Claude Skills for Academic Writing: Thesis, Research Papers, and Peer Review
The Claude skills that help at the writing stage of research — structuring a thesis or paper, drafting with verified citations, self-review before submission, responding to reviewers, and grant proposals — and what each one is best at.
Most AI advice for researchers stops at finding and summarizing papers. The harder part comes after: turning notes into a thesis chapter or paper with a clear argument, getting every citation right, surviving review, and writing the rebuttal. These are the Claude skills built for that stage.
Quick answer: which skill for which job
- Plan, draft, and review a thesis or paper (any field): Academic Research Skills
- Fix structure before submission: Research Paper Structure Editor
- Write an ML or AI conference paper: ML Paper Writing
- Respond to reviewers: Academic Rebuttal Writer
- Write a grant proposal: Grant Proposal Writer
- Keep the prose sounding like you: Avoid AI Writing
For a Thesis or Paper in Any Field: Academic Research Skills
Academic Research Skills is an open-source Claude Code plugin that covers the writing pipeline end to end. /ars-outline plans the structure, /ars-write drafts, /ars-citation-check verifies references, /ars-review gives a multi-perspective peer review, and /ars-revision works through comments. It supports APA 7, Chicago, MLA, IEEE, and Vancouver, and stops for your confirmation between stages.
For a thesis, the most useful habit is running /ars-review on each chapter before it goes to your supervisor, so meetings spend time on the argument rather than on structure and missing references.
Before Submission: Research Paper Structure Editor
The Research Paper Structure Editor checks whether the paper holds together. It builds a reverse outline from each paragraph's topic sentence and checks it against the section's thesis, maps every claim in the Abstract and Introduction to the result that supports it, and runs an adversarial self-review. It was written for ML, computer vision, and NLP papers, but a claim-evidence map is useful in any empirical field.
Review my Introduction and Method sections before I submit. Build a reverse outline, flag paragraphs that don't serve the section's point, and list every claim in the Introduction with the result that supports it, or "unsupported".
For ML and AI Papers: ML Paper Writing
ML Paper Writing targets NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. Its strongest feature is the citation workflow: search Semantic Scholar, CrossRef, or arXiv, confirm the metadata, check that the claim actually appears in the source, and only then add the BibTeX entry. A claim ledger stops unsupported claims from reaching the manuscript. For the full project from experiment design to submission, see the ML Research Paper Pipeline.
After Review: Academic Rebuttal Writer
The Academic Rebuttal Writer classifies each reviewer comment by severity (major, minor, typo, misunderstanding), picks a deliberate strategy for each (accept, defend, clarify, or run an experiment), and drafts a rebuttal that acknowledges what reviewers got right before addressing their concerns. A final tone pass removes defensive language.
Here are the three reviews for my paper. Classify every comment, suggest a strategy for each, and draft a rebuttal within the 5,000-character limit. Reviewer 2 misread our baseline; clarify without sounding defensive.
For Funding: Grant Proposal Writer
The Grant Proposal Writer produces first drafts that follow the funder's template (for example, an NSF project summary, intellectual merit, and broader impacts) using your prior papers and project data as source material, and supports resubmissions.
Keep It in Your Voice: Avoid AI Writing
Examiners and reviewers increasingly notice AI-sounding prose. The Avoid AI Writing skill audits a draft for the vocabulary, structure, and formatting patterns that give it away, and rewrites them. Run it on anything Claude drafted before it goes out under your name.
Ground Rules for Academic Writing with Claude
- Your argument, Claude's scaffolding. Use Claude for structure, clarity, and checks. The claims and the interpretation should be yours.
- Verify every reference. Open each source and confirm it says what the sentence claims.
- Follow your institution's rules. Many require disclosing AI assistance in theses and papers.
- Keep your drafts. Save the versions you accept; AI output won't come out the same twice.
Still at the reading stage? Start with the best Claude skills for literature review.
Get the Academic Writing Skills
Academic Research Skills
Plugin with /ars-outline, /ars-write, /ars-citation-check, /ars-review, and /ars-revision, pausing for your confirmation at each stage.
Research Paper Structure Editor
Reverse outline, claim-evidence map, and adversarial self-review. Written for ML/CV/NLP papers; the method transfers.
ML Paper Writing
NeurIPS/ICML/ICLR/ACL conventions with a citation-verification workflow and a claim-ledger gate.
Academic Rebuttal Writer
Classifies each comment, picks an Accept/Defend/Clarify/Experiment strategy, and drafts the rebuttal.
Grant Proposal Writer
First drafts that follow the funder template, built from your prior papers and project data.
Avoid AI Writing
Flags and rewrites the patterns that make text read as machine-generated.
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