Skill UI

Provides comprehensive guidelines on using Go's `context.Context` for managing request lifecycles. Learn how to correctly propagate cancellation signals, enforce deadlines, handle timeouts, and safely pass request-scoped values across API boundaries (HTTP handlers, services, databases). Essential reading for writing resilient and robust concurrent Go applications.

A comprehensive guide for writing robust, idiomatic, and production-ready error handling in Go. This skill covers best practices for error creation, wrapping (using %w), inspection (errors.Is/As), combining errors (errors.Join), and structured logging with slog. It promotes reliable code by enforcing principles like the single handling rule and contextual logging, crucial for building scalable applications.

Improves Go error handling by treating errors as structured data. This utility adds critical context—such as domain, user IDs, stack traces, and machine-readable error codes—to standard Go errors. This capability is vital for enhancing observability, enabling APM tools (like Sentry or Datadog) and on-call engineers to diagnose complex issues quickly without relying on manual log correlation.

A type-safe, generics-first library for implementing ReactiveX streams in Golang. It provides declarative, composable pipelines for handling infinite, asynchronous data sources (like WebSockets or timers) with automatic backpressure, robust error propagation, and full Go context integration. Ideal for building real-time, event-driven architectures.

This comprehensive guide teaches the correct usage of the Flutter `provider` package for state management. It covers setting up various provider types (immutable, mutable, future, stream) and emphasizes best practices for consuming state safely using `context.watch`, `context.read`, and `Selector`. Learn how to use `ProxyProvider` for dependency injection and maintain robust, scalable Flutter applications.

This tool generates highly standardized and ultra-compressed commit messages following the Conventional Commits specification. It ensures that commits are concise, professional, and adhere to strict formats (e.g., type(scope): summary). It intelligently generates a body only when the context (like breaking changes or complex reasoning) requires it, significantly reducing noise and maintaining a clean, clear project history.

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 tool generates a comprehensive context map of a codebase before making any modifications. It guides developers to systematically analyze all relevant files, dependencies, existing tests, and common patterns. Use it to assess the full scope of a task, identify potential breaking changes, and ensure a robust and stable development cycle.

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 comprehensive guide covers best practices for building robust database systems. It teaches crucial concepts like schema normalization, effective indexing strategies, selecting the right database (e.g., SQLite vs PostgreSQL) and ORM, and optimizing queries to prevent common performance issues like N+1 problems. It emphasizes making context-aware architectural decisions.

This expert system generates a comprehensive and best-practice-oriented .editorconfig file. It analyzes the project structure and user preferences to enforce coding style consistency (e.g., spaces vs. tabs, indentation size, line endings, trailing whitespace) across diverse IDEs and text editors. Essential for maintaining clean, standardized code across development teams and version control systems.

This comprehensive guide provides best practices for developing robust and efficient data access layers using Entity Framework Core. It covers critical areas including DbContext design, performance optimization (e.g., AsNoTracking, Select projection), secure querying techniques, migration strategies, and testing methodologies, ensuring the creation of scalable and maintainable applications.