Claude Scientific Writing Skill Guide
Ten manuscript-drafting recipes — abstract, IMRAD methods, results narrative, discussion, citation reformatting, journal formatting, cover letter, reviewer response, plain-language summary, figure captions — each as a single Claude prompt with the exact manuscript Markdown it produces.
Already know what skills are? Skip to the cookbook. First time? Read the explainer then come back. Need the install? It’s on the /skills/scientific-writing page.

On this page · 21 sections▾
- What this skill does
- The cookbook
- Install + README
- Watch it built
- 01 · Abstract (unstructured, 250-word cap)
- 02 · Methods section (reproducible, past tense)
- 03 · Results narrative (numbers stay in tables, prose tells the story)
- 04 · Discussion (claims first, limitations honest)
- 05 · Citations in APA, AMA, or Vancouver
- 06 · Journal-specific formatting pass
- 07 · Cover letter to the editor
- 08 · Point-by-point response to reviewers
- 09 · Plain-language summary
- 10 · Figure and table captions
- Community signal
- The integrity question
- Where it's used
- Gotchas
- Pairs well with
- FAQ
- Sources
What this skill actually does
Sixty seconds of context before the cookbook — what the scientific-writing skill is, what Claude returns when you invoke it, and the one thing it does NOT do for you.
What this skill actually does
“Write scientific manuscripts. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), abstracts, for research papers and journal submissions.”
— K-Dense-AI, the skill author · /skills/scientific-writing
What Claude returns
You get manuscript prose written in full paragraphs, never bullet points, in IMRAD structure (Introduction, Methods, Results, Discussion) plus the abstract, title, and figure/table captions. The skill runs a two-stage process: first a section outline of key points, then a conversion to flowing scientific prose. It formats citations in APA author-date, AMA numbered superscript, or Vancouver numbered brackets, and checks your study type against the matching reporting guideline (CONSORT for trials, STROBE for observational designs, PRISMA for systematic reviews). It also produces cover letters, point-by-point reviewer responses, and journal-formatting passes, and bundles a LaTeX report template and reference files for IMRAD, citation styles, figures, and reporting standards.
What it does NOT do
It is a drafting aid, not an author — it does not run your statistics, gather your data, or verify that a citation is real, and it cannot grant AI authorship that journals and ICMJE forbid; you still own every claim and must disclose AI assistance.
How you trigger it
Draft the abstract and Discussion for my manuscript in IMRAD, 250-word abstract, AMA citations.Convert my paper's citations from APA to Vancouver and flag any missing DOIs.Write a point-by-point response to these reviewer comments tied to the lines that changed.Cost when idle
~100 tokens
One framing to hold onto: this skill drafts the paper, it does not research it. If you have not built the evidence base yet, start with its sibling — the literature-review skill cookbook covers finding and synthesizing the prior work first. Review the literature, then draft. This post is about the drafting half.
The cookbook
Each entry below is a section you could draft today. They run in manuscript order — abstract, methods, results, discussion — then the submission machinery (citations, formatting, cover letter, reviewer replies) and the public-facing artifacts (plain-language summary, captions). Every prompt references YOUR data files and asks the skill to flag anything it cannot verify. Every entry pairs with one or two skills or MCP servers you already have on mcp.directory.
Install + README
If the skill isn’t on your machine yet, here’s the one-liner. The full install panel (Codex, Copilot, Antigravity variants) is on the skill page.
One-line install · by K-Dense-AI
Open skill pageInstall
mkdir -p .claude/skills/scientific-writing && curl -L -o skill.zip "https://mcp.directory/api/skills/download/37" && unzip -o skill.zip -d .claude/skills/scientific-writing && rm skill.zipInstalls to .claude/skills/scientific-writing
Watch it built
A walkthrough of using Claude to edit and prepare academic writing for journals. It isn’t about this specific skill, but it anchors what AI-assisted manuscript work looks like before you read the prompts.
Abstract (unstructured, 250-word cap)
Draft a single-paragraph abstract from a finished results table and your key claim, sized to a journal's word limit.
ForFirst and corresponding authors writing the last 250 words of the paper, usually after the figures are locked.
The prompt
Use the scientific-writing skill to draft an abstract for ./manuscript.md. Target 250 words, one flowing paragraph, NO labeled sections (no 'Background:' / 'Methods:'). Pull the primary endpoint and effect size from @results.md. Open with the gap, state the design, give the headline number with its 95% CI, end with the one-sentence implication. Avoid undefined abbreviations on first use.What slides.md looks like
## Abstract
Wearable-derived sleep metrics are rarely validated against
polysomnography in free-living adults, leaving clinicians
uncertain how to interpret them. We conducted a prospective
cross-sectional study of 312 adults who wore a consumer
device for one night of in-lab polysomnography. Total sleep
time agreed closely (mean bias 6.4 min; 95% CI -3.1 to 15.9),
but deep-sleep duration was overestimated by 22 min on
average. These findings suggest aggregate sleep duration is
trustworthy for population screening, whereas stage-level
output should not yet guide individual diagnosis.One-line tweak
If the journal mandates a structured abstract, add 'use the journal's required labeled sections (Background, Methods, Results, Conclusions)' — the skill defaults to unstructured prose otherwise.
Methods section (reproducible, past tense)
Turn a bulleted protocol into a flowing Methods section a reviewer can reproduce, with the design, sample, measures, and analysis in order.
ForAuthors converting a lab notebook or pre-registration into manuscript prose.
