Skill UI

This file is currently undergoing Japanese localization for the production scheduling functionality. It serves as a placeholder for the Japanese translation and refers to the original English skill file for the core logic and details.

This file serves as a placeholder for the Japanese translation (localization) of the 'project-flow-ops' module. It indicates that the translation is currently in progress. Users should refer to the original English skill file for the core functionality and detailed usage instructions.

This skill provides guidance on implementing common architectural patterns and best practices within the PyTorch framework. It is designed for developers building sophisticated deep learning models, helping to improve structure, efficiency, and code maintainability when working with neural networks.

A comprehensive guide detailing advanced performance optimization patterns for React 18/19 and Next.js. Adapted from Vercel Engineering's best practices, this skill organizes 70+ critical rules across eight categories—including eliminating waterfalls, optimizing bundle size, improving server-side rendering, and managing client-side re-renders. Use this when developing, reviewing, or refactoring high-performance React applications.

This skill provides a structured framework for designing and implementing composable recommendation, ranking, and feed pipelines. It models the industry-standard six-stage pattern: Source, Hydrator, Filter, Scorer, Selector, and SideEffect. Use it for any system that selects "the top K items for a (user, context)", such as social feeds, ad ranking, RAG rerankers, or content recommendation engines, ensuring a robust and scalable architecture.

This skill is designed for complex, iterative decision-making processes requiring deep computation, such as stochastic optimization, high-dimensional search, or repeated model rollouts. It mandates the creation of a structured 'Ledger' to rigorously record every trial, prior winner, fresh information, and decision mark. It ensures that conclusions are based on durable evidence, managing risk through explicit promotion gates and preventing premature certainty.

A comprehensive guide covering best practices for creating videos using Remotion and React. Learn how to incorporate advanced features such as 3D rendering (Three.js), complex animations, audio synchronization, data charting, subtitles, and sophisticated scene transitions. This skill covers 29 domain-specific rules for professional video pipelines.

This skill acts as an expert design system guideline author for the Roku brand. It provides structured, implementation-ready guidance covering style foundations, component anatomy, accessibility (WCAG 2.2 AA), and advanced authoring workflows. It ensures consistent, developer-first UX/UI design principles for modern dashboards.

Scan installed skills, extract shared cross-domain principles, and distill them into reusable rules. Supports appending, revising, or creating rule files during regular maintenance or after skill inventory updates.

This skill provides deep insights into idiomatic Rust development. It covers core concepts like ownership and borrowing to prevent data races, robust error handling using `anyhow` and `thiserror`, advanced pattern matching with enums, and utilizing traits and generics for safe abstraction. Master these patterns when writing or refactoring complex, high-performance, and reliable Rust applications.

The Safety Guard skill is designed to prevent destructive actions when working in production systems or when autonomous agents are executing tasks. It offers three protection modes (Careful, Freeze, and Guard) to monitor dangerous commands, lock specific directories, and ensure code changes are confined to intended areas, enhancing system stability and security.

A structured workflow designed to prevent 'reinventing the wheel.' Before writing custom code, this skill guides the user through analyzing needs, conducting parallel searches across multiple channels (npm, PyPI, GitHub, MCP), evaluating candidate solutions based on maintainability and community support, and making a decision (Adopt, Extend, or Custom Build). It ensures that solutions leverage existing, proven libraries and patterns.