Skill UI

This guide provides comprehensive best practices for creating high-quality videos using Remotion within a React environment. It covers advanced techniques for dynamic content generation, including integrating 3D models (Three.js), managing diverse assets like audio, video, and fonts, implementing complex animations, data visualization, and generating precise captions. Use this skill when developing professional, robust video generation workflows in React.

This skill guides users to create a new Remotion video project from scratch. It covers scaffolding the project structure, installing dependencies, designing video compositions using React, configuring preview servers, and rendering the final video output. It is suitable for developers building video content with Remotion tools.

Search and retrieve Remotion documentation using Algolia API and Markdown URLs. Helps developers find accurate API references and implementation guides for video creation tasks without memorizing details. Supports workflow for discovering current docs and fetching source code.

This skill helps developers resolve conflicts during Git merge or rebase operations. It guides users to check the current state, identify primary sources of changes, and resolve each conflict hunks while preserving intent. It emphasizes running automated checks like type checking and tests before finalizing the merge. This ensures code integrity and prevents breaking changes in the project.

Rex translates vague user intent into precise, unambiguous specifications. It extracts core problems, defines audiences, identifies edge cases, and produces structured reports with user stories, constraints, and open questions. Ideal for clarifying requirements before development.

This skill provides best practices for designing reusable Makepad widgets based on Robrix and Moly codebase patterns. It covers production-ready patterns like modal overlays, collapsible sections, drag-and-drop, and dynamic styling. Ideal for creating component APIs and optimizing view caching in Rust-based UI development.

RouterBase acts as a unified, OpenAI-compatible API gateway, allowing applications to route requests across diverse large language models (LLMs) like GPT, Claude, and Gemini. It helps developers migrate existing OpenAI SDK calls, implement sophisticated primary/fallback model selection based on cost, latency, and quality, and manage multimodal payloads (image, audio, video) from a single, standardized endpoint.

A skill providing language-specific super-code guidelines for Ruby, covering enumerable collections, blocks, string handling, error handling, classes/modules, idioms, and anti-patterns. Ideal for developers writing idiomatic, efficient Ruby code.

This skill enables writing idiomatic Ruby code using metaprogramming and Rails patterns. It covers gem development, performance optimization, and testing frameworks like RSpec. Ideal for building maintainable applications and ensuring code quality through static analysis tools.

This skill executes the DeepSWE benchmark, a comprehensive coding-agent evaluation suite. It uses OpenRouter and mini-swe-agent to score various Large Language Models (LLMs) on 113 tasks, providing reproducible results for model comparison, development assessment, and research benchmarking. Use this when a standardized, deep evaluation of LLM coding capabilities is required.

The RunAPI CLI serves as the dedicated execution layer for interacting with RunAPI's suite of advanced AI models. It allows developers to programmatically generate multimodal content, including images, videos, and music/audio, directly from the terminal or CI/CD pipeline. Users can submit one-off jobs, manage asynchronous tasks, and pass complex JSON request bodies to various services like Suno, Claude, and Gemini, making it essential for robust AI automation workflows.

This skill provides comprehensive guidelines for writing idiomatic and efficient Rust code. It covers key topics such as ownership, borrowing, error handling, iterators, pattern matching, structs, enums, and concurrency. It helps developers avoid common anti-patterns and adopt best practices for production-ready Rust applications.