Help write, edit, review, and improve academic papers and scientific manuscripts, especially in Machine Learning, AI, and Computer Science. Trigger whenever the user wants to: draft or edit a research paper, conference paper, or journal article; write an abstract, introduction, related work, methods, experiments, or discussion section; make academic text more concise or clear; structure a paper; write a rebuttal; or craft a grant proposal. Also trigger on terms like "paper", "manuscript", "NeurIPS", "ICML", "ICLR", "CVPR", "ACL", "arxiv", "LaTeX", "conference paper", "peer review", "camera-ready", "ablation study", or "research contribution". Use even for small tasks like "make this paragraph more concise" if the context is academic.
Drafts faculty application documents—research statements, teaching statements, DEI/diversity statements, and cover letters—tailored to a specific job posting, department, and institution. Use this skill whenever the user mentions faculty applications, academic job market, research statement, teaching philosophy/statement, diversity statement, cover letter for a professor position, or anything related to applying for tenure-track or teaching-focused academic positions. Also trigger when the user asks to tailor an existing application document to a new department or posting, or when reviewing/editing drafts of these documents.
Revise scientific papers, manuscripts, and research proposals using principles from Writing Science (Schimel), scientific writing best practices, and structured editorial frameworks. Use this skill whenever a user asks you to review, revise, edit, critique, or improve a scientific paper, research manuscript, journal article, grant proposal, thesis chapter, or academic writing of any kind. Also trigger when users say things like 'make my paper better', 'help me polish this manuscript', 'review my draft', 'edit my Introduction/Discussion/Methods', 'tighten my writing', or 'prepare this for submission'. This skill applies even if the user only shares a single section (e.g., just an Abstract or Introduction). If the user mentions scientific or academic writing quality in any way, use this skill.
Walk through an end-to-end machine learning problem from a vague business prompt all the way to implementation, deployment, and monitoring — narrating your thought process at every step like a senior ML engineer in an interview or design review. Use this skill whenever the user gives a business problem, product scenario, or open-ended prompt that could benefit from an ML solution (e.g., 'How would you build a recommendation system for X?', 'Design a churn prediction model', 'How would you detect fraud at Y?', 'Build me a pricing algorithm'). Also trigger when the user asks for help with ML system design interviews, case study walkthroughs, ML project planning, or any request that involves taking a fuzzy real-world problem and turning it into a working ML pipeline. Even partial triggers like 'How would you approach this ML problem?' or 'Walk me through building a model for...' should activate this skill. This skill produces narrated, structured walkthroughs with working code — not just theory.
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words (by model era), negative parallelisms, collaborative address, hallucinated citations, didactic disclaimers, sudden style shifts, and excessive conjunctive phrases.
Write concise, gap-focused literature review / related work sections for STEM research papers, especially in machine learning, deep learning, computer vision, NLP, and AI. Use this skill whenever the user asks to write, draft, edit, or improve a "related work" section, "literature review," "prior work," or "background" section for a research paper. Also trigger when the user asks to position their paper against existing work, frame a knowledge gap, or compare their contribution to prior methods. Trigger even if the user just says "help me write the related work" or "review the literature for my paper" or "how do I differentiate my paper from prior work." This skill is specifically tuned for ML/AI conference and journal papers (NeurIPS, ICML, ICLR, CVPR, ACL, AAAI, JMLR, TMLR, etc.) but the principles apply broadly to STEM writing.