Skill UI

A comprehensive checklist for authors submitting to academic law journals, specifically tailored for The Yale Law Journal (YLJ). It guides users through critical pre-upload steps, including mandatory anonymization checks, adhering to strict length caps (Article, Essay, Forum), verifying Bluebook citation apparatus, and ensuring the use of the official submission portal. This tool helps prevent common submission failures before the final upload.

This skill revises legal prose to match the high standards of major academic journals, ensuring clarity and readability for a generalist legal audience (e.g., non-specialist scholars, judges, and practitioners). It focuses on making the argument visible in the main text, maintaining a confident, plain voice, and properly balancing supporting material in footnotes with core reasoning in the body. Ideal for final polish passes before submission.

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 guide provides a comprehensive framework for authors to articulate the unique and marginal contribution of their research within the highly specialized field of health economics. It teaches how to frame findings against canonical literature, identify specific gaps, and structure the argument to satisfy expert reviewers, ensuring the paper's novelty is clearly demonstrated.

A comprehensive guide for positioning high-impact scientific research for journals like Nature. It covers scope fit, methodological rigor, structural constraints, and techniques for framing complex findings into a universal, compelling narrative for a broad, non-specialist audience.

This guide helps scholars assess if their social, economic, or cultural history manuscript aligns with the rigorous, problem-driven standards of Past & Present. It instructs authors on framing their research around a core "big question"—a genuine historical problem—ensuring comparative significance, adhering to historiographical expectations, and meeting specific academic standards like double-blind review and Chicago style.

A guide for scholars on structuring academic essays to stake a clear, significant contribution within a broad critical conversation. It teaches how to move beyond simple citation dumps by identifying the core scholarly problem, engaging diverse critical traditions, and pre-empting counter-arguments, ensuring the work resonates with both specialists and generalists in the field.

This tool assists researchers in assembling and rigorously validating a complete replication package for academic submission. It checks the master script, pinned environment, data plan, and methodology against specific journal policies, ensuring that every reported number is reproducible and deterministic, preventing 'my machine' errors.

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.).

An AI SDK specifically designed for Dart and Flutter applications. Genkit provides a unified interface for building sophisticated AI agents, defining complex data flows, and integrating various Large Language Models (LLMs) like Gemini, OpenAI, and Anthropic. Use it to manage code generation, structured outputs, tools, and complex operational workflows in Dart.

Exa MCP provides advanced neural search capabilities across the web, specialized code repositories (like GitHub), and corporate/personnel databases. Use it for deep background research, finding the latest news, debugging complex code patterns, or conducting thorough market and competitor analysis.