Skill UI

A comprehensive methodological guide for designing rigorous academic studies in accounting. It details advanced econometric techniques—including Difference-in-Differences (DiD), Instrumental Variables (IV), Regression Discontinuity Design (RDD), and experimental setups—to establish credible causal identification. Use this guide when your research challenge is solving endogeneity or isolating a specific economic channel from complex, non-random variables.

A comprehensive preflight checklist designed for submitting academic manuscripts to major journals. It ensures strict compliance with publishing standards, covering double-blind anonymization, required AI disclosure statements, ORCID linking, adherence to specific formatting rules (e.g., Chicago style, page limits), and data authenticity requirements for research integrity.

A comprehensive guide designed to help authors position, frame, and refine academic manuscripts for submission to top-tier accounting journals like The Accounting Review (TAR). It assesses method rigor, theoretical contribution, scope fit, and common desk-reject triggers across archival, experimental, and analytical designs.

A comprehensive skill designed to guide authors on whether their observational, data-intensive manuscript is suitable for The Astronomical Journal (AJ). It details the journal's specific scope, required methodological rigor (e.g., uncertainty propagation), and adherence to AAS/AASTeX standards, serving as a pre-submission fit and re-framing tool.

A comprehensive skill designed to assess the suitability of a manuscript for The BMJ (British Medical Journal). It provides expert guidance on journal positioning, required methodological rigor (e.g., CONSORT, PRISMA, STROBE compliance), open data commitments, structured abstract requirements, and the specific standards necessary for submission to a leading, patient-centered, evidence-based medical journal. Use this to re-frame and optimize your research paper before submission.

This comprehensive guide helps authors determine if their microbial ecology manuscript is suitable for The ISME Journal. It details the journal's focus on ecological and evolutionary mechanisms, outlining expectations for multi-omics integration, rigorous experimental design, and high-level evidence. Use this skill for venue selection, manuscript re-framing, and understanding the required standards for publication.

A workflow designed for careful, incremental development. It mandates breaking down large tasks into the smallest meaningful steps, pausing for immediate feedback after each segment. This continuous validation process ensures the direction is correct early on, minimizing risk and making the entire process highly reviewable and manageable.

This comprehensive guide is designed to help authors assess the methodological and theoretical suitability of their manuscript for Transportation Research Part B. It emphasizes that the core contribution must be a generalizable method, model, or theorem (e.g., in traffic flow, network optimization, or choice modeling), rather than a simple applied case study. Use this tool for venue selection, manuscript re-framing, and ensuring rigorous analytical justification.

A comprehensive guide for designing, auditing, and reporting advanced statistical and causal inference experiments. It emphasizes moving beyond simple accuracy metrics to quantify uncertainty, model robustness, and causal mechanisms. Covers metrics like coverage, KL divergence, and regret, and outlines best practices for seeding, compute fairness, and creating standardized reporting blocks (e.g., UAI standards).

A comprehensive project management layer designed for navigating the entire academic conference lifecycle. It guides authors through critical phases, including topic selection, paper drafting, rigorous review response, camera-ready submission, and final presentation. The workflow emphasizes meticulous planning, role assignment, and maintaining academic integrity to prevent common project failures.

A comprehensive guide detailing how to package and present research artifacts—including code, hardware designs, and datasets—for major academic conferences. It outlines best practices for both initial review-time evidence and long-term public reuse, ensuring reproducibility and maximizing the chances of adoption by future builders.

Provides comprehensive guidelines for designing rigorous technical evaluations for interactive systems, specifically tailored for top-tier venues like UIST. It emphasizes matching evaluation methods to specific artifact claims, reporting distributions over means, closing the interaction loop, and performing thorough ablations against real-world baselines. This framework ensures the scientific rigor and credibility of submitted research.