Skill UI

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 guide details the rigorous, unique evaluation process for academic articles and essays at Yale Law Journal (YLJ). Unlike traditional peer review, student editors conduct anonymous evaluations, focusing heavily on the originality of the claim, the completeness of the apparatus, and crucially, a thorough 'source-pull' where every citation must be rigorously verified and supported by the text. Use this to understand how to structure and prepare manuscripts for scholarly publication.

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 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 skill acts as the central orchestrator for contributors to The Yale Law Journal (YLJ). It guides the user through the entire submission lifecycle, from initial topic selection and thesis development to Bluebook citation checking and final placement strategy. It emphasizes that submissions must be near-final, highly structured, and fully footnoted, directing the user to the appropriate skill path based on the article's track (Article, Note, Feature, etc.) and current stage.

This skill provides comprehensive guidance for authors targeting Living Reviews in Relativity (LRR), a high-impact journal for authoritative, continuously updated review articles in relativity and gravitation. It covers the journal's unique 'living' model, required evidence standards, scope definition, house style, and the long-term commitment required to create a definitive, pedagogical survey article.

Implements GDPR-compliant pseudonymization for sensitive personal or clinical data from EU residents. Unlike full anonymization, this method creates a reversible mapping key, which must be stored separately and securely. This process allows for controlled re-linkage (e.g., for Subject Access Requests or longitudinal care) while maintaining GDPR Article 4(5) compliance by ensuring the linkage key is kept separate from the working data.

This orchestrator manages the entire end-to-end pipeline for preparing technical talks, transforming raw materials—whether code commits (REX mode) or conceptual articles—into polished revision sheets. It sequentially runs through multiple stages (Research, Concepts, Scripting, Revision) with human-in-the-loop checkpoints, ensuring a structured and comprehensive content creation workflow.

This skill transforms diverse raw source materials—such as articles, transcripts, and notes—into a highly structured summary suitable for a presentation or talk. It automatically detects the source type (Real-world Evidence or Conceptual Thesis), extracts the narrative arc, identifies key metrics, outlines main themes, and critically highlights potential gaps, providing a complete foundation for content creation.

This comprehensive skill allows users to search the web using the DuckDuckGo API, retrieving diverse content including text results, news articles, images, and videos. It supports advanced filtering options such as time range, region, content type (e.g., news, images), and specific media characteristics (e.g., image size, video duration). Ideal for research, fact-checking, academic study, and gathering current web resources.

This comprehensive guide provides a detailed checklist for authors preparing manuscripts for submission to the Journal on Communications (JOC). It covers all structural requirements, including correct article sequence (Chinese/English), abstract structure, keyword count, mandatory identifiers (e.g., TN classification), adherence to GB/T 7714 referencing, and plagiarism checks (CNKI > 20% threshold). It also outlines the academic process, fees, and submission ethics, ensuring the paper meets the journal's rigorous three-stage review standard.

Authoritative question-answering engine for the EU Artificial Intelligence Act (Regulation 2024/1689), grounded in 70 official EU source documents. Provides article-level citations, explains concepts, obligations, high-risk classification, penalties, timelines, and cross-framework topics like AI Act and GDPR.