Guide · Agent skill
How to use the Research Paper Writing agent skill
Updated · written with AI from the project's own documentation and checked against our catalogue data
The Research Paper Writing skill is a set of written guidelines and examples that tells an AI agent how to work on machine learning, computer vision and NLP-style papers. Once it is installed, the agent plans the paper's story first, rewrites sections one paragraph at a time, checks that Abstract and Introduction claims match experimental evidence, and runs a skeptical reviewer check. This guide is for authors and students who have not used agent skills before and want to install the skill, ask for the right kind of help and read what comes back.
Research Paper WritingMaster-cai/Research-Paper-Writing-Skills · MIT Download the skill Quick start
- 1Download the ZIP. Get the research-paper-writing ZIP file from our page.
- 2Unzip into a skills folder. Unzip it into ~/.claude/skills/ for personal use, or into a project's .claude/skills/ folder for one project.
- 3Or upload it in the Claude apps. Alternatively, upload the skill under Settings → Capabilities → Skills.
- 4Make a section-specific request. Name the section you want to work on and paste its text, plus any results that support its claims.
- 5Review the output. Check the outline, revised paragraphs, self-review checklist and claim-evidence map, and address every claim marked needs evidence.
What the skill makes the agent do
The skill covers the Abstract, Introduction, Related Work, Method, Experiments and Conclusion, along with figures, tables and claim-support checks before submission. Its core workflow asks the agent to clarify the paper story before editing sentences, write section by section, and run reverse outlining after each section to confirm that each paragraph's topic sentence supports the thesis.
The skill is mainly guidance rather than software. It sets rules such as keeping one message per paragraph, stating that message in the first sentence, and weakening or removing any claim that results cannot support.
- Outlines the paper's story and section structure
- Rewrites paragraphs around one message each
- Maps Abstract and Introduction claims to experimental evidence
- Runs a five-dimension self-review: contribution, writing clarity, experimental strength, evaluation completeness and method design soundness
How do you install the research-paper-writing skill?
Download the ZIP file from our page and unzip it into one of two places. Use ~/.claude/skills/ to make the skill available to you across projects, or use a project's .claude/skills/ folder to make it available only in that project.
You can also upload the skill in the Claude apps under Settings → Capabilities → Skills. The skill folder should contain SKILL.md at its top level, along with the agents/openai.yaml file and the references/ folder that the skill reads from.
~/.claude/skills/How do you trigger the skill with a natural request?
You do not need a special command. The skill describes when it applies: drafting or revising an Abstract, Introduction, Related Work, Method, Experiments or Conclusion, polishing figures or tables, checking claim-support alignment, or doing a self-review before submission. Ask for one of these tasks in plain language and say which section you want help with.
The guidance tells the agent to load only the section guide it needs for the current edit, so name the section you are working on rather than asking for the whole paper at once.
- Please revise the Abstract of my paper below. It is an ML paper about a new training method.
- Check whether the claims in my Introduction are backed by the results in my Experiments section.
- Run a skeptical reviewer check on my draft before I submit it to a conference.
- Tell me whether the paragraphs in my Related Work section flow and have one message each.
What output should you expect?
When you ask for a rewrite or draft, the skill asks the agent to return four things: a short section outline of three to seven bullets, revised paragraphs labelled with their role (opening, challenge, method, advantage, evidence or limitation), a short self-review checklist, and a claim-evidence map.
Each claim in the map is written in this format: Claim, Evidence, and a Status of either supported or needs evidence. Claims marked needs evidence are the ones the skill asks you to weaken, remove or support with new results.
- Section outline (3 to 7 bullets)
- Revised paragraphs with explicit paragraph roles
- Self-review checklist covering clarity, flow, terminology, unsupported claims and missing evidence
- Claim-evidence map: Claim | Evidence | Status
What does the skill need and what should you check for safety?
The listing says the skill requires nothing beyond itself, runs no scripts and uses no network access. It is made of Markdown guidance files and example files that the agent reads.
The skill cannot verify your data. It improves presentation and does not check whether your research is correct. Treat the reviewer-style feedback as a prompt for your own review, not a substitute for it.
Some files that SKILL.md refers to, such as paper-review.md, introduction.md, related-work.md, method.md and experiments.md, are not in the file list for this skill. Check that these files are present after you unzip it, because the skill may not be able to load them if they are missing.
What tips help get better results?
Give the agent real material. Paste the section text, and where possible the results table or numbers that support each claim. The claim-evidence map is only as useful as the evidence you provide.
Ask for one section at a time, and run the self-review at the end. The skill is designed to revise until major rejection risks are addressed, so expect several passes rather than one.
- Provide results alongside the claims you want checked
- Work section by section rather than the whole paper
- Ask for the reviewer check after your own revisions, not as a first draft
- Keep your terminology consistent and tell the agent which terms you use
What people use it for
- Revising a conference Abstract so its task, challenge, contribution and experiment summary appear in a clear order
- Checking whether each contribution listed in an Introduction is backed by a result in the Experiments section
- Getting a skeptical reviewer-style critique of a draft before sending it to a supervisor or co-author
- Tightening paragraph flow in a Related Work or Method section by checking that each paragraph has one message
Frequently asked questions
Is the research-paper-writing skill free?
The skill is released under the MIT licence, as stated on its listing. The source does not list a price, so check the page you downloaded it from for any terms that apply to your use.
What do I need to install or run the research-paper-writing skill?
The listing says nothing extra is required. It runs no scripts and uses no network. You unzip the skill into ~/.claude/skills/ or a project's .claude/skills/ folder, or upload it in the Claude apps under Settings → Capabilities → Skills.
Is this skill only for machine learning papers?
No, but it is written for ML, computer vision and NLP-style papers. The listing says fields outside these areas are not a good fit, because the guidance follows that style.
Can the skill check whether my research results are correct?
No. The skill improves presentation and checks whether claims line up with the evidence you provide. It cannot verify your data and does not replace your own review of the science.
Why isn't my skill triggering when I ask for help with a paper?
Make sure the skill is unzipped into the correct folder or uploaded in Settings → Capabilities → Skills, and that SKILL.md is at the top level of the skill folder. Then name a task from the skill's description, such as revising an Abstract or running a self-review before submission.
Does the skill write my paper for me?
The listing says it is not for ghostwriting or generating claims without real experimental results. The skill tells the agent to weaken or remove unsupported claims, so it works best when you supply your own draft and results.
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Our verdict
Use this skill if you are preparing an ML, computer vision or NLP paper and want a structured, reviewer-style check of your Abstract, Introduction and claims before submission. Pick something else if your field falls outside these paper styles, if you need help with the science itself, or if you need someone to write claims for you.
Download the skill