memory-leak-detection
Detect and fix memory leaks using heap snapshots, memory profiling, and leak detection tools. Use when investigating memory growth, OOM errors, or optimizing memory usage.
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Detect and fix memory leaks using heap snapshots, memory profiling, and leak detection tools. Use when investigating memory growth, OOM errors, or optimizing memory usage.
Analyze application and system logs to identify errors, patterns, and root causes. Use log aggregation tools and structured logging for effective debugging.
Implement distributed tracing with Jaeger and Zipkin for tracking requests across microservices. Use when debugging distributed systems, tracking request flows, or analyzing service performance.
Debug client-side issues using browser developer tools. Identify JavaScript errors, styling issues, and performance problems in the browser.
Assess, quantify, and prioritize technical debt using code analysis, metrics, and impact analysis. Use when planning refactoring, evaluating codebases, or making architectural decisions.
Implement error tracking with Sentry for automatic exception monitoring, release tracking, and performance issues. Use when setting up error monitoring, tracking bugs in production, or analyzing application sta...
Test web applications for WCAG compliance and ensure usability for users with disabilities. Use for accessibility test, a11y, axe, ARIA, keyboard navigation, screen reader compatibility, and WCAG validation.
Optimize web application performance using code splitting, lazy loading, caching, compression, and monitoring. Use when improving Core Web Vitals and user experience.
Debug database performance issues through query analysis, index optimization, and execution plan review. Identify and fix slow queries.
Detect unintended visual changes in UI by comparing screenshots across versions. Use for visual regression, screenshot diff, Percy, Chromatic, UI testing, and visual validation.
Perform comprehensive code reviews with best practices, security checks, and constructive feedback. Use when reviewing pull requests, analyzing code quality, checking for security vulnerabilities, or providing...
Profile CPU usage to identify hot spots and bottlenecks. Optimize code paths consuming most CPU time for better performance and resource efficiency.
Monitor database performance and health. Use when setting up monitoring, analyzing metrics, or troubleshooting database issues.
Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or setting up operational insights.
Conduct comprehensive web performance audits. Measure page speed, identify bottlenecks, and recommend optimizations to improve user experience and SEO.
Profile and optimize application memory usage. Identify memory leaks, reduce memory footprint, and improve efficiency for better performance and reliability.
Identify and debug performance regressions from code changes. Use comparison and profiling to locate what degraded performance and restore baseline metrics.
Profile application performance, identify bottlenecks, and optimize hot paths using CPU profiling, flame graphs, and benchmarking. Use when investigating performance issues or optimizing critical code paths.
Debug issues that occur sporadically and are hard to reproduce. Use monitoring and systematic investigation to identify root causes of flaky behavior.
Improve database query performance through indexing, query optimization, and execution plan analysis. Reduce response times and database load.
Debug network issues using browser tools and network analysis. Diagnose connection problems, latency, and data transmission issues.
Test system behavior under extreme load conditions to identify breaking points, capacity limits, and failure modes. Use for stress test, capacity testing, breaking point analysis, spike test, and system limits...
Create comprehensive troubleshooting guides, FAQ documents, known issues lists, and debug guides. Use when documenting common problems, error messages, or debugging procedures.
Analyze code complexity, cyclomatic complexity, maintainability index, and code churn using metrics tools. Use when assessing code quality, identifying refactoring candidates, or monitoring technical debt.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。