Skill UI

This comprehensive guide covers advanced Dart 3 features, including pattern matching, exhaustive switch expressions, and records. Learn how to refactor complex if-else chains, perform type-safe destructuring from various data sources (maps, lists, records), and utilize modern control flow constructs for writing idiomatic, robust, and highly maintainable Dart code.

A comprehensive guide detailing how to integrate and use Firebase Cloud Storage within Flutter applications. Covers the entire lifecycle of file operations, including uploading assets, downloading data, managing custom metadata, handling various Firebase errors, monitoring upload progress, and enforcing robust security rules.

This guide provides comprehensive solutions for common Flutter runtime and layout errors, such as RenderFlex overflow, unbounded constraints, and improper state management (setState during build). It explains the cause, the specific error message, and provides actionable code fixes for various UI and state issues.

A comprehensive guide for Go developers covering the entire performance measurement lifecycle. Learn how to write rigorous benchmarks using b.Loop(), track memory allocations, run tests with various flags (e.g., -benchmem, -cpuprofile), and analyze results using profiling tools like pprof and benchstat. Ideal for ensuring code stability, detecting regressions, and optimizing critical paths.

A comprehensive guide for adhering to idiomatic Go code style. It covers best practices for line breaking, variable declaration, explicit initialization of composite types, and improving control flow clarity. Use this skill when reviewing or writing Go code to ensure maximum readability and maintainability, going beyond what automated linters can enforce.

This comprehensive guide covers structured concurrency patterns in Go, focusing on goroutines, channels, mutexes, and various sync primitives. It provides principles for writing, reviewing, and auditing concurrent code to ensure leak-freedom, correct ownership management, and robust error handling, covering topics like context propagation and race condition avoidance.

A comprehensive guide for advanced Go developers, detailing the internals, optimal usage, and performance pitfalls of core data structures like slices, maps, and arrays. It covers capacity growth mechanics, preallocation strategies using `make` and `slices` package functions, and best practices for choosing between various standard library containers (e.g., `strings.Builder` vs `bytes.Buffer`). Essential for writing highly efficient, memory-safe Go code.

A comprehensive guide detailing recommended naming conventions for various Go language elements, including packages, structs, interfaces, constants, functions, and error handling. Use this skill when writing, reviewing, or refactoring Go code to ensure adherence to idiomatic Go style.

A type-safe dependency injection toolkit specifically designed for Go. It provides a robust service container for managing application dependencies, supporting various service lifecycles (Lazy, Eager, Transient, Value). This tool helps developers establish clean composition roots, manage complex service relationships, and organize large-scale Go projects following best architectural practices.

A comprehensive, generics-first utility library for Go, providing over 500 type-safe, functional helpers (like Map, Filter, Reduce, GroupBy) for slices, maps, and channels. Designed to replace manual, verbose loops with declarative code. It supports immutable operations by default and offers progressive complexity variants (lo, lop, lom, loi) to handle different performance needs, from standard transforms to CPU-bound parallelism and lazy iteration. Ideal for writing clean, maintainable, and performant Go code.

A comprehensive collection of composable handlers and middlewares for Go's standard slog package. This skill enables developers to build robust, multi-stage logging pipelines by implementing critical steps like log sampling (throughput control), attribute formatting (PII stripping), advanced routing, and sinking logs to various professional backends (e.g., Sentry, Loki, Datadog). Ideal for production-grade services requiring high observability.

A robust CLI tool for connecting to Lark/Feishu real-time events. It allows streaming, subscribing, and consuming various events (e.g., IM messages, reactions, meeting updates) as NDJSON output. Ideal for developing Lark bots, building real-time message processors, or implementing long-running streaming webhook handlers, especially in AI agent subprocesses.