Skill UI

This guide facilitates comprehensive tabletop exercises simulating major ransomware incidents. It systematically tests an organization's preparedness, decision-making processes, and communication protocols across executive, legal, PR, and technical teams. Scenarios cover double extortion, regulatory compliance (GDPR, HIPAA), and varying backup compromise levels, helping organizations identify critical gaps before a real-world attack.

A rigorous protocol for Chinese-canonical structural diagnosis of complex systems, organizations, or public disputes. It mandates separating facts, evidence, scale, and responsibility through a multi-stage internal reasoning process, ensuring deep structural integrity and comprehensive review before drawing conclusions.

This guide teaches authors how to structure scientific manuscripts by correctly partitioning core findings, decisive evidence, and the main narrative into the body text, while moving exhaustive datasets, full protocols, and secondary characterization into the Supporting Information (SI). It ensures the main paper is stand-alone and convincing.

This guide details the rigorous double-blind peer review process used by major art history journals. It helps authors understand what expert referees and editors focus on—such as the originality of the argument, close visual analysis, and documentary evidence—to pre-empt common objections and significantly improve manuscript quality before submission. It emphasizes mastering academic standards and anonymity protocols.

A comprehensive guide designed to help researchers evaluate the suitability of their manuscript for 'China Rural Survey.' It covers the journal's academic scope, key thematic interests (e.g., land tenure, rural governance), required structural elements, and critical submission protocols (such as double-blind review, data/code public disclosure, and abstract formatting). Use this tool to refine your argument and ensure compliance before formal submission.

This comprehensive guide provides expert protocols for writing the 'Related Work' section in Machine Learning papers. It teaches authors how to maintain 'versioned honesty' by meticulously triaging the literature into distinct lanes (e.g., method lineage, model artifacts, evaluation infrastructure). It covers advanced topics like managing concurrent work, citing arXiv status accurately, and avoiding self-citation violations, ensuring the paper is positioned rigorously within the rapidly evolving academic field.

A comprehensive guide detailing the rigorous formatting standards for tables and figures required for submission to the China Rural Economy journal. It covers three-line table style, strict column limits, variable definition protocols, mandatory data source citation, and specific figure aesthetic requirements (e.g., DPI, color usage), ensuring research output meets high academic standards.

A comprehensive protocol for authors addressing major referee objections in theoretical econometrics papers. This guide teaches systematic revision techniques, including how to categorize critiques (fundamental gaps, clarifications, disagreements), structure the mathematical proofs, and write a rigorous, point-by-point rebuttal letter. It ensures the response is mathematically precise and academically sound.

This guide outlines the advanced, disciplined strategies for managing author communication throughout the academic publishing lifecycle of a major conference paper (e.g., FOCS). It covers three critical phases: writing pre-emptive rebuttals before submission, handling limited official queries during review, and executing a disciplined resubmission protocol after rejection. Focuses on turning reviewer critiques into concrete textual improvements rather than defensive appeals.

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.

A comprehensive protocol for authors handling Revise and Resubmit (R&R) or major revisions for methods papers in high-impact statistical journals. This guide structures the revision process, emphasizing how to prioritize feedback based on the handling Co-Editor's letter, classify comments (fundamental, clarification, disagreement), and draft a professional, point-by-point response letter. It ensures the manuscript updates precede the response, maintaining a gracious and concrete tone.

A comprehensive preflight checklist designed for authors submitting manuscripts to specific academic journals (e.g., JHR). It ensures the paper meets critical requirements regarding scope (empirical microeconomics), page limits (e.g., 40 pages), required front matter (disclosure statements, data plans), and adherence to journal-specific submission protocols, helping authors avoid technical rejection and improving overall publication chances.