Skill UI

An adaptive and persistent coaching system designed for the entire job search lifecycle. It covers critical stages including Job Description (JD) decoding, resume optimization, mock interviews (behavioral, technical, case), transcript analysis, storybank building, and comprehensive salary negotiation support. The system tracks your progress and provides tailored coaching plans across 23 commands.

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.

This guide helps authors structure and write a highly persuasive cover letter for advanced materials submissions. Its purpose is to proactively convince the journal editor that the work represents a genuine, broad-impact scientific advance, rather than just incremental optimization. It focuses on arguing the impact case, naming specific beneficiary communities, and structuring the argument for maximum editorial visibility.

This comprehensive guide provides expert advice on structuring and polishing research manuscripts for multi-disciplinary academic venues like CIKM. It details how to satisfy reviewers from Information Retrieval, Data Mining, and Knowledge Management simultaneously, covering the optimal structure for the opening page, vocabulary discipline, budget compression, and effective title optimization.

A comprehensive guide for translating complex, real-world management settings into formal, rigorous mathematical models suitable for high-level academic journals. It provides a systematic framework (Situational Element $\rightarrow$ Model Element Mapping) for developing optimization, game, and data-driven models, ensuring that the model structure, assumptions, and novelty are explicitly defensible against academic critiques.

This guide outlines the rigorous method for developing econometrically testable hypotheses for accounting research, particularly for high-tier journals. Instead of relying on vague constructs, it teaches how to ground predictions in core economic theories like information economics, agency theory, and contracting frictions. It helps researchers build a clear mechanism by specifying the agent's optimization problem, identifying the core friction, and deriving conditional, testable predictions.

This tool provides a systematic framework for formalizing complex management and business scenarios into a mathematically well-posed decision problem. It guides users through identifying the five critical elements: decision makers, decision variables, information structure, uncertainty sources, and objectives/constraints. This is essential for ensuring that subsequent models (optimization, game theory, etc.) are correctly structured and viable for rigorous research.