Skill UI

A comprehensive guide for authors submitting to Computer Science journals, detailing how to achieve full experimental reproducibility. It systematically covers locking environments (dependencies, hardware, seeds), preventing data leakage, structuring the submission package, and creating a clear audit trail so reviewers can independently reproduce all main results from raw data.

Provides stringent guidelines for formatting tables and figures in high-level economics and finance manuscripts. Covers mandatory three-line table styles, column count limits, rigorous variable definition requirements (including naming specific databases), data source transparency, and professional figure generation techniques (e.g., 300 dpi, proper event study plots).

A comprehensive guide for managing the entire lifecycle of major academic conference submissions (e.g., CVPR). It details critical timelines, from initial scope freezing and paper drafting to supplement submission, rebuttal writing, and resubmission strategies across different venues (ICCV, ECCV). Focuses heavily on project management and coordination to prevent process failures.

This comprehensive guide details the rigorous standards for conducting and reporting advanced demographic analyses. It covers essential techniques, including constructing accurate rates, performing decomposition, generating life tables, and handling event history/survival data. The core focus is on methodological rigor, ensuring the reproducibility of results, and honestly reporting uncertainty (e.g., confidence and credible intervals) to meet the standards of expert peer review.

A comprehensive guide for structuring and communicating robustness checks in economic policy papers. It teaches authors how to organize tests not as a checklist of alternative specifications, but by the specific threat (e.g., sample size, functional form, pre-trends) they neutralize. The focus must remain on defending the policy-relevant magnitude and confidence interval in the main text, preventing the paper from becoming a mere appendix dump.

This guide teaches how to restructure complex econometric tables and figures for manuscripts intended for a dual audience of professional economists and non-technical policymakers. The focus is on clarity, interpretability, and impact, ensuring that the main text presents policy-relevant findings (e.g., event studies, welfare decomposition) while relegating dense technical details (full regression dumps, diagnostics) to the appendix. It emphasizes translating standard coefficients into meaningful units like jobs or % of GDP.

A comprehensive guide for structuring academic empirical research projects to ensure the full reproducibility of findings. This methodology covers standard folder layouts, master scripting, data provenance documentation, and best practices required for passing rigorous peer review scrutiny, thereby preventing data loss and calculation errors during revisions.

A comprehensive guide detailing how to structure and submit highly technical papers to major academic conferences (e.g., EuroSys). It outlines the 'four shelves'—the 12-page core argument, references, artifact repositories, and appendices—ensuring that the main, decision-critical evidence is always contained within the primary reviewed pages, preventing the submission from failing due to overflow.

This skill provides a deep dive into the rigorous multi-stage review process for scientific manuscripts, particularly in field crops. It details editor scope screening, the single-anonymized expert review, and the specific criteria required (e.g., multi-environment data, statistical rigor, general relevance) to prevent desk rejection. Use this knowledge before submission to stress-test your manuscript, anticipate reviewer objections, and structure your findings for maximum scientific impact.

This skill helps researchers pressure-test their agronomy or crop-science project against the strict criteria of specialized journals, such as FCR (Field Crops Research). It guides users to ensure their work is field-based, multi-season/multi-environment, focuses on true field crops, and holds general scientific significance, preventing premature rejection.

This guide provides strict guidelines for structuring and presenting empirical results (tables and figures) in financial management manuscripts. It emphasizes making the main coefficient and its practical economic magnitude legible at a glance, adhering to high-standard journal norms (e.g., Wiley/FMA style). It covers best practices for event-study plots, IV tables, and ensuring standard errors and economic significance are always visible.

A comprehensive guide for enhancing existing agentic web applications built on the CopilotKit frontend and Microsoft Agent Framework running on Azure AI Foundry. Covers advanced topics such as adding and gating agent tools, implementing human-in-the-loop (HITL) approvals, managing shared state, debugging event streams, and safely deploying agent updates. This skill is for maintenance and extension, not for initial project scaffolding.