across the stack

Track and optimize application response times

Track SLAs, SLIs, and SLOs for service reliability

Analyze and optimize SQL queries for better performance, suggesting indexes, query rewrites, and execution plan improvements

Set up synthetic monitoring for proactive performance tracking

Analyze and optimize system throughput

Backtest trading strategies with historical data, performance metrics, and risk analysis

Battle-tested Claude Code skills for modern xOS (iOS, iPadOS, watchOS, tvOS) development - 13 production-ready skills covering debugging, concurrency, persistence, UI, and performance

Complete Vercel integration skill pack with 30 skills covering deployments, edge functions, preview environments, performance optimization, and production operations. Flagship+ tier vendor pack.

Complete Sentry integration skill pack with 30 skills covering error monitoring, performance tracking, session replay, and observability. Flagship+ tier vendor pack.

AI Shipping Kit — for PMs and founders accountable for AI-built code. Document a vibe-coded app, audit it for intended-vs-implemented security gaps and performance issues, and produce a reviewer-ready shipping packet.

End-to-end feature orchestration with testing, security, performance, and deployment

Application profiling, performance optimization, and observability for frontend and backend systems

Database query optimization, cloud cost optimization, and scalability improvements

Performance analysis, test coverage review, and AI-powered code quality assessment

Systems programming with Rust, Go, C, and C++ for performance-critical and low-level development

Modern Julia development with Julia 1.10+, package management, scientific computing, high-performance numerical code, and production best practices

Performance analysis and optimization

Python development suite: testing, performance optimization, async patterns, and packaging guidance

Optimizes API performance through payload reduction, caching strategies, and compression techniques. Use when improving API response times, reducing bandwidth usage, or implementing efficient caching.

Comprehensive Cloudflare Workers platform guide covering runtime APIs, testing (Vitest), CI/CD, observability, framework integration, performance, security, and migration. Use for Workers development, deployment, debugging, or optimization.

Builds GraphQL APIs with schema design, resolvers, error handling, and performance optimization using Apollo or Graphene. Use when creating flexible query APIs, migrating from REST, or implementing real-time subscriptions.

Optimizes images for web performance using modern formats, responsive techniques, and lazy loading strategies. Use when improving page load times, implementing responsive images, or preparing assets for production deployment.

Mobile app debugging for iOS, Android, cross-platform frameworks. Use for crashes, memory leaks, performance issues, network problems, or encountering Xcode instruments, Android Profiler, React Native debugger, native bridge errors.

Mobile app testing with unit tests, UI automation, performance testing. Use for test infrastructure, E2E tests, testing standards, or encountering test framework setup, device farms, flaky tests, platform-specific test errors.

Comprehensive Nuxt 4 development with 4 focused skills (core, data, server, production), 3 diagnostic agents (debugger, migration, performance), and interactive setup wizard. Use when: building Nuxt 4 applications, implementing SSR patterns, creating composables, server routes, …

Comprehensive Nuxt 5 development with 4 focused skills (core, data, server, production), 3 diagnostic agents (debugger, migration, performance), and interactive setup wizard. Use when: building Nuxt 5 applications, implementing SSR patterns, creating composables, server routes, …

React and Next.js performance optimization guidelines from Vercel Engineering. Use when writing/reviewing/refactoring React code for optimal performance. Covers async patterns, bundle optimization, server/client components, re-render optimization.

React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules.

Postgres performance optimization and best practices from Supabase. 30 rules across 8 categories prioritized by impact.

Sveltia CMS Git-backed content management (Decap/Netlify CMS successor). 5x smaller bundle (300 KB), GraphQL performance, solves 260+ issues. Use for static sites (Hugo, Jekyll, 11ty, Gatsby, Astro, Next.js), blogs, docs, i18n, or encountering OAuth errors, TOML/YAML issues, COR…

Turborepo high-performance monorepo build system. Use for monorepo setup, build optimization, task pipelines, caching strategies, or multi-package orchestration.

Web performance audits with Core Web Vitals, bottleneck identification, optimization recommendations. Use for page load times, performance reviews, UX optimization, or encountering LCP, FID, CLS issues, resource blocking, render delays.

Optimizes web application performance through code splitting, lazy loading, caching strategies, and Core Web Vitals monitoring. Use when improving page load times, implementing service workers, or reducing bundle sizes.