Skill UI

This guide establishes standards for reporting reproducibility in robotics research, addressing the difference between traditional ML and physical systems. It mandates that every claim must be classified as either 'rerunnable' (executable code/simulation) or 'auditable' (detailed logs, hardware specs, and protocols). It covers creating a complete evidence map, detailing the hardware specification ledger, explicitly reporting the sim-to-real gap, and writing an honest availability statement, all within the main paper body.

A comprehensive guide for positioning highly technical research in top-tier academic venues like ISCA. It instructs authors on deep literature surveying across multiple databases (ACM, IEEE, dblp, arXiv), structuring the 'related work' section using structural differentiation (mechanism delta), and adhering to double-blind review guidelines. Essential for advanced technical paper writing.

A comprehensive preflight checklist for authors submitting Information Systems Research (ISR) manuscripts to the INFORMS portal. It verifies compliance with strict formatting guidelines, double-anonymization rules, mandatory contribution statements, and required reviewer/editor nominations, ensuring the manuscript is submission-ready.

This guide provides comprehensive guidelines for designing, conducting, and auditing empirical studies in software engineering. It emphasizes achieving scientific rigor by matching every claim to specific, measured evidence, ensuring fair baselining (equal budget), and applying appropriate advanced statistics (non-parametric tests, effect sizes). Essential reading for researchers submitting papers based on performance evaluations.

A guide for authors submitting to theoretical computer science venues (ITCS). It strictly defines what constitutes valid evidence for a mathematical claim, emphasizing that complete proofs are paramount. The guidelines detail how to use worked examples, separating objects, and appropriately scoped computations, while strongly advising against using empirical benchmarks or performance metrics.

This guide provides comprehensive style guidelines for submitting articles to the Journal of the American Academy of Religion (JAAR). It specifically instructs authors on converting traditional footnote-based citations to the required in-text author-date system. Key areas covered include formatting the alphabetized, year-keyed reference list, handling primary-source texts, and adhering to house conventions like italicizing foreign words.

This skill polishes academic medical manuscripts to conform to the rigorous standards of major medical journals, such as JAMA, following the AMA Manual of Style. It focuses on refining prose by removing excessive jargon, correcting instances of overstatement ('spin'), replacing casual or causal language with scientifically accurate associational terms, and ensuring adherence to precise statistical and linguistic guidelines for maximum clarity and impact.

This guide helps researchers properly structure graphical and CAD papers submitted to academic journals. It details the separation of core, 'decisive' evidence (main results, key figures) that must reside in the main text, versus 'extensive' supplementary materials (videos, extra data, full derivations). It emphasizes maintaining the self-sufficiency of the main article while ensuring all necessary evidence is presented.

Provides comprehensive guidelines for crafting professional, academically rigorous tables and figures for top-tier economics journals (like JEEA). This guide covers best practices for presenting empirical results, instructing users on how to structure clean tables (three-line format), replace significance stars with standard errors/confidence intervals, and design effective event-study or model-fit visualizations to ensure the core claim is instantly readable.

Provides comprehensive guidelines for authors submitting to the Journal of Economic Theory (JET). It details mandatory data sharing (Elsevier Option C), ensuring computational reproducibility for numerical examples, and proper declaration of generative AI usage. This playbook helps authors structure their submissions to meet high academic standards of verifiable evidence and transparency.

Provides comprehensive guidelines for structuring, formatting, and interpreting tables and figures (exhibits) for high-stakes academic manuscripts. It ensures that statistical results are self-contained, focusing on conveying economic magnitude and maintaining a clear logical flow, while strictly adhering to journal page budgets and specialized evidence types (e.g., econometrics, SEM).

This comprehensive guide details the mandatory steps for authors preparing a manuscript for final publication in the Journal of Software (JOS). It covers everything from content locking and formatting compliance (2021 template) to meticulous reference checking (GB/T 7714), handling copyrights, and ensuring flawless bilingual consistency between Chinese and English abstracts and keywords. Designed for the critical transition phase between acceptance and final printing.