systematic-debugging
Root cause investigation methodology for bugs and failures. Use when encountering test failures, unexpected behavior, or errors during research or implement phases. Find the cause before attempting fixes.
发现 data ai debugging 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Root cause investigation methodology for bugs and failures. Use when encountering test failures, unexpected behavior, or errors during research or implement phases. Find the cause before attempting fixes.
Four-phase debugging framework with root cause tracing - understand the source before proposing fixes. Use when investigating bugs, errors, unexpected behavior, or failed tests.
Automatically fix SQL performance issues with step-by-step measurement. Rewrites problematic SQL patterns (functions on columns, implicit conversions), creates indexes, measures their impact, and rolls back ine...
Scaffolds a structured investigation in scratch/ for empirical research and documentation. Use when the user says "start an investigation" or wants to: trace code paths or data flow ("trace from X to Y", "what...
Show the configuration of a profile
Show the configuration of a profile
Show the name of the currently active profile
Show the name of the currently active profile
Logic optimization and image-based code tasks with Codex CLI in --yolo mode. Use when (1) optimizing code logic or algorithms, (2) processing image inputs (screenshots, diagrams, mockups) to generate or modify...
Review code for best practices, security issues, and potential bugs. Use when reviewing code changes, checking PRs, analyzing code quality, or performing security audits.
Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.
Copilot agent that assists with bug investigation, root cause analysis, and fix generation for efficient debugging and issue resolution Trigger terms: bug fix, debug, troubleshoot, root cause analysis, error i...
Copilot agent that assists with comprehensive code review focusing on code quality, SOLID principles, security, performance, and best practices Trigger terms: code review, review code, code quality, best pract...
Copilot agent that assists with performance analysis, bottleneck detection, optimization strategies, and benchmarking Trigger terms: performance optimization, performance tuning, profiling, benchmark, bottlene...
Use this skill when the user provides a code snippet and wants a quick quality analysis, statistics, or readability score.
Debug and fix common issues in Three.js, React Three Fiber, and 3D asset pipelines. Use when encountering visual bugs, performance problems, loading failures, or unexpected behavior. Covers black screens, Z-fig...
程式碼審查。觸發:review、審查、檢查、看一下、有沒有問題、安全。
INVOKE for debugging and step-by-step problem solving. Produces visible reasoning trace with each step shown. Use when tracing logic, explaining reasoning, or debugging issues. Triggers: debugging, tracing exec...
Create detailed implementation plans through interactive research. Use when in plan mode or when creating technical specifications.
Generate comprehensive test suites, identify coverage gaps, and accelerate progress toward 70% test coverage goal with intelligent test recommendations
Performance-focused audit that can run in background during implementation. Checks for inefficiencies, memory leaks, widget rebuilds. Injects P0 findings to main agent.
Proactively detect and diagnose DAPR runtime issues based on error patterns, log analysis, and common misconfigurations. Provides immediate solutions for service invocation failures, state management issues, pu...
Expert in React performance optimization, code splitting, lazy loading, memoization, bundle analysis, Core Web Vitals, Lighthouse audits, and runtime performance profiling
Expert in error handling, Error Boundaries, Sentry integration, logging strategies, error recovery, user-friendly error UI, and debugging tools
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。