Skill UI

A comprehensive guide for advanced empirical research in open economies. It outlines best practices for establishing causal inference by anchoring identification strategies in external or institutional shocks (e.g., tariffs, trade agreements, exchange rate reforms). The guide emphasizes modern critiques of standard methods like shift-share and gravity models, providing detailed protocols for DID, Bartik decomposition, and IV estimation to meet top-tier academic journal standards.

This comprehensive guide details professional standards for presenting complex empirical economic results (tables and figures) for top-tier journals like The Journal of World Economy. It instructs users on simplifying main regression tables, standardizing notes (clustering, significance), and correctly presenting specialized open-economy objects such as event studies, gravity regressions, and GVC decompositions, ensuring research meets publication quality.

This skill guides the rigorous defense of research design for demographic studies, particularly those linking population dynamics to development outcomes. It assists in selecting and justifying appropriate methods—such as life tables, decomposition, event-history modeling, and age-period-cohort analysis—and critically addresses the identification of causal links between population structure and development progress. It focuses on strengthening the argument by confronting rival hypotheses and establishing methodological rigor, without writing code.

Provides detailed guidelines for authors submitting manuscripts to academic journals, specifically addressing the strict limit of 10 tables and figure panels, along with a 10-page supplementary cap. This guide teaches authors how to critically select, consolidate, and present key research results—such as marginal effects, event studies, or decomposition plots—to ensure every exhibit is self-contained, highly clear, and robust enough to pass expert review.

This guide assists researchers in assessing the suitability of their manuscripts for the World Economic Papers. It covers the journal's focus on international economics, open macro, and global value chains. It provides detailed checks on formatting requirements (abstract, references), assesses methodological suitability (e.g., GVC decomposition), and identifies potential submission pitfalls, ensuring academic rigor before targeting a high-level academic journal.

This skill provides a comprehensive framework for targeting and revising academic manuscripts for the journal World Economic Studies. It analyzes the journal's scope, focusing on globalization, open strategy, international trade, and regional economics. It guides users on required advanced methodologies (e.g., GVC decomposition, panel data), structural mandates, and common submission pitfalls to ensure manuscripts meet high academic standards.

Domain knowledge for producing step-by-step Chinese math tutorial videos. Covers problem decomposition, five-part lesson pacing, voiceover narration rules, KaTeX-style formula layout, subtitle timing, and Creator-native implementation using motion clips, audio scripts, and overlay captions.

Design, report, and audit exact, decomposition, heuristic, simulation, and learning-based solution routes for Journal of Systems Engineering, covering pseudocode, convergence, complexity, baselines, ablations, parameters, scalability, and reproducible computational evidence.

This skill provides expertise in proven backend architectural patterns, including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design (DDD). It guides users in building highly maintainable, testable, and scalable systems. Use it when designing new services, refactoring complex monoliths, establishing team standards, or planning microservice decompositions. It emphasizes defining clear boundaries and handling complex, durable workflows.

Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders. This skill guides decomposition into sub-goals with AND/OR structure, annotates leaves with cost, skill, time, and detectability, and maps mitigations to prioritize high-impact paths.

Autonomous agents are AI systems capable of independent goal decomposition, action planning, tool execution, and self-correction without constant human guidance. This skill focuses on ensuring reliability in agent loops like ReAct and Plan-Execute, managing context usage, and handling compounding error rates. It emphasizes building constrained, domain-specific agents for production reliability rather than unrestricted autonomy.

This skill provides a comprehensive framework for mastering microservices architecture patterns. It covers critical aspects of building robust, distributed systems, including defining service boundaries (Domain-Driven Design), managing inter-service communication, handling distributed data transactions, and implementing various resilience patterns (e.g., circuit breaker, circuit breaker). It is essential for large-scale system decomposition.