學術
ML Literature Review / Related Work Skill
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.