Skill UI

Use this powerful skill to perform advanced, multi-modal video generation and editing using the official google-genai SDK. Capabilities include generating realistic videos from text prompts (Text-to-Video), animating scenes from a single input image (First-Frame-to-Video), and applying style or character references from images. It also supports complex video refinement, inpainting, and optimizing source footage for professional creative workflows.

This guide details best practices for implementing robust, type-safe GraphQL queries and mutations. It covers using separate .gql files, running code generation tools, and implementing mandatory error handling (onError) and loading states. Use this when building complex, reliable data fetching layers with Apollo Client.

Automates the creation and publication of polished, functional Gradio demos on Hugging Face Spaces for any user-provided LoRA model. This skill handles the complex workflow of designing the optimal UI, selecting the correct inference pipeline (e.g., text-to-image, video-to-video), and generating all necessary files (app.py, requirements.txt, README.md) to deploy a complete, ready-to-use AI playground.

This skill is designed to accurately convert complex, Hugo-managed documentation sites and content into standard Markdown format. It goes beyond generic knowledge by inspecting the entire local Hugo repository structure, including `hugo.toml`, custom shortcodes, layouts, and content files. It preserves the original content's semantic meaning while materializing Hugo-specific constructs into clean Markdown.

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.

This skill generates comprehensive unit and integration tests using Jest for JavaScript and TypeScript. It supports advanced testing patterns, including deep mocking, asynchronous handling, snapshot testing, and testing React components with Testing Library. Use it when the user needs to thoroughly validate application logic and behavior.

A comprehensive guide and generator for writing robust, production-grade unit and integration tests using JUnit 5 in Java. It covers advanced features like parameterized tests, Mockito mocking, lifecycle management, and nested test structures. Use this skill when you need to write clean, reliable, and highly structured Java test suites.

This specialized guide assists service-area businesses (e.g., plumbing, HVAC, appliance repair) in mastering local SEO. It provides comprehensive strategies for auditing Google Business Profiles (GBP), generating high-ranking neighborhood service pages, ensuring NAP consistency, and implementing local schema markup to dominate the Google Map Pack.

This skill generates a detailed, step-by-step, interprocedural execution trace for a given piece of code and specific input scenario. It resolves name ambiguities, tracks type transitions, and highlights non-obvious behaviors (like implicit coercions or side effects). Use it when a user is confused about how code behaves, allowing for a deep dive into the actual execution path to clarify assumptions versus reality.

This skill provides an autonomous, repository-wide pipeline for auditing and fixing complex logical inconsistencies. It systematically executes stages including health checks, deep review, locating divergences, generating fixes, and performing diff-verification until the codebase is deemed clean. Ideal for maintaining high code quality and resolving deep, systemic bugs across entire projects.

This advanced skill performs code review by simulating the documented engineering philosophies of historical figures (e.g., Linus Torvalds, Steve Jobs, Ken Thompson). It moves beyond generic AI findings by grounding critiques in specific, citable principles—such as 'good taste' or 'customer experience.' Ideal for high-stakes PRs, architectural reviews, and ensuring deep, pre-submission code hardening.

Generate comprehensive, ready-to-use CI/CD pipeline configurations for running automated API tests using Newman. This skill provides templates for major platforms like GitHub Actions, GitLab CI, Jenkins, and Azure DevOps. It ensures seamless integration of Postman collections into automated build processes, including setting up environment variables, running tests, and publishing detailed JUnit and HTML reports.