Skill UI

A comprehensive guide for positioning research papers in competitive robotics conferences. It teaches authors how to move beyond simple literature review by establishing clear, verifiable contrasts with existing work across multiple academic lanes (e.g., RSS, ICRA, CoRL, Journals). This methodology ensures the paper's novelty is rigorously defensible.

This toolkit guides the entire academic publishing lifecycle, acting as a central router across multiple venues. It sequences critical steps—from selecting the ideal target journal (`rt-journal-match`) through data execution, submission readiness checks, simulated referee review, point-by-point rebuttal drafting, and generating the final replication package. It provides a structured, end-to-end process for researchers submitting complex manuscripts.

A comprehensive guide for converting disparate reference styles (e.g., APA, Nature) into the highly specific format required by AAAS Science. This includes managing continuous numbering across main text and supplementary materials, ensuring full author lists, abbreviating journal titles, and applying specific citation mechanics.

This skill provides specialized guidance for authors aiming to publish in the flagship journal, Science. It covers the journal's unique requirements, including cross-disciplinary significance, policy relevance, rigorous methodology standards, and optimal structuring. Use it to re-frame and strengthen your manuscript before official submission.

This guide assists researchers in evaluating the fit of their manuscripts for the journal Scientific Decision Making. It covers journal scope, required methodologies (e.g., system modeling, policy evaluation), structural improvements, common formatting pitfalls (footnotes, Arabic numerals), and cross-journal selection criteria to maximize acceptance chances.

This guide provides a comprehensive audit checklist for designing and evaluating sensor-based systems (SenSys). It mandates rigorous, real-world measurements across five core axes: energy efficiency, on-device latency distribution, ground truth accuracy, deployment realism, and embedded AI footprint. It ensures that research results are based on measured hardware performance, not simulations or idealized baselines.

This guide provides a structured methodology for planning complex academic research publications, especially those governed by multi-deadline cycles. It emphasizes backward scheduling, accounting for non-compressible physical processes like hardware deployment and energy campaigns. It helps researchers sequence activities from initial topic selection through building, measurement, writing, and handling potential resubmission requirements across two distinct academic deadlines.

This skill guides the transformation of empirical findings into generalizable, theoretically robust arguments suitable for top-tier social science publishing. It helps define core social mechanisms, establish scope conditions, and derive testable observable implications across diverse methodologies (e.g., quantitative, comparative, network). Use this when your initial results are strong but the overarching theoretical contribution needs explicit articulation.

A comprehensive guide for designing and auditing high-stakes networking experiments, particularly for top-tier academic submissions like SIGCOMM. It outlines the 'evidence ladder' from microbenchmarks to live deployment, emphasizing the need to select robust baselines, report full performance distributions (percentiles and variance), and accurately map the mechanism's operational break points.

A comprehensive audit checklist designed for authors submitting papers to the SIGIR conference. It guides users through critical pre-submission checks, covering adherence to specific full/short paper formats, mandatory anonymization techniques (e.g., stripping system names, log provenance), cross-track submission rules, AI disclosure requirements, and common pitfalls that lead to desk rejection.

This comprehensive guide outlines best practices for creating and submitting supplementary materials for top-tier academic conferences. It addresses the critical challenges of maintaining strict anonymity, adhering to page limits, and structuring extended proofs, code links, and datasets across multi-round, double-anonymous review cycles.

A comprehensive guide for academic authors on how to sharpen and frame their research contributions for top-tier strategy journals. It teaches authors to move beyond simply listing findings, focusing instead on articulating a genuine theoretical advance, defining the 'so what' for both strategy scholars and practitioners, and maintaining consistency across the manuscript (Introduction, Theory, Discussion).