Skill UI

A comprehensive guide to structuring Flutter applications using a feature-first, layered architecture. It defines clear separation of concerns across UI, Logic (Domain), and Data layers, ensuring maintainability and testability. This approach guides developers on organizing code by feature modules, making it ideal for building complex, scalable, and long-lived applications while remaining agnostic to specific state management solutions.

This skill provides comprehensive guidance for setting up production-grade Continuous Integration/Continuous Deployment (CI/CD) pipelines for Go projects using GitHub Actions. It covers all critical stages, including rigorous unit testing with race detection, advanced linting, static application security testing (SAST) via tools like CodeQL and govulncheck, automated dependency management (Dependabot/Renovate), container image building, and automated binary release using GoReleaser. Use this when building a robust quality gate for a Go codebase.

This guide provides comprehensive best practices for Go code quality using the industry-standard `golangci-lint` tool. It covers the full development workflow, including initial setup and configuration of `.golangci.yml`, running linters (like govet, staticcheck), automatically fixing issues, correctly suppressing warnings using `//nolint` directives, and interpreting complex linter output to ensure high code maintainability and security.

This comprehensive guide provides best practices for structuring and initializing Golang projects. It covers standard layouts for various project types (CLI tools, microservices, libraries, monorepos), adhering to 12-Factor App principles, and mastering Go module naming conventions. Use this resource when starting a new Go project or refactoring an existing codebase to ensure scalability, maintainability, and architectural soundness.

Adds samber/oops structured error builders to Go services, giving stack traces, codes, user-friendly messages, panic recovery, and exporter-friendly attributes for observability and diagnostics.

This tool generates ultra-compressed, standardized commit messages adhering strictly to the Conventional Commits specification. It analyzes code changes (diffs) to extract the core intent, structuring the output into a precise subject line and an optional body. It ensures that commit history remains clean, highly readable, and instantly understandable, significantly reducing noise and maintaining professional version control standards.

Streamlines the process of providing code review feedback by enforcing a highly structured, ultra-compressed format. It guides users to cut through noise and deliver actionable, single-line comments (Location: Problem. Fix.) while maintaining critical context like severity and technical rationale. Ideal for team settings prioritizing efficiency and high code quality.

This comprehensive guide provides detailed procedural steps for configuring and executing CodeQL code scanning. It covers both implementing automated workflows using GitHub Actions (`codeql.yml`) and running scans via the CodeQL CLI. Users will learn how to manage language matrices, set build modes, interpret SARIF outputs, handle monorepo structures, and troubleshoot complex security analysis setups across multiple languages (e.g., Python, Java, C++).

Copilot Spaces allow users to consolidate and manage project-specific knowledge, including documentation, code snippets, architectural standards, and operational instructions. By loading a Space, Copilot grounds its responses not just on general knowledge, but on the curated, authoritative context of the entire project, enabling accurate Q&A, code generation, and workflow execution based on team standards. Ideal for onboarding, large-scale projects, and maintaining consistency.

This guide provides comprehensive best practices for writing robust and high-performance asynchronous code in C#. It covers naming conventions, optimal return types (Task, ValueTask), advanced patterns like the async command pattern, proper exception handling, and crucial performance considerations (e.g., using Task.WhenAll() and avoiding deadlocks with ConfigureAwait(false)). Ideal for developers looking to master modern C# concurrency.

A comprehensive guide for resolving complex timezone issues in .NET and C# applications. It provides production-safe patterns for handling location lookups, converting between Windows and IANA timezone IDs, managing Daylight Saving Time (DST), and ensuring cross-platform compatibility. Includes ready-to-use code snippets for TimeZoneInfo, NodaTime, and DateTimeOffset.

This guide outlines comprehensive best practices for documenting Java code using Javadoc comments. It covers how to properly document public, protected, package-private, and private members, along with the correct usage of various tags like @param, @return, @throws, @see, and specialized syntax for code snippets and versioning. Following these standards ensures API documentation is accurate, maintainable, and adheres to professional Java development norms.