Skill UI

This comprehensive preflight checklist guides authors through the final steps before submitting an Advanced Materials manuscript to Wiley. It verifies critical aspects including article type adherence, figure resolution, separate Supporting Information handling, metadata completion (ORCID, funding), and overall manuscript integrity. Use this tool as the last gate check to ensure the submission meets all journal requirements and minimizes desk rejection risks.

This guide outlines the rigorous methodological standards for empirical identification in macroeconomics, crucial for submitting to top-tier journals. It covers advanced techniques such as Structural VAR (SVAR), Local Projections (LP), and handling high-frequency/micro-data shocks. It ensures authors explicitly defend the mapping from raw data to dynamic causal objects, addressing critical issues like endogeneity, anticipation, and structural breaks, and providing execution checklists for modern econometric tools (DiD, IV, RDD).

A comprehensive pre-submission checklist designed for authors aiming to submit original research papers to high-level academic journals, such as Acta Electronica Sinica (AES). This guide covers essential academic components, including proper abstract structuring, keyword adherence, specialized referencing formats (GB/T 7714), blind review compliance, ethical data handling, and formatting standards. It minimizes the risk of rejection during the initial editorial screening process.

This guide details the critical steps required after conference acceptance to prepare a paper for the final, public 'camera-ready' submission (e.g., AISTATS, PMLR). It covers transforming an anonymous manuscript into the final two-column format, restoring author metadata, handling public artifacts (code, data), resolving formatting issues, and confirming all presentation and copyright obligations.

This guide provides comprehensive best practices for preparing supplementary materials for major academic conferences like AISTATS. It details the proper structure and handling of appendices, mathematical proofs, code archives, and additional data tables, ensuring that the main paper remains fully understandable even if the supplementary material is ignored by reviewers. Essential for publishing high-quality, robust research.

A comprehensive ethical framework for anthropological research (AA), focusing on accountability, informed consent, and the 'ethics of care.' This skill guides researchers on protecting vulnerable populations, handling cultural heritage, human remains, and determining what data can and cannot be shared. It emphasizes that protecting people always overrides data sharing requirements.

A detailed guide for scrutinizing statistical inference in high-level econometric manuscripts, designed to withstand rigorous technical peer review. It covers critical areas such as selecting appropriate clustering levels, handling weak instrumental variables (IV), correcting for multiple hypothesis testing, and ensuring accurate standard error reporting for panel data and causal inference models.

A comprehensive guide detailing the strict requirements for submitting supplementary materials (video figures, code archives, data, and appendices) to major academic conferences like CHI. It emphasizes critical rules such as end-to-end anonymity, self-containment (the paper must stand alone), proper data archiving, and handling multiple submission stages (review vs. publication).

A comprehensive guide for designing rigorous and robust empirical programs in Information Retrieval, Data Mining, and Knowledge Management. It outlines how to meet the stringent evidence requirements for top-tier conferences, ensuring claims are substantiated across multiple evaluation dimensions (retrieval, mechanism, scalability) and incorporating best practices for reproducibility and handling modern challenges like LLM contamination.

A comprehensive guide for authors preparing manuscripts for journals requiring high standards of openness and rigor. It details how to prepare required materials, including data-availability statements, open data/materials deposits, pre-registration plans, and handling restricted data paths, ensuring submitted research is fully reproducible and verifiable.

This skill converts Microsoft Word documents (.docx) into Markdown format. It is essential for accurately analyzing, summarizing, or extracting data from proprietary Word files, as direct parsing is unreliable. It supports single files, batch processing of folders, and is designed to coordinate with sibling skills (PDF and Excel) when handling mixed document types to ensure no data is skipped.

This comprehensive skill guides researchers through the critical ethical framework for anthropological and social science manuscripts. It emphasizes 'do no harm,' continuous informed consent, community accountability, and proper handling of sensitive data, cultural heritage, and human remains. It ensures that all data sharing and knowledge reuse plans prioritize the rights, privacy, and well-being of interlocutors above academic publication needs.