Skill UI

This tool generates a comprehensive, structured, five-section academic paper outline (Abstract, Introduction, Method, Results, Discussion) based on a provided research topic, preference brief, and source references. It ensures the outline contains sufficient substance and integrates multiple citation keys, serving as a robust foundation for a full-length research paper.

This skill generates highly structured legal documents, including memos, case summaries, and argument outlines. It utilizes the standard IRAC format (Issue, Rule, Application, Conclusion) to provide comprehensive legal analysis. Ideal for drafting position papers, legal advice summaries, or preparatory documents for court submissions, ensuring all legal arguments are systematically presented and uncertainties are explicitly flagged.

This comprehensive guide outlines the meticulous workflow for preparing a research paper for final publication (Camera-Ready) after acceptance at major NLP conferences like ACL. It covers critical steps including de-anonymization (restoring author details and acknowledgements), integrating mandates from meta-reviews, adding required disclosures (e.g., funding, AI assistance), and ensuring all technical metadata, font embedding, and licensing comply with the permanent open-access standards of the ACL Anthology.

This guide outlines how to elevate a research paper beyond merely presenting new estimates. It teaches authors to frame their contributions around actionable policy gaps, welfare improvements, and cost-benefit analyses, ensuring the 'so what' for policymakers is the primary takeaway. Essential for academic writing in economics.

This guide outlines the strategic approach for navigating the fast, decisive peer review process of AER: Insights. It details the single-round, conditional accept/reject model, emphasizing that papers must be submission-ready and objection-proofed upfront, as there is no traditional revise-and-resubmit cycle. Learn how to pre-empt major critiques concerning importance, robustness, and design credibility before submission.

This guide outlines the stringent reproducibility and data requirements for submitting manuscripts to Agricultural Systems (AgSy). Because AgSy treats code, models, and algorithms as research data, authors must learn how to deposit all materials in a recognized repository (e.g., Zenodo, OSF), cite them permanently, and document the model structure, parameters, and versions. It provides a checklist for building a reproducible research workflow.

This guide outlines the rigorous methodology for developing theoretical arguments, specifically for top-tier academic journals. It focuses on the 'craft of theory construction'—defining necessary constructs, deriving relationships, specifying underlying mechanisms, and setting boundary conditions. It is a conceptual framework tool, not an empirical data analysis method, helping researchers elevate the rigor of their theoretical contributions.

A comprehensive guide for mathematicians writing complex, pure-mathematics manuscripts for high-level journals. It focuses on laying out the architecture of the argument, ensuring that the novel contribution (the 'crux') and the difficulty are clear to a non-specialist referee. Learn how to decompose proofs into named lemmas, outline the strategy upfront, and properly attribute external results.

A comprehensive strategy guide for mathematical authors to stress-test their proofs before submission. It outlines how expert academic referees rigorously review work, advising on strengthening weak steps, verifying external theorems, clarifying the core argument, and handling boundary cases to significantly improve the manuscript's rigor and chances of acceptance.

This guide outlines the rigorous, multi-step process for authors revising a mathematical or scientific manuscript following a detailed referee report. It emphasizes the critical rule: always fix mathematical gaps and errors in the text first, and only then draft a structured, point-by-point reply that is respectful, precise, and mathematically grounded.

A comprehensive guide for authors facing a revise-and-resubmit (R&R) status in academic journals. It outlines the entire revision lifecycle, from building a structured response matrix and performing substantive re-analysis (re-coding, new experiments) to strategically drafting the point-by-point rebuttal letter. Focuses on maintaining academic rigor, reconciling conflicting reviews, and ensuring methodological consistency before final resubmission.

This guide helps researchers critically evaluate and sharpen their accounting research questions, ensuring the focus is on the social, organizational, or behavioral aspects of accounting practices, rather than purely financial or capital-market outcomes. It outlines the 'AOS fit' test and helps select the appropriate intellectual tradition for submission.