Skill UI

A structured system designed to extract the cognitive fingerprint of any text's author. Utilizing the DHDNA framework, it analyzes 12 dimensions—such as Analytical Depth, Emotional Processing, and Strategic Thinking—to provide deep insights into the author's unique reasoning patterns, decision-making style, and overall cognitive signature. Ideal for content analysis, psychological profiling, and understanding underlying thought processes.

This guide provides comprehensive methodological blueprints for designing scholarly manuscripts submitted to Accounting, Organizations and Society (AOS). It covers various research paradigms, including qualitative field studies, behavioral experiments, surveys, and historical/archival inquiries. Emphasis is placed on rigorous planning, ethical considerations (IRB approval, consent, anonymity), and maintaining theoretical alignment between the research design and the core argument, helping researchers avoid methodological pitfalls.

A comprehensive guide for creating publication-quality scientific figures, adhering to high-impact journal standards. Covers critical topics such as optimal sizing for print widths, displaying underlying raw data (dot plots, replicates), ensuring colorblind accessibility, structuring stand-alone legends, and maintaining image integrity. Essential reading for researchers preparing manuscripts.

A comprehensive guide to managing the modern CSCW (Conference on Computer-Supported Cooperative Work) submission timeline. It details the shift from rigid, fixed cycles to a flexible, rolling submission model, emphasizing that success relies on treating the process as a long-term 'revision campaign' rather than a quick deadline sprint. Learn how to strategically plan for revisions and maintain momentum across extended academic cycles.

This guide walks authors through the critical post-acceptance stages of academic publishing. It covers transforming a revised manuscript into a final, print-ready version, focusing on meticulous checks for references (GB/T 7714), figures, tables, and consistency. It also details procedures for copyright, fee payment, and proofreading (proofreading/erratum submission).

This guide offers advanced methodological advice for structuring the 'Related Work' section for top-tier theoretical computer science conferences (like FOCS). It teaches researchers how to treat research history as 'lineage engineering,' requiring precise citation of specific preprints (arXiv version pinning), distinguishing between conference and journal versions, and transparently addressing concurrent results. This ensures the bibliography is rigorous, consistent, and withstands expert review.

This guide provides a comprehensive overview of the editorial and review process for the Journal of Public Economics (JPubE). It details the single anonymized review model, expectations regarding multiple specialist reviewers, the use of Editorial Manager, and strategic advice for SSRN preprints and appeals. Use this skill when planning a submission, understanding review outcomes, or managing academic publication expectations.

This guide provides expert guidelines for designing high-impact, concise figures specifically for academic publications with strict length limits (e.g., PRL). It emphasizes that every figure must convey a single, central result at a glance. The strategy covers lead figure principles, print standards (single-column legibility, color-blind safety), and panel discipline to ensure maximum clarity and minimal word count consumption.

This guide provides a comprehensive framework for positioning theoretical algorithms research in top-tier venues like SODA. It details how to conduct a rigorous "related work" review, covering bound lineages across conference proceedings, journal publications, and arXiv preprints. Learn best practices for citing dual-version results, managing priority claims, and writing scholarly prose to establish your result's state-of-the-art status.

A comprehensive guide for authors writing theoretical computer science papers. It details how to position a result within the existing academic lineage, ensuring rigorous citation practices, managing version discrepancies (preprint vs. journal), and honestly comparing bounds against prior work. Essential for meeting the high standards of top-tier conferences like STOC.