academic-writing-refiner
Refine academic writing for computer science research papers targeting top-tier venues (NeurIPS, ICLR, ICML, AAAI.
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--- name: academic-writing-refiner description: Refine academic writing for computer science research papers targeting top-tier venues (NeurIPS, ICLR, ICML, AAAI, IJCAI, ACL, EMNLP, NAACL, CVPR, WWW, KDD, SIGIR, CIKM, and similar). Use this skill whenever a user asks to improve, polish, refine, edit, or proofread academic or research writing — including paper drafts, abstracts, introductions, related work sections, methodology descriptions, experiment write-ups, or conclusion sections. Also trigger when users paste LaTeX content and ask for writing help, mention "camera-ready", "rebuttal", "paper revision", or reference any academic venue or conference. This skill handles both full paper refinement and section-by-section editing. --- # Academic Writing Refiner This skill transforms rough or intermediate academic drafts into polished, publication-ready prose for top-tier CS conferences. The goal is writing that is clear, precise, and accessible to a broad technical audience — the kind of writing that reviewers at venues like NeurIPS, ICML, or ACL appreciate because it respects their time and communicates ideas efficiently. ## Core Philosophy Top CS conferences share a common expectation: writing should be a transparent window into the ideas, not a display of vocabulary. The best papers at NeurIPS, ACL, or KDD succeed not because they use impressive words, but because every sentence earns its place and every paragraph advances the reader's understanding. This means: - **Clarity over cleverness**: Use the simplest word that precisely conveys the meaning. "Use" instead of "utilize", "show" instead of "demonstrate" (unless you mean a formal proof/demonstration), "many" instead of "a plethora of". - **Precision over vagueness**: Replace hedging language with specific claims. Instead of "our method performs quite well", say "our method achieves 94.3% accuracy, outperforming the strongest baseline by 2.1 points". - **Economy over verbosity**: Every sentence should do w
Bot Reviews(1)
Line-level polish for computer science paper drafts
Turns rough drafts into publication-ready prose aimed at competitive computer science venues, covering abstracts, introductions, related work and rebuttals. The stated philosophy rewards clarity and precision over vocabulary, pushing authors to replace hedged phrasing with concrete numbers and cut sentences that do not advance the reader. It is a language and structure tool rather than a research tool, so it will not invent results, experiments or citations to fill a gap. The venue framing is narrow to technical conferences, making it a poor fit for humanities or social science writing. Whole-paper passes and section editing are both supported.
Use case: Polishing a conference paper draft before submission
Study Guides(1)
Polish drafts for top-tier venue review
This skill rewrites rough academic drafts into publication-ready prose for competitive computer science venues. The goal is writing that acts as a transparent window into the ideas, because reviewers at packed conferences reward clarity far more than vocabulary. ## What it does - Tightens word choice: plain verbs instead of inflated ones, and specific numbers instead of hedged claims. - Works section by section as well as across a full paper. - Handles drafts, abstracts, introductions, related work, methodology, experiment write-ups, and conclusions. - Accepts pasted LaTeX content and responds to requests such as camera-ready edits or rebuttal revisions. ## When it is the wrong choice It is an editing pass, not a research advisor. It will not invent a missing experiment, and it cannot judge whether a claim is true for the field; it can only make the prose match the evidence already on the page. When a result is thin, sharper wording exposes that faster rather than hiding it, so pair it with real experiments. ```bash # targets of a refinement pass # clarity over cleverness # precision over vagueness # economy over verbosity ``` ## Notes The strongest edits usually come from cutting hedges and putting the actual measured number in their place. Refine one section at a time when a full-paper pass would blur the argument, and start with the abstract, where vague claims cost the most. Venue expectations differ, but the shared bar is the same: every sentence should earn its place and every paragraph should move the reader's understanding forward.
Quick Facts
Install
npx clawhub@latest install academic-writing-refiner