GitHub
newrelic
Monitor applications, investigate performance issues, and analyze observability data in New Relic. Use when the user needs APM metrics, error tracking, infrastructure monitoring, or incident analysis.
Skills IA development debugging
Découvrez les skills development debugging, comparez leurs dépôts et consultez leurs instructions.
Catégories: development debugging
development debugging Effacer les filtres
Explorer
GitHub
systematic-debugging
4-phase debugging framework preventing "guess-and-check" fixing. Load when debugging fails or for complex bug investigation.
GitHub
flowstorm-debugger
How to use the FlowStorm debugger to analyze Clojure/ClojureScript program executions. This skill teaches timeline exploration, value inspection, and debugging patterns using FlowStorm's recording API for runti...
GitHub
codebase-research
Conduct comprehensive research across the codebase to answer questions, explore solutions, or understand existing implementations. Use when researching a problem, designing a new feature that interfaces with ex...
GitHub
clojure
Clojure programming with naming guidelines and performance best practices. Use when writing or reviewing Clojure/ClojureScript code.
GitHub
root-cause-tracing
Systematically trace bugs and issues to their root cause using debugging techniques and analysis methods
GitHub
analyze-code
코드 종합 분석 (품질/보안/성능/아키텍처). Use when: (1) 코드 분석 요청, (2) 보안 취약점 스캔, (3) 성능 병목 식별, (4) 아키텍처 검토.
GitHub
circuit-breaker
무한 루프 및 토큰 폭주 방지를 위한 서킷 브레이커. Use when (1) 재귀 깊이 초과, (2) 동일 에러 반복, (3) 동일 파일 반복 수정, (4) 세션 시간 초과.
GitHub
debug-service
마이크로서비스 디버깅 및 로그 분석. Use when: (1) 서비스 에러 분석, (2) 로그 확인, (3) 헬스체크 실패 원인 파악, (4) DB 연결 상태 확인, (5) 환경변수 검증.
GitHub
lighthouse-optimization
Optimize web applications to achieve 95%+ Lighthouse scores across all categories. Use when optimizing performance, accessibility, best practices, or SEO for web applications.
GitHub
speed-monitoring
Performance monitoring and regression prevention. Lighthouse CI, performance budgets, Core Web Vitals monitoring, alerting. Keep sites fast over time.
GitHub
astro-performance
Core Web Vitals and performance optimization for Astro sites. LCP, CLS, INP optimization, bundle size, fonts, third-party scripts. Use for performance tuning.
GitHub
security-review
Identify security vulnerabilities, performance issues, and code quality problems through systematic analysis adapted to project's technology stack and domain. Use when reviewing code, assessing security, auditi...
GitHub
codebase-analysis
Universal methodology for discovering and adapting to any codebase's patterns, conventions, and architectural decisions. Automatically detects technology stack, learns project structure, and identifies coding s...
GitHub
cr-local
Local code review using CodeRabbit CLI. Use when user wants to review changes before committing or pushing.
GitHub
multi-review
Full project code review using multiple AI CLIs (Claude, Gemini, Codex). Use when user wants comprehensive multi-perspective code review.
GitHub
cyber-security-expert
网络安全与渗透测试专家，专注于漏洞分析、安全防护及代码审计。
GitHub
qa-tester
Comprehensive QA engineer that designs test strategies, writes test cases, identifies edge cases, and validates implementations. Use when writing tests, reviewing test coverage, planning QA strategy, identifyin...
GitHub
investigating-hms-internals
Investigates HEC-HMS internals through decompiled Java classes. Provides JythonHms API reference, CLI options, version-specific differences (3.x vs 4.x), and guides on-demand decompilation for new discoveries....
GitHub
test-generator
Generate comprehensive test suites including static analysis, unit tests, integration tests, E2E tests, and coverage reports. Triggers: TG, test, 測試, 寫測試, coverage, 覆蓋率, pytest, unittest, 驗證.
GitHub
code-reviewer
Comprehensive code review checking quality, security, and best practices. Triggers: CR, review, 審查, 檢查, check, 看一下, PR, code review, 品質.
GitHub
investigation-modes
Three explicit investigation modes: LEARNING (build understanding), INVESTIGATION (diagnose problems), SOLVING (implement fixes). Prefix messages with mode, ask before transitioning.
GitHub
code-flow-analysis
Trace code execution path before implementing fixes. Forces understanding of fn(args, deps) flows, Result types, and workflow composition. Prevents guessing by requiring file:line references and execution diagr...
GitHub
debugging-methodology
Evidence-based debugging with Iron Law discipline. Instrument before guessing, trace before theorizing. Use when encountering any bug, test failure, or unexpected behavior - before proposing fixes.
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.