performance-engineering
Use when optimizing performance, profiling bottlenecks, or architecting for scale
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Use when optimizing performance, profiling bottlenecks, or architecting for scale
Systematic debugging framework with root cause investigation, tracing, defense-in-depth validation, and verification. Use when: 'bug', 'test failure', 'unexpected behavior', 'error', 'not working', 'broken', be...
Visual QA checkpoint for conductor gates. Uses tabz MCP tools to check browser console errors, take screenshots, and identify obvious UI issues. Returns structured result with pass/fail status and captured scre...
Guides development, updates, and refactoring across the entire MCP server codebase. Use when adding features, updating categories, refactoring code, checking test coverage, or making any code changes. Enforces...
Centralizes persona-driven code reviews (Carmack, React core, Anders, React Router, Next.js, etc.) so Claude can pick or combine expert viewpoints when the user asks for a code review or perspective-specific cr...
Review code for SolidJS reactivity issues, TypeScript type safety problems, and component design anti-patterns. Use when asked to review code, check for issues, review a PR, or audit code quality.
React performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React code to ensure optimal performance patterns. Triggers on tasks involvin...
Guide for debugging issue on a specific code sections, pattern, or files. Used this skill when user asking for assistant when debugging an issues or explaining a code.
Diagnose system performance issues including CPU, memory, disk, and network. Use when the user says "server is slow", "high CPU", "out of memory", "disk full", "performance issues", or asks to debug system perf...
Analyze coding sessions to detect corrections and preferences, then propose targeted improvements to Skills used in the session. Use this skill when the user asks to "learn from this session", "update skills",...
시스템 모니터링. 현재 상태를 확인하고 이상 징후를 탐지합니다.
Setup observability platform configuration (Datadog, Prometheus, Splunk) with REQ-* dashboards and alerts. Creates monitors for each requirement with SLA tracking. Use when deploying to production or setting up...
Generate comprehensive coverage report with requirement traceability mapping. Shows coverage per REQ-*, gaps, trends, and recommendations. Use for status dashboards, quality reviews, or compliance audits.
Homeostatic sensor validating test coverage percentage and detecting requirements without tests. Calculates coverage per requirement (REQ-*) and overall. Use as quality gate or continuous coverage monitoring.
Tag logs, metrics, and distributed traces with REQ-* keys for production traceability. Enables backward traceability from runtime issues to requirements to intent. Use when deploying code or setting up observab...
Toolkit for interacting with and testing React Native + Expo mobile applications on iOS and Android. Supports verifying app functionality, debugging UI behavior, running the development server, and testing mobi...
Expert-level performance optimization, profiling, benchmarking, and tuning
Expert-level monitoring and observability with Prometheus, Grafana, logging, and alerting
Expert-level code review focusing on quality, security, performance, and maintainability. Use this skill for conducting thorough code reviews, identifying issues, and providing constructive feedback.
Expert-level TypeScript development with modern tooling, advanced types, and best practices. Use this skill for TypeScript projects requiring type-safe code, modern bundling, and comprehensive testing.
Expert-level Python programming with PEP 8 standards and modern best practices. Use when writing Python code, debugging Python issues, explaining Python concepts, or reviewing Python code.
Expert-level Go development with Go 1.22+ features, concurrency, standard library, and production-grade best practices
Expert-level Prometheus monitoring, metrics collection, PromQL queries, alerting, and production operations
Master the art of making systems fast. Profiling, optimization, caching, and the wisdom to know when performance matters and when it doesn't. Measure twice, optimize once.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.