Skill UI

A comprehensive skill guide for implementing all forms of data fetching and networking in React Native/Expo environments. Covers best practices for using the native fetch API, managing state with React Query (TanStack Query), implementing robust error handling with retry logic, handling offline scenarios, and securely managing authentication tokens. Essential for building reliable, scalable mobile applications that interact with external APIs.

A comprehensive guide to building robust, maintainable, and idiomatic Perl applications using modern features (Perl 5.36+). This resource covers best practices for object-oriented programming (Moo/Moose), advanced error handling (Try::Tiny), context sensitivity, complex regex usage, and efficient module design.

A comprehensive design specification detailing 98 rules for building Command Line Interface (CLI) tools that are safe, reliable, and easily consumable by AI agents. It covers structured JSON output formats, standardized error handling (to stderr), robust input contracts, safety guardrails (e.g., preventing path traversal), and tiered compliance levels (Agent-Friendly, Agent-Ready, Agent-Native) for seamless integration into AI workflows.

A comprehensive workflow and guide for reverse engineering malware compiled using the Rust language. It specifically addresses complex challenges unique to Rust binaries, including non-null-terminated fat-pointer strings, monomorphization artifacts, and intricate error handling chains (Result/Option). Ideal for security analysts and red teams performing deep analysis of modern, resilient attack artifacts.

A comprehensive guide to idiomatic Rust patterns and best practices for building safe, high-performance, and maintainable applications. Covers core concepts like ownership and borrowing, robust error handling using thiserror and anyhow, state modeling with enums, zero-cost abstraction via traits and generics, and safe concurrent programming practices.

Provides step-by-step guidance for activating and using the Example Skill, covering triggers, prerequisites, instructions, expected output, and error handling.

Guides configuring Firebase AI in Flutter, generating text/chat with Gemini, streaming responses, multimodal prompts, and handling errors with security considerations.

Comprehensive guide for implementing Firebase Authentication in Flutter apps. Covers setup, auth state management, email/password sign-in, social login, error handling, and security best practices for production-ready auth flows.

Use this skill to correctly set up Firebase Data Connect in Flutter apps. Covers schema and connector design, typed SDK generation, executing queries and mutations, real-time listeners, pagination, offline handling, error recovery, and security rules.

A practical guide for using Firebase Cloud Storage in Flutter apps. Covers setup, file upload/download, metadata management, error handling, progress monitoring, and security rules.

This skill provides comprehensive guidelines for structured concurrency in Go. It covers best practices for managing goroutine lifecycles, preventing leaks, and choosing between channels, mutexes, and atomic operations. It details patterns like fan-out/fan-in, error handling with `errgroup`, and deduplication with `singleflight`, ensuring correct and leak-free concurrent code.

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.