Discover data ai debugging skills, compare source repositories and read the instructions for each workflow.
Portfolio analytics, metrics calculation, performance tracking, and dashboard data. Use when working with analytics code, files, or integration. Invoke when navigating analytics codebase, searching for analytic...
Use OpenAI Codex CLI to answer questions about code, analyze files, or perform read-only codebase exploration. Invoke this skill when the user asks to use Codex, wants a second opinion from another AI agent, or...
Use Google Gemini CLI to answer questions about code, analyze files, or perform codebase exploration. Invoke this skill when the user asks to use Gemini, wants a second opinion from another AI, or wants to comp...
Maximum search effort mode. Launch multiple parallel agents for exhaustive codebase and documentation search. Use when you need comprehensive search results.
Deep analysis mode. Gather comprehensive context before diving deep. Use for investigation, debugging, and understanding complex systems.
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.
4-phase debugging framework preventing "guess-and-check" fixing. Load when debugging fails or for complex bug investigation.
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...
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...
Clojure programming with naming guidelines and performance best practices. Use when writing or reviewing Clojure/ClojureScript code.
Systematically trace bugs and issues to their root cause using debugging techniques and analysis methods
코드 종합 분석 (품질/보안/성능/아키텍처). Use when: (1) 코드 분석 요청, (2) 보안 취약점 스캔, (3) 성능 병목 식별, (4) 아키텍처 검토.
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.
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.
Optimize web applications to achieve 95%+ Lighthouse scores across all categories. Use when optimizing performance, accessibility, best practices, or SEO for web applications.
Performance monitoring and regression prevention. Lighthouse CI, performance budgets, Core Web Vitals monitoring, alerting. Keep sites fast over time.
Core Web Vitals and performance optimization for Astro sites. LCP, CLS, INP optimization, bundle size, fonts, third-party scripts. Use for performance tuning.
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...
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...
Local code review using CodeRabbit CLI. Use when user wants to review changes before committing or pushing.
Full project code review using multiple AI CLIs (Claude, Gemini, Codex). Use when user wants comprehensive multi-perspective code review.
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。
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...
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....
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.