Skill UI

This skill is designed to polish the writing style and structure of interdisciplinary Research Policy manuscripts. It ensures that the core innovation-studies argument is clear and accessible to diverse readerships, including economists, management scholars, and policymakers. It focuses on structuring the narrative, translating field-specific jargon, and making the policy contribution visible and impactful throughout the paper.

This skill acts as a specialized guide for researchers submitting applied econometrics or empirical economics manuscripts. It helps authors assess the suitability of their work for the Review of Economics and Statistics (REStat) venue. It emphasizes framing the contribution around careful identification, robust measurement, and clean design, rather than general interest, providing crucial pre-submission self-checks and identifying potential desk-reject risks.

A specialized academic tool designed to help researchers evaluate whether their manuscript is suitable for submission to highly specialized journals, such as the China Review of Political Economy. It guides users on aligning empirical findings with deep theoretical construction, institutional analysis, and the specific theoretical framing of Marxist and Chinese socialist political economy.

A comprehensive guide for researchers in finance and economics to rigorously assess their research proposals. It helps pressure-test an idea against the high standards of top academic journals, focusing on establishing genuine novelty (new questions, mechanisms, or data) and methodological rigor. Ideal for structuring the contribution claim and refining the research design.

A comprehensive guide designed for academics writing papers in Industrial Organization (IO). Instead of summarizing existing literature, this method teaches authors how to strategically position their unique contribution against the current IO research frontier. It covers identifying the relevant IO strand, citing anchor literature correctly, and concisely defining the precise academic gap the manuscript fills, adhering to high-level journal style guides.

This guide outlines the rigorous standards required for submitting top-tier academic papers, such as those for ACM SIGCOMM. It instructs authors on how to transition from general claims to highly evidence-based arguments by focusing on measured operational pain, defining design principles, and pairing every performance claim with concrete testbed, trace, or deployment evidence. Essential for researchers in networking and systems.

This workflow router is designed for academic researchers targeting top-tier strategy journals. It does not write the paper but acts as a systematic guide, analyzing the current state of your manuscript—from vague ideas to final submission—and recommending the precise next specialized skill needed. It ensures that the paper is systematically improved across theory development, methodological rigor, data analysis, and contribution framing, guiding the author through the entire publication lifecycle.

A comprehensive guide designed for the late-stage polishing of academic manuscripts, specifically targeting submissions to top-tier journals. It focuses on enhancing clarity, improving argument flow, adhering to strict academic house conventions (such as dual abstracts and APA style), and refining prose. This skill ensures the research contribution is clearly articulated and immediately visible to the reader, optimizing the structure and polish of the final paper.

A comprehensive guide for authors revising high-stakes academic papers, such as those for SOSP. It teaches how to shift focus from merely listing features to articulating core design principles, building a compelling 'Problem-to-Insight' arc, and structuring evidence-based arguments within strict length constraints. Essential for academic researchers and technical writers.

A comprehensive preflight checklist designed for submitting academic manuscripts to major journals. It ensures strict compliance with publishing standards, covering double-blind anonymization, required AI disclosure statements, ORCID linking, adherence to specific formatting rules (e.g., Chicago style, page limits), and data authenticity requirements for research integrity.

A comprehensive guide for revising visualization research papers for top-tier conferences and journals (e.g., IEEE VIS/TVCG). It mandates shifting focus from aesthetic design to rigorous, task-grounded contributions. Users learn how to justify every visual encoding and interaction based on the analytical task, ensure evaluation methods match the contribution type, and structure the narrative around the data-task problem.