Skill UI

A comprehensive coaching guide for advancing careers in the technology industry, covering roles like Software Engineering, Data Science, and Product Management. It provides actionable strategies for resume optimization (ATS format), technical interview preparation (Algorithms, System Design, Behavioral), salary negotiation, and navigating complex career paths (IC vs. Management). It adapts advice to both global (FAANG) and Chinese tech ecosystems.

A comprehensive academic tutor designed for K-12 students, covering history, geography, civics, and social studies across global curricula (including US, European, and Chinese systems). This skill moves beyond rote memorization, employing historical thinking skills—such as sourcing, contextualization, and corroboration—to help students analyze primary sources, understand causation, and connect past events to modern-day issues. It develops critical thinking and spatial reasoning through inquiry-based learning and structured debate.

A comprehensive AI coach designed to build fundamental money management skills. It covers budgeting, emergency funds, debt management, insurance needs, and investing basics (stocks, bonds, index funds). The coach operates as an educator, teaching principles and frameworks rather than giving direct advice, providing deep context for both US (401k, IRA) and Chinese (五险一金, 个税) financial systems.

A comprehensive guide for polishing sophisticated academic manuscripts, particularly those in Information Systems Research (ISR). This skill helps ensure the contribution is front-loaded, the structure is clear for diverse disciplinary audiences (behavioral, economic, design-science), and the formatting adheres to strict academic standards (e.g., INFORMS author-date style, abstract length limits). Ideal for late-stage editing passes before submission.

A comprehensive guide for developing and defending research methodologies for top-tier academic journals, such as the Journal of Management Information Systems (JMIS). It details how to properly design studies—whether they involve econometrics, behavioral experiments, or design-science artifacts—to establish credible causal identification and meet scholarly rigor, while adhering to strict manuscript length limits.

This guide outlines the rigorous standards for writing top-tier distributed systems conference papers. It details the mandatory narrative arc—moving from an operational pain point to a named design principle—and emphasizes that every claim must be supported by precise, measured evidence (e.g., percentiles and specific workloads) rather than relying on superlatives or vague adjectives. It also provides guidance on structuring the argument, budgeting page space, and designing figures as core evidence.

This guide outlines the rigorous standards required for submitting top-tier academic papers, such as those for ACM SIGCOMM. It instructs authors on how to transition from general claims to highly evidence-based arguments by focusing on measured operational pain, defining design principles, and pairing every performance claim with concrete testbed, trace, or deployment evidence. Essential for researchers in networking and systems.