Skill UI

A sophisticated writing editor designed to remove tell-tale signs of AI-generated text. This tool helps transform overly polished, robotic, or academic prose into natural, human-sounding writing. It detects and corrects patterns such as inflated symbolism, passive voice, vague attributions, and repetitive LLM structures, while also calibrating the output to match an author's specific voice and tone. Ideal for content review, editing, and improving natural communication flow.

This skill generates comprehensive, structured redline edits for Word documents. It captures insertions, deletions, and detailed margin comments, allowing users to conduct professional reviews (legal, copy-editing, technical). The output provides a detailed summary, top-level changes, line-by-line tracking, and clear instructions for applying revisions, ensuring the review process is systematic and actionable.

This guide details the critical process of revising a scholarly review article following feedback from journal editors or peer reviewers (e.g., ARPsych). It provides a structured methodology for addressing coverage gaps, ensuring balance, correcting inaccuracies, and maintaining the integrity of the manuscript's core argument (the 'spine'). It covers everything from point-by-point response letters to handling final copyediting queries.

A comprehensive guide on how to structure the 'Related Work' section for top-tier theoretical computer science conferences (like ICALP). It teaches authors how to prove their results are genuinely new and better by precisely comparing their bounds against the best known literature, correctly crediting prior venues (STOC, FOCS, etc.), and maintaining academic rigor under double-blind guidelines.

A comprehensive guide for polishing sophisticated academic manuscripts, particularly those in Information Systems Research (ISR). This skill helps ensure the contribution is front-loaded, the structure is clear for diverse disciplinary audiences (behavioral, economic, design-science), and the formatting adheres to strict academic standards (e.g., INFORMS author-date style, abstract length limits). Ideal for late-stage editing passes before submission.

This skill guides authors through the complex process of law-review placement, focusing on multi-submission market strategies and timing. It provides critical, YLJ-specific advice, covering seasonal cycles (Spring/Fall), the proper use of offers for expediting, and adherence to YLJ's unique submission rules (e.g., no competitive advantage from expediting, anonymized review). It helps authors optimize the entire submission campaign.

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.