Skill UI

This comprehensive guide catalogs common anti-patterns and mistakes when deploying applications on Vercel. It covers critical architectural areas such as secret management (preventing key exposure), optimizing serverless function performance (cold start, timeouts), adhering to Edge Runtime standards, and resolving configuration errors. Use this skill for code reviews, security audits, and onboarding new developers to ensure best deployment practices.

This guide outlines common anti-patterns and critical mistakes when using the Windsurf AI IDE. It covers best practices for prompt engineering, managing workspace scope (especially in monorepos), distinguishing between Supercomplete and Cascade usage, and ensuring safe, maintainable AI-assisted coding workflows. Essential for new developers and team auditors.

Automatically monitors YAML workflows to validate syntax, infer schemas, convert formats, and harden Kubernetes/Docker Compose/CI configurations while spotting anti-patterns and security gaps.

Systematically audit Playwright test files against documented anti-patterns, rate their quality, and summarize findings so teams can fix flaky or under-tested scenarios before release.

Analyzes behavioral reports from security sandboxes (Cuckoo, AnyRun) to detect advanced anti-analysis and evasion techniques. It specifically identifies indicators such as timing checks, hypervisor artifact queries, user interaction patterns, and environment fingerprinting. This tool is essential for threat hunting, enhancing detection rules, and conducting deep malware triage.

Summarizes the Test-Driven Development workflow with RED/GREEN/REFACTOR phases, the AAA pattern, prioritization cues, anti-patterns, and AI-augmented agent roles to guide implementation.

This skill provides comprehensive guidance on idiomatic Go patterns for building production-ready, robust applications. It covers best practices like functional options, proper constructor design, resource management (timeouts, graceful shutdown), error handling, concurrency patterns, and architectural styles (DDD, Hexagonal). Use it when structuring complex Go APIs, defining service boundaries, or auditing existing code for common anti-patterns and performance pitfalls.

A comprehensive guide and skill set for optimizing Go (Golang) application performance. It establishes a core philosophy of profiling before optimizing, focusing on reducing allocations, improving CPU efficiency, and addressing structural anti-patterns. Provides systematic modes for deep review (hot path, architecture review) and follows an iterative methodology (Benchmark -> Diagnose -> Improve -> Compare) to ensure measurable and stable performance gains.

Showcases Django project layout, ORM/query tuning, DRF serializer validation, signal usage, middleware timing and anti-patterns to keep apps maintainable and performant.

This comprehensive guide outlines best practices for writing high-quality, scalable, and maintainable code in .NET/C#. It covers core architectural principles, including SOLID, dependency injection, and design patterns (e.g., Command Handler). Furthermore, it addresses modern challenges such as structured logging, async/await patterns, secure coding, robust testing standards, and advanced AI integration using Semantic Kernel.

Provides a comprehensive reference for migrating deprecated and unsafe class component lifecycle methods (such as componentWillMount, componentWillReceiveProps, and componentWillUpdate) to modern, React 18 compliant patterns. This guide is essential when updating legacy codebases, helping developers correctly identify the semantic purpose of the method and choose the correct replacement hook (e.g., componentDidMount or getDerivedStateFromProps), thus preventing common migration errors.

This skill provides comprehensive guidance for building and refining applications, plugins, and function-calling flows using the Semantic Kernel framework. It supports multiple languages, including .NET and Python. Guidance emphasizes consulting the latest official documentation, adhering to best practices (like async patterns and strong typing), and correctly handling multi-ecosystem development.