Skill UI

A comprehensive guide for building robust, professional Go Command Line Interfaces (CLIs). Learn the industry-standard approach using Cobra for command structure and Viper for advanced configuration layering (flags, env vars, config files). Covers command organization, flag validation, argument handling, and best practices for Unix-like tools.

This guide outlines a structured methodology for decomposing large specifications or vague projects into small, verifiable, and ordered tasks. It teaches best practices like dependency mapping, vertical slicing, and defining explicit acceptance criteria, ensuring reliable project execution and a clear development path.

This comprehensive guide details the correct usage of the Flutter `provider` package, a widely adopted state management solution. It covers various provider types, including `ChangeNotifierProvider`, `FutureProvider`, and `StreamProvider`. Learn best practices for setting up state with `MultiProvider` and mastering state consumption techniques like `context.watch`, `context.read`, and `Selector`, ensuring efficient and type-safe application development.

This CLI alias implements the PUA Loop protocol, designed for running structured, iterative verification cycles. It helps developers set up and manage complex coding tasks that require explicit verification commands and defined stop conditions. It serves as a powerful wrapper for AI coding assistants like Codex/Claude, ensuring robust and traceable development workflows.

Security-first development practices for web applications. Covers threat modeling with STRIDE, OWASP Top Ten defenses, input validation, parameterized queries, authentication and session hardening, security headers, dependency auditing, and supply-chain risk assessment.

This meta-skill helps discover and apply the right engineering workflow skill for your current task. It organizes skills by development phase and guides you through processes like planning, implementation, testing, and deployment. It enforces core behaviors like surfacing assumptions, managing confusion, and verifying work to prevent common engineering mistakes and ensure quality.

A comprehensive workflow designed for Product Managers and technical leads to systematically identify, prioritize, and document missing features in a software project. It guides users through project understanding, gap analysis, applying a scoring matrix for prioritization, developing detailed Minimum Viable Product (MVP) specifications, and structuring the output as actionable development issues (e.g., GitHub Issues) with dependency mapping and workload optimization.

This tool analyzes your current git changes by examining the git status and git diff. It intelligently applies the Git Flow branching model to determine if the changes are for a new feature, a release preparation, or a critical hotfix. It then generates a semantically correct branch name and automatically switches to it, streamlining the development workflow and enforcing best practices.

This comprehensive guide outlines best practices for developing high-quality, idiomatic, and maintainable enterprise applications using Kotlin and Spring Boot. It covers architectural patterns, dependency injection using primary constructors, managing state with data classes, implementing robust RESTful APIs, handling transactions, and leveraging Kotlin features like null safety and Coroutines for asynchronous programming. It also provides guidance on modern testing strategies (Kotest, Testcontainers).

This tool generates a complete, production-ready project scaffold for a Model Context Protocol (MCP) server written in Ruby. It includes the necessary file structure, gem dependencies, Rake tasks, and boilerplate code for defining tools, prompts, and resources, accelerating backend development for AI applications.

Leverage AI-powered exploratory testing to thoroughly audit web applications and verify functionality. This skill simulates user interaction, detecting complex bugs, validating critical flows (like checkout or login), and checking accessibility compliance. Use it proactively after development to ensure quality before deployment.

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.