Skill UI

This guide details the critical, multi-step process for converting an accepted, anonymous conference manuscript into a publishable, citable journal article for PACMNET. Key tasks include systematic de-anonymization (restoring author details and system names), completing comprehensive journal metadata (ACM CCS, ORCID, licensing), permanent linking of artifacts via DOI, and conducting rigorous production checks to ensure final publication quality.

A comprehensive guide for authors preparing the final, camera-ready version of a CVPR accepted paper. It details the multi-channel publication requirements (CVF open access, IEEE Xplore), the necessary steps for de-anonymization, ensuring timely dataset release, optimizing presentation formats (Oral, Poster), and conducting rigorous quality assurance checks before final submission.

This skill guides authors on submitting original, high-quality, and reusable Earth System datasets (observations, reanalysis, model outputs) as primary publications. It assesses whether the work fits the criteria of a 'data paper,' requiring open deposition in a FAIR repository with a persistent DOI, detailed provenance documentation, and rigorous quality control. It serves as a venue-selection and manuscript re-framing tool.

This comprehensive guide provides rigorous standards for formatting tables and figures for high-impact academic journals (e.g., Economic Research). It covers best practices including three-line table styles, variable definition structures, data source documentation, and figure aesthetics (DPI, color). Essential for ensuring submitted manuscripts meet professional publishing quality.

This guide details how to prepare high-quality, verifiable system artifacts (code, data, hardware) for academic conferences like EuroSys. It outlines the requirements for achieving multiple evaluation badges—Available, Functional, and Reproduced—by ensuring the artifact is self-contained, portable, and verifiable by an external evaluator without prior context.

This guide provides comprehensive guidelines for advanced statistical and qualitative data analysis in Human Resource Management (HRM) research. It details the rigorous application of methods like Multilevel Modeling (HLM), Structural Equation Modeling (SEM), mediation testing, and fixed-effects models. It emphasizes methodological rigor, transparency, addressing endogeneity, and reporting effect sizes to ensure publication-quality empirical findings.

A comprehensive guide for authors converting an accepted research paper into its final, published camera-ready form. This checklist covers critical steps including de-anonymization, restoring author metadata (ORCIDs, DOIs), strategically utilizing extra page content, and ensuring strict production quality (IEEE templates, references, and availability statements) required for major academic proceedings.

A comprehensive guide for the final pre-submission quality check of academic manuscripts, particularly for double-blind review processes. It covers critical compliance points such as maintaining anonymity, adhering to strict word counts (including figures/tables), managing separate metadata (abstracts, acknowledgments), and ensuring proper third-person self-citation to avoid common rejection pitfalls.

A comprehensive guide detailing the specific conventions required for submitting high-quality, data-driven papers in computer architecture to top-tier conferences like ISCA. It covers structuring the core argument around a single insight, developing measured motivation sections, describing mechanisms with checkable precision, and calibrating quantitative claims with empirical data and instruments. Essential for academic research communication in hardware design.

This comprehensive guide serves as a critical preflight checklist for authors submitting manuscripts to high-impact journals like JAMA. It meticulously verifies completeness across multiple dimensions, including adhering to specific word/format limits, confirming required ethical statements (IRB, COI, data sharing), and ensuring all supplementary files (e.g., CONSORT/PRISMA checklists, flow diagrams) are correctly uploaded. It is designed as a final quality gate to prevent common submission errors.

This router is designed to guide authors through the entire, highly structured process of developing and submitting an academic manuscript specifically to the Journal of Accounting Research (JAR). It does not perform the research itself but acts as a decision tool, directing the user to the next most appropriate specialized skill—whether it's refining the core topic, strengthening the economic theory, executing data analysis, or drafting a rebuttal response—ensuring a coherent and high-quality research workflow.

This router skill guides researchers through the complex, multi-stage process of developing and submitting high-quality manuscripts for the Journal of International Marketing (JIM). It helps users navigate crucial steps, from initial topic selection and theory development (ensuring the international dimension is theoretical, not just setting) to rigorous methods design, data analysis (including invariance testing), and final submission preparation. It serves as a structural map for academic writing in international marketing.