Skill UI

This skill helps researchers assess whether their accounting manuscript is suitable for premier, broad-scope journals like Contemporary Accounting Research (CAR). It thoroughly evaluates the paper's contribution, methodological rigor (including archival, experimental, analytical, and field methods), structural fit, and provides critical insights on submission guidelines and potential alternative venues.

A comprehensive guideline for researchers developing robot-learning papers. It details best practices for experimental design, emphasizing statistical rigor, handling stochasticity (training seeds, initial states), bridging the sim-to-real gap, and ensuring fairness across baseline policy families (BC/RL/VLA). This resource helps ensure claims are supported by credible evidence.

This comprehensive guide establishes a rigorous framework for ensuring reproducibility in robot learning research. It details how to document both the "rerunnable half" (software, simulation versions, training configs, seeds) and the "auditable half" (physical hardware specs, sensors, firmware). Adhering to these standards allows experts to verify and rebuild the experimental results.

This guide helps researchers determine if their embodied AI or robotics project is best suited for the Conference on Robot Learning (CoRL). It provides a rigorous two-axis test—assessing if learning is the core contribution and if embodiment is essential to the claim—to decide between submitting to CoRL, ICRA, IROS, NeurIPS, or other journals.

This guide provides a comprehensive framework for conducting heterogeneity and conditionality analysis in Chinese Public Administration (CPA) research. It outlines theory-guided methods for selecting dimensions (e.g., administrative level, governance context, institutional structure) and details best practices for both quantitative (Chow test, interaction terms) and qualitative (QCA) comparison, ensuring findings are theoretically grounded and methodologically rigorous.

This tool guides researchers in selecting and rigorously stress-testing appropriate methodologies (quantitative, qualitative, or normative) for public administration manuscripts. It ensures methodological alignment with the core research question, providing detailed checks for causal inference techniques (DID, IV, RDD) and qualitative rigor, thereby strengthening the overall academic argument.

This comprehensive guide provides a rigorous framework for identifying and testing the causal mechanisms underlying public administration outcomes. It moves beyond merely stating an effect, guiding researchers to detail the specific processes—such as policy execution, attention allocation, or central-local relations—that cause the observed outcome. It covers both quantitative mediation analysis (e.g., causal inference frameworks) and qualitative process evidence gathering, ensuring theoretical grounding and causal rigor in academic manuscripts.

This skill provides a comprehensive guide for refining academic manuscripts, specifically targeting the style required for Chinese Public Administration journals. It teaches users to eliminate vague policy jargon, anchor empirical arguments in theoretical frameworks, and transform descriptive case studies into evidence-linked scholarly analyses, ensuring the final work meets rigorous academic standards.

A comprehensive preflight checklist designed for researchers submitting manuscripts to academic journals, specifically referencing 'Chinese Public Administration' (CPA). It guides users through critical areas such as format compliance (font, spacing, numbering), ensuring author anonymity and de-identification of qualitative data, proper citation according to National Standards (GB/T 7714), adherence to research ethics (IRB), and the organization of supplementary materials. Use this guide before the final submission to ensure methodological and structural rigor.

A comprehensive guide for standardizing the presentation of findings in academic manuscripts, particularly for social science and public administration journals. It covers strict formatting rules for quantitative regression tables (three-line style, max 6 columns), variable definition sheets, qualitative data coding tables, and process/mechanism diagrams, ensuring methodological rigor and compliance with high publication standards.

This skill provides rigorous standards and best practices for running and reporting analyses within Comparative Political Studies (CPS). It addresses common pitfalls in cross-national data, such as measurement error, few clusters, and spurious correlation, ensuring the resulting research is transparent, robust, and replication-ready for academic review.

Provides a comprehensive framework for defending the methodological rigor of comparative social science research. This skill guides users through establishing comparative leverage, whether in cross-national panel data, case-based comparisons, or natural experiments. It emphasizes techniques like causal inference, process tracing, and ruling out rival theoretical accounts to strengthen the study's claims.