Skill UI

This skill manages the end-to-end lifecycle of cloud test execution using HyperExecute for platforms like LambdaTest/TestMu AI. It provides comprehensive functionality to analyze projects, generate and validate complex YAML configurations, run CLI jobs, and debug failures. Ideal for integrating robust, scalable, and matrix-based testing into CI/CD pipelines.

Riffkit analyzes the emotional structure, pacing, and successful 'formula' of a winning short video (like a viral TikTok). It then regenerates an entirely new, original video using this proven formula, customized with your product, character, and desired language (English or Spanish). This skill is ideal for creating high-quality, scalable User-Generated Content (UGC) ad creatives or marketing promos for platforms like TikTok and Meta.

This extension tracks how often your brand is cited or mentioned across leading Large Language Models (LLMs) like ChatGPT and Perplexity. It provides detailed time-series data, including citation rates and trend deltas (week-over-week, month-over-month). It is essential for SEO professionals to monitor brand authority and visibility within the rapidly evolving landscape of generative AI search results.

This skill helps generate comprehensive and structured TestNG test cases for Java. It supports advanced testing features crucial for enterprise automation, including method grouping, data-driven testing using @DataProvider, parallel execution setup, XML suite configuration, and custom listeners. Use it when building robust, scalable, and maintainable automated test suites.

This skill systematically scans Apple's comprehensive developer documentation, specifically targeting SwiftUI. It identifies deprecated APIs, finds their modern replacements, and updates the expert skill's reference guide. Use this when required to refresh deprecated features, check for new API deprecations after an iOS/Xcode update, or maintain the most current best practices for SwiftUI development.

Use this skill to define and set up self-running, recurring marketing workflows (loops). Instead of one-off tasks, these loops operate on defined cadences (weekly, daily, on-trigger), acting as always-on systems for continuous monitoring and optimization. It orchestrates multiple marketing skills—like SEO scanning, ad fatigue checks, and churn detection—to maintain marketing momentum and efficiency.

A comprehensive guide covering standards for building highly maintainable Flutter applications using Dart. It details best practices across architecture (MVVM, layered design), state management (Cubit/BLoC), folder structure, widget implementation, and testing strategies. Use this skill when writing new code, reviewing existing codebases, or planning complex features to ensure scalable and clean development.

The Agent Harness provides a robust, verifiable loop structure for driving complex goals across specialized domains. It converts a high-level objective into a verifiable task plan, executes tasks sequentially using domain-specific tools, and rigorously verifies every step with machine-run checks. The system includes mechanisms for retries, budget management, and mandatory human escalation, ensuring no goal is closed until all progress is verifiably complete or explicitly waived.

This skill guides the safe, systematic, and at-scale refactoring of existing Go codebases. It ensures that structural changes maintain observable behavior by following a rigorous process: mapping blast radius, strengthening safety nets (tests), applying small tool-driven transforms, and committing changes atomically via staged PRs. Ideal for cleaning up large functions, resolving code smells, renaming packages, or tackling complex architectural improvements in Go.

This comprehensive guide outlines industry best practices for designing robust and consistent REST APIs. It covers proper resource naming conventions, standardized HTTP method semantics, detailed HTTP status codes (e.g., 201, 404, 422), structured response formats (including pagination and links), and advanced strategies like cursor-based pagination. Essential for building scalable and maintainable APIs.

This tool automatically generates comprehensive API documentation directly from source code, supporting TypeScript and JavaScript. It scans all public exports (functions, classes, interfaces) and extracts detailed JSDoc annotations. Furthermore, it can generate structured OpenAPI 3.0 specifications for HTTP endpoints, ensuring all public APIs are documented and compliant with industry standards.

A comprehensive guide covering scalable backend architecture patterns, including Repository, Service, and Middleware design. It details best practices for building robust APIs using Node.js, Express, and Next.js. Topics covered include RESTful API structuring, database query optimization (preventing N+1 issues), implementing database transactions, and integrating caching strategies like Redis. This guide is essential for developing high-performance, maintainable server-side applications.