Skill UI

This technique is designed for advanced academic research, enabling users to search for theses by running two parallel tracks: a Topic Track (focusing on discipline, methodology, and materials) and a People Track (focusing on university, advisor, degree type, and year). By switching between these two methodologies, users can cross-validate results and significantly improve the accuracy and completeness of their literature review.

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 on writing literature reviews and related work sections, specifically tailored for high-impact journals like Acta Automatica Sinica (AAS). It teaches authors how to frame their research by focusing on the incremental contribution (delta), moving beyond simple literature listing to establish clear gaps, contrasting current limitations, and rigorously defining the work's novelty in a structured manner.

A comprehensive guide detailing the double-blind three-review process for academic journals. It breaks down the complete workflow—from initial submission and editor screening to external review, multiple revision rounds, and final acceptance. The guide provides authors with actionable advice on preparing for each stage, managing expectations, and avoiding common procedural pitfalls.

Provides comprehensive guidelines on structuring academic manuscripts for Acta Automatica Sinica (AAS). Learn how to effectively separate core contributions (main text) from supporting details, such as lengthy proofs, supplementary simulations, and extensive datasets, ensuring the paper remains concise and highly readable while maintaining scientific completeness for reviewers.

A comprehensive audit checklist for authors submitting papers to major NLP conferences (like ACL) via OpenReview. This guide covers mandatory formatting rules, maintaining anonymity, addressing ethical declarations (Responsible NLP), managing resubmission links, and ensuring adherence to the entire submission workflow to prevent desk rejection.

A comprehensive guide for drafting professional and strategic rebuttals for major academic conferences, such as ACM Multimedia. Learn how to triage reviewer comments, structure arguments for the Area Chair, address factual errors, and incorporate small, confirmatory results while maintaining anonymity and adhering to strict policy guardrails.

This guide teaches researchers how to structure a high-impact literature review for top-tier academic journals. It moves beyond merely summarizing recent empirical studies, focusing instead on establishing a deep theoretical lineage (e.g., earnings quality, audit theory), identifying specific, non-obvious research gaps, and clearly positioning the current study's unique contribution within the established academic discourse.

A comprehensive guide for authors on how to structure and write a professional, point-by-point rebuttal letter and revision explanation in response to rigorous academic reviews. It covers addressing specific critiques related to measurement, identification, institutional standards, and information mechanisms, ensuring the response is evidence-based, anonymous, and highly professional.

A comprehensive guide for authors responding to major journal decisions (e.g., R&R or reject-with-comments) in economics. This skill teaches a systematic approach to triaging reviewer comments, structuring the rebuttal letter point-by-point, and ensuring revisions are supported by new empirical evidence rather than just prose. It focuses on maintaining academic rigor and professional communication.

A guide for academic writers on how to succinctly position a research contribution against the single closest prior work in highly constrained formats (e.g., AER: Insights). It teaches authors to state the novelty (the 'delta') in one or two paragraphs, avoiding full literature reviews and focusing only on the marginal contribution.

A comprehensive strategy guide for responding to a 'Revise and Resubmit' (R&R) decision from top-tier academic journals. It teaches authors how to structure the response letter, reconcile conflicting reviewer demands, defend the paper's core contribution, and maintain a professional, confident tone while addressing every single comment point-by-point.