Skill UI

This skill performs a rigorous audit of legal journal footnotes, verifying the existence, pinpoint accuracy, Bluebook formatting, and direct textual support for every citation. It is essential for manuscript preparation, particularly before a source-pull audit, ensuring the piece survives scholarly review without citation errors or integrity issues.

This guide details the rigorous, multi-round editing process for legal scholars submitting to high-level academic journals like The Yale Law Journal (YLJ). It trains users on navigating substantive critiques, resolving complex source-pull and citation queries, and adapting the writing process for fast-paced online formats (YLJ Forum). The focus is on maintaining legal integrity and argumentative coherence throughout the intensive revision cycle.

Provides comprehensive guidelines for constructing academically rigorous legal citations, adhering strictly to The Bluebook format and specific journal requirements. It emphasizes the necessity of pinpoint citations, ensuring every law or fact assertion is supported by an authoritative source. Essential for law students, legal scholars, and researchers drafting highly accurate scholarly articles.

This skill guides legal scholars in transforming a broad legal topic into a single, sharp, contestable, and generalist thesis statement suitable for top-tier law journals. It forces the definition of the contribution's nature—whether descriptive, doctrinal, theoretical, or normative—and structures the argument into a clear, defensible 'contribution contract' for academic editors.

This skill provides a rigorous fit test for legal scholarship ideas targeting The Yale Law Journal (YLJ). It helps users determine if their claim has generalist significance beyond a single niche, whether the argument is substantial enough (a claim, not a survey), and what the appropriate format (Article, Essay, Forum) should be. It is crucial for pre-drafting evaluation.

This workflow performs a comprehensive review against the Azure Well-Architected Framework (WAF) using your existing Infrastructure as Code (IaC) and deployed resources. It systematically checks the five pillars—Reliability, Security, Cost Optimization, Operational Excellence, and Performance Efficiency—identifying architectural risks, drift, and compliance gaps. Findings are automatically logged and converted into actionable GitHub issues for streamlined remediation.

A guide on how to sharpen the marginal contribution of an academic manuscript for specialized journals (like JEG). It teaches authors to transform vague statements into precise, one-sentence claims that clearly advance understanding in growth theory or empirical econometrics, focusing on mechanisms and causal channels.

This guide helps polish academic manuscripts for submission to specialized journals, such as the Journal of Financial Intermediation (JFI). It ensures adherence to institutional house conventions (numbered sections, author-date referencing, concise abstract) and, critically, structures the argumentation to explain the underlying economic mechanism *before* presenting formal econometric specifications, elevating the paper's scholarly rigor.

This skill guides researchers in transforming raw empirical findings into robust, portable, field-level theoretical contributions suitable for top-tier journals. It provides a structured framework for elevating results by defining explicit communication mechanisms, establishing scope conditions, and articulating observable implications. It ensures the work contributes to the core body of theoretical communication knowledge, moving beyond simple effect documentation.

This guide outlines best practices for structuring supplementary materials for OOPSLA submissions. It emphasizes the 'layering decision,' ensuring the core body can stand alone while appendices provide necessary proofs and technical details. It covers maintaining double-anonymity across all included content and performing crucial cross-checks for consistency across multiple review rounds.

Scans your local machine's Git history to locate abandoned or unfinished side projects. It performs a deep 'autopsy' on these repositories, determining their causes of death (e.g., deployment fear, killed by newer ideas) and identifying personal developmental patterns. The tool then surfaces the most promising candidate for resurrection, helping you finally ship it.

A comprehensive guide for authors submitting to SIGMETRICS, detailing how to structure the Related Work section. It emphasizes shifting from a simple citation catalog to a 'delta-first' contrast, highlighting the specific technical novelty (e.g., tighter bounds, weaker assumptions) relative to existing literature across multiple performance evaluation lanes (systems, measurement, learning, etc.).