Best Codex and Copilot AI Skills
Top AI skills for GitHub Copilot and Codex. Code generation, review, testing, and refactoring skills for your development workflow.
📋 All 30 Skills
Understand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use when analyzi
codeMaster guide for using Claude Code effectively. Includes configuration templates, prompting strategies \\\"Thinking\\\"
codeYou are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition
codeComprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintain
codeElite code review expert specializing in modern AI-powered code
codeProfessional code review with auto CHANGELOG generation, integrated with Codex AI
codeBuild applications powered by GitHub Copilot using the Copilot SDK. Use when creating programmatic integrations with Cop
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codeMaster systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across a
codeUse when working with debugging toolkit smart debug
codeYou are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and dia
codeImplement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bott
codeMaster end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence,
codeYou are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions
codeUse when working with error debugging multi agent review
codeUse when working with error diagnostics smart debug
codeOrchestrate a comprehensive git workflow from code review through PR creation, leveraging specialized agents for quality
codeYou are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organi
codeYou are a PR optimization expert specializing in creating high-quality pull requests that facilitate efficient code revi
codeMaster Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applicati
code[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assiste
codeExpert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets
codeObserve and troubleshoot WhatsApp in Kapso: debug message delivery, inspect webhook deliveries/retries, triage API error
codeYou are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition
codeProfile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging sl
codeUse when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or techni
codeUse when completing tasks, implementing major features, or before merging to verify work meets requirements
codeMaster Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async
codeTest web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compati
codeImplement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use
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