Skill UI

This guide outlines robust architectural patterns for building complex administrative extensions within a React environment. It enforces strict separation of concerns by dividing logic into two main layers: Headless Features (business logic, using UseCase/Repository/Gateway) and Presentation Features (UI components, Presenters, and hooks). Following these patterns ensures highly maintainable, testable, and scalable codebases, promoting clean architecture principles for web applications.

This guide details the UseCase pattern, an architectural pattern used to encapsulate specific business operations within the Webiny framework. Learn how to define UseCases as injectable dependencies, manage input and output using the structured Result<T, E> type, and implement robust, domain-specific error handling. Mastering this pattern is crucial for building highly modular, testable, and maintainable backend APIs.

This skill is designed for tackling complex, multi-step software development tasks. It generates highly detailed, structured implementation plans that strictly adhere to best practices like TDD, YAGNI, and DRY. The plan breaks down features into small, atomic, executable tasks, specifying required file changes, writing initial failing tests, implementing minimum necessary code, and committing. It ensures the resulting plan is ready for efficient, autonomous execution by AI agents or human teams.

XcodeBuildMCP is a unified skill set designed to streamline the entire mobile and desktop development lifecycle. It replaces raw command-line tools like xcodebuild, xcrun, and simctl, providing structured workflows for iOS, macOS, watchOS, tvOS, and visionOS. Capabilities include project discovery, managing simulator and physical device workflows, advanced UI automation (gestures, view inspection), robust logging, and deep debugging using LLDB. It simplifies complex build, test, and run operations across multiple platforms.

The official skill for the XcodeBuildMCP CLI, providing a unified interface for complex Apple development tasks. It streamlines build, test, run, debug, and UI automation across iOS, macOS, watchOS, tvOS, and visionOS. Use this tool to simplify multi-stage workflows and manage project lifecycles without relying on raw, complex xcodebuild commands.

This comprehensive guide serves as a decision flowchart for developers using Claude Code. It details when to use specific slash commands (/plan, /compact, /loop), select specialized agents (planner, code-reviewer, build-error-resolver), or invoke workflow skills (e2e-testing, tdd-workflow). It helps users select the optimal tool combination for complex tasks across the entire software development lifecycle, including feature planning, bug fixing, testing, and architectural design.

Captures complete, full-page screenshots of any modern web page using the Chrome DevTools Protocol (CDP). Unlike standard tools, this utility handles Single Page Applications (SPAs), scrolling content, lazy-loaded images, and complex scroll containers, ensuring the entire visible content is captured in a single, high-fidelity PNG file. Ideal for documenting complex web flows and testing.

This skill performs comprehensive, feature-level integration validation after all associated development tasks are implemented. It goes beyond checking individual tasks to ensure cross-task consistency, full test suite passage, and complete specification coverage. It validates data flow, architectural adherence, and performs critical security scans for residual issues (e.g., TODOs, hardcoded secrets), providing a holistic GO/NO-GO assessment for deployment. Use this skill as a final quality gate to verify that the completed feature set respects the designed boundaries and dependencies end-...

A reflection-based Dependency Injection (DI) container for Go. It is designed to facilitate the wiring of complex object graphs during application startup. Developers can use `Provide` to register constructors and manage dependencies using structures like `dig.In` and `dig.Out`. It supports named values, value groups, and interfacing, making it ideal for building robust, scalable, and highly testable Go applications and libraries.

This skill pulls the latest GEO-SEO components, including skills, agents, scripts, and schema templates, from the official upstream repository. It performs a detailed comparison (diff) to show all changes—new, modified, or removed—before applying the update. It ensures local customizations are preserved while keeping the toolkit current. Use this whenever you suspect your local setup might be outdated.

Squirrel is an advanced, full-cycle AI coding skill designed to guide software development from concept to production. It automatically detects the current project state (greenfield, in-progress, or mature) and adapts an 8-phase engineering pipeline. This comprehensive workflow covers planning, building, rigorous testing, bug hunting, code polishing, documentation, and deployment readiness, ensuring high-quality, maintainable results.

A systematic, multi-phase guide for tackling hard bugs and performance regressions. It mandates building a robust feedback loop (e.g., failing tests, harnesses), formulating falsifiable hypotheses, targeted instrumentation, and rigorous regression testing. This methodology ensures that debugging efforts are structured, efficient, and highly reproducible, making it ideal for complex software defects.