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 mentor guiding users through the entire lifecycle of academic literature reviews. It teaches systematic search strategies (PICO/PCC), critical appraisal methods, and advanced synthesis techniques. The skill covers searching major English and Chinese databases (e.g., PubMed, Web of Science, CNKI), organizing findings, and effectively utilizing AI research tools like Elicit and Semantic Scholar to build robust, evidence-based research papers.

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 tool helps authors determine if their specialized research in earth, environmental, or planetary sciences is a suitable fit for the Communications Earth & Environment journal. It guides authors on framing the work for a broad readership, ensuring solid completeness, technical rigor, and adherence to Nature Portfolio's data standards, helping to avoid common desk-reject issues.

Provides comprehensive guidelines for developing and reporting high-stakes academic analyses, particularly in the social sciences and anthropology. It teaches authors how to ground every interpretive claim in specific evidence, proactively address alternative readings, integrate disconfirming data, and maintain methodological transparency to ensure the work survives rigorous expert peer review.

This comprehensive guide assists researchers targeting Environmental Science & Technology (ES&T) submissions. It provides detailed heuristics on journal positioning, scope fit, required mechanistic rigor, data presentation standards, and structural elements. Use this checklist to re-frame and strengthen your manuscript before submission, ensuring alignment with the journal's high standards in environmental chemistry, green engineering, and environmental science.

The EPSL Workflow Router is a comprehensive guide that helps authors navigate the entire manuscript lifecycle for high-impact letters in Earth and Planetary Science. It routes users through critical stages—from initial topic selection and literature positioning to data analysis, writing style, and final submission—ensuring the work maintains conciseness and focuses on a single, decisive, process-level advance.

A comprehensive guide detailing the transition of an accepted FSE paper into a journal-ready (PACMSE) camera-ready format. This process involves critical steps including full de-anonymization, applying the final ACM template, completing detailed journal metadata (ORCID, CCS), integrating required revisions, and permanentizing open science artifacts with DOIs.

This skill guides the transformation of quantitative research findings (models, experiments, empirical results) into structured, actionable managerial insights. It enforces the 'Condition-Decision-Effect' framework, ensuring that every policy suggestion is directly traceable to specific data points, parameters, or experimental findings. Essential for authors aiming to publish high-impact academic papers in management science.

A comprehensive post-acceptance checklist detailing the rigorous steps needed to transform an accepted research paper into the final camera-ready version for IEEE Xplore publication. This includes de-anonymization, adherence to the IEEEtran format, completing metadata and rights forms, integrating reviewer feedback faithfully, and permanentizing data availability links for open science.

This guide provides comprehensive best practices for authors to enhance the reproducibility of technical research papers (especially in networking and computer science). It covers documenting proofs, pinning simulation setups, reporting parameters, and best practices for releasing code and datasets, transforming a paper from a claim into a verifiable scientific artifact.

This guide provides a structured protocol for authors writing methods papers in statistics or econometrics. It teaches how to define the precise 'delta' (incremental contribution) of a new method by explicitly referencing 3-6 existing state-of-the-art techniques. It emphasizes positioning the work across both traditional econometric theory and modern machine learning/data science literature, ensuring the contribution is clearly stated against named prior methods, not as a general survey.