Skill UI

This skill guides the creation of highly detailed, step-by-step implementation plans for complex features. It enforces best practices like TDD, DRY, and YAGNI, breaking large tasks into small, verifiable units. It is crucial for translating high-level requirements into actionable, commit-ready code blueprints, ensuring engineers understand every dependency and step.

This comprehensive guide provides implementation details for Card-Based Design, a popular pattern for displaying bite-sized, discrete information units. It covers best practices for achieving responsive, Pinterest-style layouts across multiple platforms, including modern CSS Grid/Masonry for web, and native frameworks like SwiftUI, Flutter, and React Native for mobile apps. Use it when structuring content feeds, portfolio grids, or news articles.

This comprehensive guide outlines a rigorous, human-in-the-loop engineering workflow for leveraging advanced AI agents to complete complex implementation tasks. It mandates defining clear completion criteria, decomposing work into manageable units, and strategically routing models (Haiku, Sonnet, Opus) based on task complexity. The workflow emphasizes continuous evaluation, regression testing, security review of invariants and edge cases, and strict cost discipline to ensure robust and reliable software development using AI assistance.

This advanced pipeline orchestrates complex feature development based on Request for Comments (RFCs). It breaks down monolithic changes into small, independently verifiable work units, managing dependencies through a Directed Acyclic Graph (DAG). It includes multiple quality gates, dedicated unit testing, and a safe merge queue to ensure robust integration and controlled deployment.

A comprehensive guide outlining rigorous data analysis and reporting standards for geographic manuscripts. It covers spatial statistics, remote sensing accuracy, and qualitative interpretation, emphasizing spatial honesty, quantifying uncertainty, and ensuring results are robust across different scales and units.

Provides comprehensive style guidance for writing and refining scientific manuscripts for Acta Automatica Sinica (AAS). This guide covers the structure of the reporting abstract (Purpose/Method/Result/Conclusion), handling bilingual requirements, formatting rules for equations, figures, and adherence to national standards for units and citations (GB/T 7714). Ideal for papers in control theory, robotics, and intelligent systems.

This guide provides rigorous standards for polishing scientific prose for high-impact materials journals. It focuses on improving narrative flow by emphasizing the structure-property-function argument, enforcing concision, standardizing materials nomenclature and units (SI), and eliminating hype-word inflation. Ideal for authors needing to transition a raw scientific draft into a polished, publishable manuscript.

This guide details best practices for transforming raw econometric outputs (coefficients, significance stars) into self-contained, policy-message-carrying exhibits for top-tier economic journals (e.g., AEJ: Policy). It emphasizes replacing significance stars with standard errors (SEs) or confidence intervals (CIs), creating a 'headline exhibit' that communicates the policy effect in interpretable units, and structuring tables and figures for maximum clarity for non-academic policymakers.

This comprehensive guide provides authors with detailed standards for preparing high-quality, publishable scientific manuscripts for the Chinese Journal of Computers (CJC). It covers critical academic elements, including writing the four-element reporting abstract, structuring the narrative (Introduction, Methods, Experiments), maintaining consistent terminology and symbols, adhering to Chinese legislative units, and mastering the GB/T 7714 citation format. It ensures the final submission meets the rigorous linguistic and structural demands of top-tier academic journals.

This guide teaches how to restructure complex econometric tables and figures for manuscripts intended for a dual audience of professional economists and non-technical policymakers. The focus is on clarity, interpretability, and impact, ensuring that the main text presents policy-relevant findings (e.g., event studies, welfare decomposition) while relegating dense technical details (full regression dumps, diagnostics) to the appendix. It emphasizes translating standard coefficients into meaningful units like jobs or % of GDP.

This comprehensive guide provides structural and stylistic advice for authors submitting experimental economics manuscripts. It emphasizes adopting a 'design-forward' narrative, ensuring procedural transparency, quantifying results in subjects' units, and meticulously structuring the core design section to meet the high standards of expert reviewers.

A comprehensive guide for preparing high-impact tables and figures for IMF Economic Review (IMFER) manuscripts. It dictates best practices for communicating international macro results to a dual audience of econometric referees and policy makers. Key principles include transparent country coverage, replacing significance asterisks with confidence intervals, and expressing coefficients in policy-relevant units (e.g., % of GDP).