This is a structured workflow for turning messy academic drafts into reviewer-ready papers, focused on ML/CV/NLP submissions. It enforces one-message-per-paragraph discipline, runs reverse outlining after each section, and includes adversarial self-review checklists before you submit. The approach treats figures and tables as first-class content, not decoration, and maps every major claim in your abstract and intro back to experimental evidence. It's opinionated about paragraph flow (cause, contrast, consequence, refinement) and comes with section-specific guides for introduction, method, experiments, and related work. Use it when you're past the idea stage but your draft still reads like patchwork or when you need to harden claims before sending to reviewers.
npx skills add https://github.com/master-cai/research-paper-writing-skills --skill research-paper-writing