Skill UI

Provides comprehensive guidelines for designing high-impact scientific figures for major academic journals. It covers technical aspects like optimal sizing, font legibility, and colorblind safety, while also enforcing strict data visualization practices (e.g., using dot plots over bars, defining 'n', ensuring data integrity). Use this as a final quality check before submission to guarantee scientific rigor and maximize publication chances.

This skill helps researchers evaluate whether their manuscript aligns with the scope and practical orientation of specific academic journals. It provides structural advice, outlines key evidence requirements (e.g., patent quality, data analysis), identifies common rejection pitfalls, and guides the user through official submission checks for highly specialized journals.

This skill provides comprehensive guidelines for submitting manuscripts to the journal *Science of Science and Management of S&T*. It helps researchers assess the article's fit, structure, required evidence (e.g., patent quality, network analysis), and common pitfalls associated with technology policy and innovation systems research, ensuring academic rigor.

A comprehensive guide for structuring research papers, particularly in computer graphics and visualization fields (like SIGGRAPH). It dictates how to match technical claims (e.g., 'higher quality,' 'faster') to verifiable evidence, including head-to-head comparisons against State-of-the-Art (SOTA), detailed metric reporting (PSNR, SSIM, Hausdorff), performance timing linked to specific hardware, and robust user studies. Essential for achieving academic rigor and pre-empting domain reviewer objections.

This comprehensive guide provides the optimal structure and academic writing discipline for submitting high-quality technical papers to major computer graphics conferences, such as SIGGRAPH. It emphasizes building a compelling 'first-page arc,' leveraging the teaser figure to immediately demonstrate results, maintaining academic honesty by detailing limitations, and adhering to strict page budget constraints.

This comprehensive guide details the rigorous methodology for designing, executing, and reporting experimental results in Information Retrieval (IR). It covers best practices for selecting appropriate test collections, choosing defensible metrics, performing proper statistical significance testing (e.g., paired t-tests), ensuring baseline fairness, and proactively addressing modern pitfalls like LLM contamination. Essential for publishing high-quality, auditable research in IR/NLP.

This guide details the critical 'triage protocol' for structuring academic papers for highly constrained venues like SIGIR. It outlines the three-container model (Paper Body, References, Repository) and provides expert advice on prioritizing review-critical evidence, implementing effective content compression techniques, and managing external repository material to ensure submissions meet strict page budgets without sacrificing soundness or review quality. Essential reading for researchers.

This comprehensive guide assists researchers in determining the core contribution of their Information Retrieval (IR) work. It provides structured tests to decide whether the contribution lies in retrieval quality or the downstream system. Users learn how to select the appropriate SIGIR track (Full, Short, Resources, etc.) or route their work to neighboring venues like NLP/ML, RecSys, or CHIIR.

A comprehensive guide for structuring and refining high-quality database systems research papers for top-tier conferences like SIGMOD. It covers essential components such as establishing a clear page-one contract, integrating running examples, scoping measured system claims, adopting third-person voice, and adhering to the 12-page ACM template structure for maximum technical impact.

A comprehensive audit guide for preparing academic papers for the SOSP conference. This checklist details critical compliance points, including strict deadlines (abstract registration and full paper upload), strict formatting rules (12-page limit, two-column layout), robust anonymization techniques, and conflict declaration best practices. Use this before uploading any material to ensure high quality and avoid desk rejection.

A comprehensive guide for executing and reporting complex social psychological analyses required for expert peer review. This skill covers norms for reporting uncertainty, assessing measurement quality, ensuring robustness checks, selecting appropriate statistical inference (e.g., multilevel models, clustering), and linking statistical findings back to the theoretical structure. It emphasizes methodological rigor and reproducibility.

Provides a comprehensive guide to the peer-review process for high-impact academic journals. This guide meticulously details every stage, from initial submission through external review, revision, to final acceptance. It helps authors understand the specific criteria, such as scientific value, innovation, and rigor, and outlines actionable steps to optimize manuscript quality and manage publishing expectations.