Skill UI

Provides a comprehensive guide to the Review of Economic Dynamics (RED) editorial process, detailing the suitability screen, single-anonymized refereeing model, and fast-review expectations. It guides authors on preparation, planning timelines, and common pitfalls to ensure a smooth submission experience.

This guide provides rigorous best practices for developing and presenting theoretical economic models for top-tier journals. It emphasizes framing results with a clear economic payoff, maintaining minimal model setups, and ensuring that complex, full proofs are relegated to the online appendix. The goal is to ensure the primary economic insight remains highly visible and actionable, rather than being buried in algebraic machinery.

This guide details the expected review standards and process for submitting academic manuscripts to general social-science journals, referencing the Social Forces review model. It covers double-anonymization rules, required methodological rigor, achieving general significance, structuring theoretical arguments, and anticipating typical reviewer critiques. Use this before submission to stress-test your work and shape it for a higher chance of acceptance.

This comprehensive guide provides strict structural and technical guidelines for authors submitting papers to ACM SoCC. It mandates focusing on cloud-scale problems recognized by operators, emphasizing contributions at the intersection of systems and data. Key requirements include reporting tail latency (p95/p99) and concrete cost models, grounding every claim in measured, real-world evidence, and explicitly stating external limitations.

This skill provides a comprehensive framework for ensuring the mathematical verifiability of advanced algorithms papers (like those submitted to SODA). It guides authors to establish a complete, checkable argument, documenting every claim, explicit model assumption, constant status, and providing machine-checkable steps. It moves beyond simple claims of accuracy to mandate full, reproducible proof structures.

This resource models the complex, multi-stage review process for top-tier academic conferences, such as SOSP. It details the journey of a paper from initial submission through staged reviews, author rebuttal, and the final live committee decision. It helps users understand the structural dynamics of scholarly evaluation and how to strategically respond to reviewers' critiques.

This skill provides a comprehensive assessment framework for submitting manuscripts to the journal 'Systems Engineering Theory and Practice.' It helps researchers determine the manuscript's fit, required methodological depth (e.g., modeling, algorithms), structural adherence, and potential revision paths. It serves as a crucial guide to meet the high academic standards of a specialized systems engineering publication.

A comprehensive guide detailing the complex submission and evaluation pipeline for TACAS (Tools and Algorithms for Scientific Applications). It models key features such as category-specific blind review, the mandatory parallel artifact evaluation for tool papers, and the single-round conference decision-making process, helping authors strategically prepare their submissions.

This skill generates fully valid Microsoft Threat Modeling Tool (.tm7) files. It translates complex system architectures, including components, data stores, data flows, and external actors, into the required WCF DataContractSerializer XML format. Use it for structured STRIDE threat modeling outputs compatible with Microsoft's official tool.

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).

This guide models the entire lifecycle of academic conference submissions, detailing stages like bidding, review writing, author response, and decision-making. It helps researchers strategically plan their work to maximize impact, preemptively address potential weaknesses, and optimize their research communication strategy in a competitive academic environment.

A comprehensive guide detailing the rigorous, journal-style review process for IEEE VIS full-paper submissions. It explains the two-phase evaluation structure, the significance of a 'Conditional Accept' (treating it like a major R&R), and how the process differs fundamentally from single-decision conference models (e.g., CVPR, CHI). Essential reading for authors navigating academic publication.