Skill UI

A comprehensive coach designed to guide students and researchers through the entire scholarly writing lifecycle. This skill covers structuring complex academic works—including research papers (IMRaD), theses, dissertations, grant proposals, and conference abstracts. It teaches fundamental writing principles, proper source integration, avoiding plagiarism, and navigating diverse citation styles (APA, MLA, Chicago, GB/T 7714), helping users develop an independent, professional academic voice.

This skill generates structured, professional summaries for clinical case presentations, handovers, and educational documentation. It supports established medical formats like SBAR and SOAP notes, ensuring all necessary components—from subjective complaints to recommendations—are systematically included. Designed for healthcare professionals to improve documentation clarity and facilitate seamless patient transitions. Note: This output is strictly for educational and documentation purposes and must not replace professional clinical judgment.

Automatically generates a comprehensive, tabbed status page (artifact) for large-scale, multi-workstream projects. Ideal for tracking long-running initiatives like software migrations or major launches, providing a single source of truth covering background, plan, risks, and decisions. It generates a shareable, self-contained HTML page and supports delta reporting for easy updates.

This skill provides architectural guidance for writing high-level academic history articles, specifically tailored for the American Historical Review (AHR). It helps writers ensure that the narrative development and the core historical argument are seamlessly interwoven, adhering to strict length and scholarly standards. Use it when outlining complex drafts or restructuring material that feels disjointed.

This guide helps researchers assess the optimal venue for their work, determining if their project aligns best with AISTATS, or if it is better suited for major ML conferences (NeurIPS, ICML, ICLR), UAI, or specific statistics journals. It emphasizes the need for strong statistical foundations, inference guarantees, and the unique intersection of AI, ML, and statistics before starting the writing process.

This comprehensive guide provides expert protocols for writing the 'Related Work' section in Machine Learning papers. It teaches authors how to maintain 'versioned honesty' by meticulously triaging the literature into distinct lanes (e.g., method lineage, model artifacts, evaluation infrastructure). It covers advanced topics like managing concurrent work, citing arXiv status accurately, and avoiding self-citation violations, ensuring the paper is positioned rigorously within the rapidly evolving academic field.

This comprehensive audit checklist guides authors preparing a paper for the COLT Conference on Learning Theory. It details crucial requirements such as the 12-page PMLR format, single-PDF assembly, and double-anonymous formatting. It helps authors preemptively detect common submission flaws, including parallel-submission violations and formatting errors, ensuring the manuscript meets high academic standards.

This guide provides best practices for authors writing the "Related Work" section for interdisciplinary AI conferences. It teaches how to precisely position novelty across multiple domains—including ML fairness, law, HCI, and critical theory—by writing delta-first contrasts and properly attributing borrowed concepts to their original academic source.

This guide outlines the proper placement of various research materials—including proofs, code, and extended results—within major academic conference submissions. It helps authors understand which content must be presented in the main body, which belongs in appendices, and how to correctly manage supplementary manuscripts and code/data supplements to maximize the chance of reviewer acceptance.

This guide teaches researchers how to structure and frame academic papers, specifically for journals focusing on financial intermediation. It emphasizes moving the contribution narrative away from general finance concepts and anchoring it firmly in the roles of institutions, economic friction, causal mechanisms, and policy consequences within the financial system. Use this to strengthen abstracts and introduction paragraphs.

A comprehensive guide for revising academic manuscripts for top-tier law and economics journals. It teaches authors how to restructure the introduction and abstract to follow the law-and-economics arc, ensuring the prose is plain, direct, and seamlessly integrates legal doctrines with rigorous economic analysis for a dual audience.

Provides a comprehensive, time-sensitive playbook for authors responding to reviews (rebuttals) at MLSys. It details how to triage objections, prioritize critical missing measurements, address systems objections regarding workload representativeness and baseline tuning, and structure anonymous, data-driven replies within a compressed rebuttal window.