Skill UI

This guide helps researchers structure the introduction of developmental psychology manuscripts. It emphasizes moving beyond merely reviewing a topic and instead identifying a specific 'developmental gap'—an unknown concerning change, age, or mechanism. Learn how to frame your contribution theoretically, clearly state the developmental stakes, and distinguish your work from related fields.

A comprehensive guide for polishing Developmental Psychology manuscripts. It ensures adherence to APA 7th edition standards, focusing on foregrounding developmental change, using JARS reporting for methods and results, and correctly formatting the Abstract and Public Significance Statement based on the required length tier. It helps authors shift focus from single-age findings to developmental trajectories and mechanisms.

This guide provides best practices for authors writing the Related Work section for top-tier AI conferences (e.g., ECAI). It instructs users on how to cover diverse AI lanes (symbolic, learning, multi-agent, application) for broad reviewers, employ 'Delta-first' positioning to state novelty concisely, and adhere to strict page budgets and double-blind review rules.

This skill guides researchers on how to position an economic policy manuscript's contribution against two critical frontiers: the existing academic literature and the current, live policy debate (e.g., central bank statements, commission proposals). It teaches authors to synthesize a single contribution sentence that moves both the academic and the policy conversation, ensuring the paper is timely, impactful, and highly relevant to policymakers.

This guide outlines rigorous standards for incorporating theoretical and quantitative models into economic policy manuscripts. It emphasizes that models must be minimal, transparent, and directly bear policy weight—converting estimates into statements about welfare, fiscal costs, or clear mechanisms. It teaches how to design models that pass 'the necessity test,' ensuring policymakers can trace headline numbers directly back to key, identifiable assumptions.

This guide provides comprehensive standards for designing, auditing, and reporting empirical evaluations in database systems research. It emphasizes the principle that evidence must proportionally match the claim, requiring the use of real-world workloads, fair and tuned baselines, thorough measurement of variance and state (warm/cold), and fully reproducible evaluation harnesses. It also outlines the higher bar for 'Experiments & Analysis' papers.

This guide outlines best practices for achieving high levels of research reproducibility for academic papers, particularly in database and systems research. It details methods for pinning dataset versions, logging system environments, mapping empirical claims to verifiable evidence, and structuring availability statements. Adherence ensures the work is robust, transparent, and fully verifiable by the scientific community.

This skill guides users through strengthening the causal identification strategy of empirical economic manuscripts (DiD, IV, RDD, Experiments). It helps audit research designs against general academic credibility standards, ensuring that assumptions, potential biases, and the link between data variation and causal objects are explicitly stated and robustly defended for diverse expert audiences.

This comprehensive preflight checklist guides researchers through the final essential steps before submitting a manuscript to the European Economic Review (EER). It ensures adherence to Elsevier formatting standards, addresses mandatory replication policies (data/code availability), verifies funding declarations, and confirms all necessary fees and ethical statements are in place. Use this guide as the ultimate final check before pressing submit.

This guide instructs authors on how to craft a robust, cross-disciplinary gap statement for high-level earth science journals. It teaches that a paper's contribution must be framed by triangulating evidence across multiple sub-fields (geochemistry, geophysics, geodynamics, etc.) and competing hypotheses, rather than focusing solely on a single methodological community.

This tool guides researchers through the final pre-submission checklist for academic journals like EPSL. It verifies critical mechanical elements—such as word count adherence, data availability statements with DOIs, declarations of competing interests, and file format compliance—before uploading to the journal's editorial manager. It ensures the manuscript passes all technical gates.

A comprehensive guide for environmental science manuscripts, detailing the standards required for data reporting and ensuring research reproducibility. It instructs authors on assembling Supporting Information (SI), writing data-availability statements, and depositing raw data, code, and protocols into recognized public repositories (e.g., Zenodo, GenBank).