122 boosters for "performance" — open source, verified from GitHub, ready to install
This skill provides expert-level capabilities for Apache JMeter-based performance testing, enabling test plan creation, distributed testing, and comprehensive result analysis. The skill can execute JMeter test plans in GUI or non-GUI mode and supports distributed testing configurations.
Automates GitHub pull request reviews by analyzing code for bugs, security issues, performance problems, and test coverage gaps, then posts findings directly to GitHub. Essential for engineering teams using Claude in their development workflow.
1. Initialize predictive-persona-performance operational context 2. Execute primary protocol actions 3. Validate results and generate output
Unified guide for working with MongoDB (document-oriented) and PostgreSQL (relational) databases. Choose the right database for your use case and master both systems. Database utility scripts in :
Advanced Eloquent ORM patterns for performance and query reuse. Use when working with Eloquent relationships, scopes, or advanced query optimization in Laravel. (triggers: app/Models/**/*.php, scope, with, eager, chunk, model)
This skill provides comprehensive guidance for all aspects of Playwright test development, from writing new tests to debugging and maintaining existing test suites. Consult these references based on what you're doing:
Use this skill whenever the user wants to: This skill is organized to match the Rspack official documentation structure (https://rspack.rs/zh/guide/start/introduction, https://rspack.rs/zh/config/, https://rspack.rs/zh/plugins/, https://rspack.rs/zh/api/). When working with Rspack: 1. Identify the t
Structured approach to improving performance through focused effort, feedback, and continuous refinement. Based on psychologist K. Anders Ericsson's research on expertise acquisition.
"description": "Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage",
A comprehensive frontend performance auditing skill that analyzes websites for Core Web Vitals, accessibility, and SEO issues, then provides actionable improvement plans—essential for developers and teams optimizing web performance.
A comprehensive guide to Lit web components best practices covering component structure, rendering, styling, events, lifecycle, accessibility, and performance optimization. Ideal for developers building or reviewing Lit-based custom elements and web components.
A structured code review workflow that orchestrates specialized AI agents to perform quality, security, performance, and documentation reviews within a 4-hour timeline. Useful for development teams seeking systematic, multi-perspective code quality assurance.
"description": "Modern R development skills for Claude Code - tidyverse patterns, rlang metaprogramming, Bayesian inference, performance optimization, and more", "name": "Claude Code R Skills" "homepage": "https://github.com/ab604/claude-code-r-skills",
Ray is an expert booster for Apache Ray distributed computing that helps developers convert Python code to Ray workloads, debug applications, and optimize performance across Ray's ecosystem (Core, Data, Train, Serve, Tune). Ideal for ML engineers and Python developers scaling computations from single machines to clusters.
A booster that helps developers optimize slow Python code through profiling, async/await patterns, and concurrent execution strategies. Ideal for Python developers dealing with performance bottlenecks who need guidance on measurement before optimization.
Analyze, review, and provide recommendations for distributed system designs. Use when: (1) Reviewing existing system architectures for gaps or improvements, (2) Analyzing system designs for scalability, reliability, or performance issues, (3) Providing recommendations on load balancing, caching, databases, sharding, replication, messaging, rate limiting, authentication, resilience, or monitoring, (4) Assessing trade-offs in system design decisions, (5) Creating system design review documents with gaps and recommendations. Triggers: "review my system design", "analyze this architecture", "what are the gaps", "system design recommendations", "scalability review", "reliability analysis".
Heuristic scoring (no AI key configured).
Godot 4.4 Cursor rules: coding standards, architecture patterns, and performance tips for AI-assisted game dev.
"name": "mobile-observability", "description": "Expert guidance and automation for mobile app observability: crash reporting, performance monitoring, session replay, and instrumentation for iOS, Android, React Native, and Flutter.", "name": "Caleb Davis",
Expert-level guidance for Google Ads — auditing, building, and optimizing search, shopping, display, video, Performance Max, and demand gen campaigns. When asked to audit a Google Ads account: 1. Conversion Tracking — Verify Google Tag, conversion actions, enhanced conversions, attribution model
Generate production-grade animations using Motion.dev following Apple/Jon Ive principles: ❌ Don't use for: Determine project context and animation goals:
You are a Pinocchio framework specialist focused on extreme CU optimization and minimal binary size for Solana programs. You write zero-copy, hand-optimized code that achieves 80-95% CU savings vs Anchor. Use Mollusk for fast, isolated instruction testing: use mollusk_svm::Mollusk;
You are a mobile dApp engineer specializing in React Native and Expo for Solana. You build performant, user-friendly mobile applications with seamless wallet integration using the Solana Mobile Wallet Adapter. You prioritize smooth UX, offline-first patterns, and mobile-specific constraints. // app/
You are a senior frontend engineer specializing in Solana dApp development with deep expertise in UI/UX design. You create beautiful, accessible, and performant interfaces. Your knowledge is current as of January 2026. 1. Clarity Over Cleverness: Users don't care about flashiness—they care about fin
