Skill UI

A comprehensive late-stage review pass designed for academic manuscripts targeting Organization Science. This skill ensures the paper effectively front-loads the core argument and contribution, translating complex ideas for an interdisciplinary, micro-to-macro audience. It enforces strict adherence to INFORMS house style, structural rigor, and cross-level consistency.

This skill guides authors in sharpening and articulating the single theoretical contribution of an Organization Studies (OS) manuscript. It teaches how to elevate empirical findings into actionable theoretical moves—such as new mechanisms or reconceptualized constructs—required to pass high-level academic review. It ensures the contribution is stated consistently across the abstract, introduction, and discussion sections.

This guide provides comprehensive standards for packaging ubiquitous computing sensing artifacts and datasets for academic publication. It covers best practices for ensuring reproducibility, emphasizing cross-subject evaluation (LOSO), necessary de-identification protocols for human-subjects data, and structuring the submission package for rigorous peer review.

A comprehensive guide for drafting a structured, double-blind academic rebuttal for conferences (like PerCom). This skill focuses on addressing explicit reviewer questions using only evidence already present in the submitted paper, thereby avoiding the promise of new experiments. It covers maintaining anonymity, structuring arguments, and focusing on core technical dimensions like cross-subject evaluation and metric soundness.

A comprehensive guide for designing and auditing rigorous empirical evaluations for sensing systems, particularly Human Activity Recognition (HAR). It emphasizes best practices such as leave-one-subject-out cross-validation, using real human subjects under diverse conditions, reporting event-level metrics (e.g., Macro-F1) over raw accuracy, establishing fair baselines, and mitigating data leakage (e.g., subject or session leakage). This ensures that reported results are robust, generalizable, and defensible against academic skepticism.

A comprehensive guide for researchers in Pervasive Computing on ensuring the verifiable and reproducible nature of sensing data-driven claims. It mandates strict documentation practices covering dataset availability statements, sensing provenance (devices, labeling, preprocessing), cross-subject evaluation (LOSO), and consistency between published results and source data, adhering to ethical guidelines.

This comprehensive guide outlines the specific structural, stylistic, and scientific standards required for submitting papers to Pervasive Computing (PerCom) venues. It helps researchers elevate technically sound work by ensuring the narrative strongly emphasizes the real-world, human-centered contribution of the pervasive system, focusing on cross-subject evidence, rigorous limitation discussion, and adherence to strict academic page limits.

A comprehensive guide and tool to upgrade legacy PowerShell Pester test suites across major versions (v3→v4, v4→v5, v5→v6). It covers structural changes, syntax updates, and breaking changes related to the Discovery/Run model, mock handling, and configuration updates. Use this when modernizing or fixing broken tests after Pester version bumps.

This skill guides authors on formatting and positioning manuscripts for Physical Review Letters (PRL). It is a comprehensive venue-selection and reframing tool, helping authors determine if their physics result has sufficient broad significance, immediacy, and rigor to meet PRL's high standards. It covers methodological evidence bars, required structure, cross-subfield argumentation, and best practices for pre-submission checks.

This skill helps physicists determine if their significant, cross-subfield research results are a good fit for Physical Review X (PRX). It guides authors on PRX's unique requirements, including its open-access mandate, cross-subfield importance bar, and expectations for long-form, comprehensive reporting, helping authors decide between PRX and other journal venues like PRL or subfield PRs.

This skill provides comprehensive guidance for authors considering submitting a large-scale, monograph-length review to Physics Reports. It covers journal positioning, required scope across all physics subfields, the rigorous evidence bar, house style, and submission checklist. Use this tool to help structure and refine an article intended to become a definitive, self-contained academic reference.

This guide addresses the stringent requirements for empirical evaluation in compiler and runtime systems, aligning with SIGPLAN's guidelines. It covers critical aspects such as proper warmup discipline, reporting variance and confidence intervals, selecting principled benchmarks, pinning toolchains, and ensuring cross-platform validity. It provides a protocol for generating verifiable measurement logs for academic publications.