productivity▌

\n First, divide the article into sections based on its headings. Think about the main points you want to make during those sections. \n \n Consider that information is a directed acyclic graph, and that pieces of information can depend on other pieces of information. Make sure that the order of the sections and their contents respects these dependencies. \n Confirm the sections with the user. \n \n For each section: \n \n 2a. Rewrite the section to improve clarity, coherence, and flow. Use maxi

Comprehensive requirements and planning specialist for PRDs, tech specs, feature prioritization, and epic breakdown. \n \n Creates Product Requirements Documents (PRDs) for complex projects and lightweight Technical Specifications for simpler ones, with structured functional and non-functional requirements \n Prioritizes features using MoSCoW, RICE scoring, and Kano frameworks; includes validation scripts and templates to ensure requirements are testable, measurable, and traceable \n Breaks down

Convert a PRD into a phased implementation plan using vertical-slice tracer bullets. \n \n Breaks down product requirements into thin, end-to-end slices that cut through all integration layers (schema, API, UI, tests) rather than horizontal layers \n Identifies and documents durable architectural decisions upfront (routes, schema, data models, auth boundaries) so all phases reference consistent foundations \n Outputs a structured Markdown plan file in ./plans/ with phases, user story mappings, a

Deploy static frontend websites to GitHub Pages using the GitHub CLI.

IF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.

Comprehensive skill for automating WooCommerce store operations and workflows.

Quantitative trading strategy development, backtesting, and live execution using FinLab's data and simulation engine. \n \n Fetch 900+ financial data columns (price, fundamentals, valuation, institutional trading) via data.get() with universe filtering by market and industry \n Build stock selection strategies using FinLabDataFrame methods: trend detection, moving averages, ranking, and factor combinations with boolean logic \n Backtest strategies with sim() including risk management (stop-loss,

Type-safe routing patterns, data loading strategies, and navigation best practices for TanStack Router in React. \n \n Covers 33 rules across 10 categories: type safety, route organization, data loading, search params, error handling, navigation, code splitting, preloading, and route context \n Emphasizes type inference through router registration, from parameters, and queryOptions integration to prevent runtime errors \n Includes data loading patterns with TanStack Query integration, deferred d

Best practices for full-stack React development with TanStack Start, covering server functions, middleware, SSR, and authentication. \n \n Organizes 31 rules across 10 categories (server functions, security, middleware, authentication, SSR, error handling, and more) with priority levels to guide implementation order \n Covers critical patterns for server-side logic, input validation, secure session management, and client-server boundary handling \n Includes middleware composition, selective SSR

Generate images with FLUX models via inference.sh CLI.