productivity▌

Deterministic control of cmux window, workspace, pane, and surface topology for multi-pane layout automation. \n \n Commands cover window and workspace creation, pane splitting, surface movement and reordering, focus routing, and visual attention cues via flash triggers \n Uses short reference handles (window:N, workspace:N, pane:N, surface:N) by default; supports UUID input and output when needed \n Designed for automation workflows requiring precise, repeatable placement and navigation across

Structures and writes formal academic research papers in IEEE or ACM format with proper citations and scholarly conventions. \n \n Guides paper creation through clarification of topic, scope, target venue, and formatting standard before drafting begins \n Enforces standard academic structure: abstract, introduction, related work, methodology, implementation, evaluation, discussion, conclusion, and references \n Applies formal writing conventions including third-person perspective, technical prec

Comprehensive code refactoring guide based on Martin Fowler's catalog and Clean Code principles, designed for AI agents and LLMs. Contains 43 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

Implement Progressive Web App features including service workers, caching strategies, offline support, and installation prompts for React and Svelte applications.

TanStack Query best practices for optimized data fetching, caching, mutations, and server state management in React. \n \n Covers 32 rules across 10 categories: query keys, caching strategies, mutations, error handling, prefetching, infinite queries, SSR integration, parallel queries, performance optimization, and offline support \n Each rule includes explanation, anti-patterns, recommended implementations, and contextual guidance for when to apply \n Prioritized by impact: critical rules preven

$21

A stunning product landing page with GSAP scroll animations, modern React 19 architecture, and Tailwind CSS 4 styling.

Expert quantitative finance, algorithmic trading, and financial data analysis using Python scientific computing. \n \n Covers algorithmic trading strategy development, backtesting frameworks, and signal generation with walk-forward validation to prevent overfitting \n Implements risk models including VaR, CVaR, Greeks calculations, and Monte Carlo simulations for derivatives pricing \n Provides portfolio optimization techniques (mean-variance, Black-Litterman, risk parity) with transaction cost

Expert mobile application development across iOS, Android, React Native, and Flutter.

Use this skill when the user wants to automate video editing, generate drafts, or manipulate media assets in JianYing Pro.