Skill UI

Compares two recorded browser sessions step-by-step by matching steps via shared step IDs. It performs both pixel-level diffing on screenshots (for visual regression) and node-by-node diffing on accessible DOM snapshots (for structural changes). Ideal for visual regression testing, comparing A/B flow variants, and verifying replay consistency in UI development.

A state-of-the-art memory search engine providing multi-faceted retrieval strategies. It supports default dense semantic matching, advanced hybrid search (sparse + dense with RRF), deep multi-hop Graph RAG for complex reasoning, and 'Smart' search utilizing query expansion, recency boosting, and MMR diversity reranking. Ideal for retrieving nuanced, diverse, and time-sensitive information from large, complex knowledge bases across multiple namespaces.

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.

A comprehensive tool for distributing marketing tasks to team members. It intelligently matches tasks based on roles, channel expertise, regional alignment, and current capacity. Features include assigning new tasks with smart matching, viewing assignments, and generating workload dashboards to prevent resource bottlenecks and skill mismatches.

This guide provides comprehensive econometric methodologies for establishing causality in accounting and finance research. It covers advanced techniques such as Difference-in-Differences (DID), Propensity Score Matching (PSM), Heckman selection models, and Instrumental Variables (IV), emphasizing the correct handling of regulatory changes and external shocks to meet top-tier academic standards.

A comprehensive guide for strengthening causal identification strategies in empirical finance and economics. It covers advanced quasi-experimental designs like Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity (RDD), Propensity Score Matching (PSM), and Double Machine Learning (DML). Use this framework to stress-test your research design, address common econometric pitfalls, and ensure your paper meets the rigorous standards of top academic journals.

This is the definitive workflow guide for submitting academic manuscripts in Chinese sport science. It helps researchers determine the manuscript's sub-discipline, methodological approach, theoretical level, and target audience, ensuring accurate matching with specific CSSCI-level journals. It serves as a crucial router to prevent misdirected submissions.

A comprehensive guide for structuring and refining academic research topics in Public Administration. It assists users in moving from broad, vague domains to concrete, theory-grounded, and publishable research questions. The guide emphasizes theoretical positioning, defining distinct contributions, and matching the paper's nature to appropriate academic journals.

This guide provides a comprehensive methodological framework and checklist for researchers conducting quasi-experimental and micro-panel studies in rural economics. It systematically addresses common econometric pitfalls, such as self-selection bias, reverse causality, and endogeneity, detailing best practices for advanced methods like Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity (RDD), and Propensity Score Matching (PSM).

A specialized routing tool designed for academic researchers submitting manuscripts to top-tier Computer Science and AI conferences. It helps users navigate complex decision points, such as selecting the best venue (e.g., ICML vs NeurIPS), matching contribution types (theory, system, empirical study), and adhering to specific submission guidelines and review constraints.

A detailed guide designed for researchers targeting top-tier economics journals, such as Finance & Trade Economics (CTE). It systematically helps users refine their manuscript by checking four critical areas: scope fit (fiscal, tax, trade, consumption), theoretical grounding, measurable marginal contributions, and appropriate journal matching. This ensures the research meets the high standards required for publication.

This skill provides a specialized guide for submitting academic manuscripts to East China Economic Management. It analyzes the journal's specific scope, required structural elements, common rejection pitfalls, and matching criteria (e.g., elevating local experiences to general mechanisms). Use this tool to refine your paper's theoretical framing and methodology to maximize its fit with the target venue.