The prompt
Use the scientific-writing skill to write the Methods section from ./protocol-notes.md. Full paragraphs, past tense, passive where it reads naturally. Cover: design, setting, participants with inclusion/exclusion, measures and instruments (with versions), and the statistical plan (the model, the software, the alpha). Keep the inclusion/exclusion criteria as a short list — Methods is the one place lists are allowed. Define every abbreviation at first use.What slides.md looks like
## Methods
### Study design and setting
We conducted a prospective cross-sectional validation study
at a single academic sleep laboratory between January and
August 2025. The protocol was approved by the institutional
review board (#2024-1187), and all participants provided
written informed consent.
### Participants
Adults were eligible if they were 18-65 years old and
reported habitual sleep of 6-9 hours. We excluded:
- diagnosed sleep disorders
- shift work in the prior 3 months
- current sedative-hypnotic useOne-line tweak
Add 'follow the STROBE checklist for an observational study and flag any item I haven't reported' to get a reporting-guideline gap list alongside the prose.
Results narrative (numbers stay in tables, prose tells the story)
Write a Results section that reports findings as prose without re-listing every cell from the tables, in the order of the hypotheses.
ForAuthors who have the analysis output but keep dumping the whole table into the text.
The prompt
Use the scientific-writing skill to draft the Results section from @analysis-output.csv and @tables.md. Report findings in flowing paragraphs in hypothesis order. Reference 'Table 2' and 'Figure 1' rather than repeating their numbers. Quote only the primary effect, its CI, and the test statistic inline. NO bullet points in Results. Do not interpret — interpretation belongs in the Discussion.What slides.md looks like
## Results
Of 340 enrolled adults, 312 (91.8%) completed the in-lab
night and contributed analyzable recordings (Table 1).
Device-derived total sleep time agreed closely with
polysomnography, with a mean bias of 6.4 minutes
(95% CI, -3.1 to 15.9; Figure 1). Agreement was weaker for
sleep staging: the device overestimated deep-sleep duration
by a mean of 22.0 minutes (95% CI, 17.4 to 26.6), and the
intraclass correlation for REM duration was modest
(ICC 0.51; Table 2). Subgroup estimates by age band are
reported in Supplementary Table S3.One-line tweak
Append 'add a one-sentence signpost at the start of each Results paragraph naming which hypothesis it answers' if a reviewer flagged the section as hard to navigate.
Discussion (claims first, limitations honest)
Draft a Discussion that opens with the principal finding, situates it in the literature, then states limitations without burying them.
ForAuthors who default to a limitations dump and never land the contribution.
The prompt
Use the scientific-writing skill to write a Discussion from ./manuscript.md. Structure: (1) restate the principal finding in one sentence, (2) compare with prior work using @refs.bib, (3) mechanism or interpretation, (4) limitations stated plainly, (5) implications and one next study. Full paragraphs only. Do not overstate causation — this is a cross-sectional design. End on the clinical implication, not the limitations.What slides.md looks like
## Discussion
In this validation of a consumer wearable against
polysomnography, aggregate sleep duration was accurate but
stage-level estimates were not. This pattern is consistent
with prior actigraphy work [12,14] yet contrasts with the
manufacturer's stage-accuracy claims. A plausible mechanism
is that single-channel accelerometry captures gross
immobility well but lacks the EEG signal that defines deep
sleep. This study has limitations. Its cross-sectional,
single-night design cannot establish night-to-night
reliability, and the laboratory setting may not generalize
to home use. For screening, the device is fit for purpose;
for staging, it is not yet ready.One-line tweak
Swap step 5 for 'propose two competing next studies and say which you would run first and why' when the paper is a thesis chapter and you need a research agenda.
Citations in APA, AMA, or Vancouver
Reformat an existing reference list and in-text markers into the citation style a target journal requires.
ForAuthors moving a manuscript from one journal's house style to another's after a desk reject.
The prompt
Use the scientific-writing skill to convert the citations in ./manuscript.md from APA author-date to AMA numbered superscript. Renumber in order of first appearance, convert every in-text (Author, Year) to a superscript number, and rebuild the reference list in AMA order. Flag any reference missing a DOI or page range so I can fix it. Do not invent missing fields — list them instead.What slides.md looks like
<!-- In-text: AMA numbered superscript -->
Wearable validation against polysomnography remains
limited.^1,2 Aggregate duration is generally accurate.^3
## References
1. de Zambotti M, Cellini N, Goldstone A, et al. Wearable
sleep technology in clinical and research settings.
Med Sci Sports Exerc. 2019;51(7):1538-1557.
2. ...
<!-- Needs review (missing fields): -->
- Ref 7: no DOI found
- Ref 11: page range incompleteOne-line tweak
Change the last line to 'cross-check every DOI against the live record and mark any that resolve to a different title' to catch citation drift before submission.
Journal-specific formatting pass
Restructure a finished draft to a single journal's author guidelines — section order, word limits, abstract type, and reference style.
ForAuthors at the submission stage who need the draft to match one journal's exact rules.
The prompt
Use the scientific-writing skill to reformat ./manuscript.md for submission to a target journal. The guidelines: 3,000-word main text, structured abstract (250 words), Vancouver references, separate title page with author affiliations, and one combined Methods+Materials section. Produce a compliance checklist of what changed and flag any section now over the word limit. Keep the science identical — only restructure.What slides.md looks like
## Reformat summary
| Requirement | Status | Note |
|------------------------|----------|-------------------------|
| Main text <= 3000 words| OVER | 3,180 — trim Discussion |
| Structured abstract | DONE | 4 labeled sections |
| Vancouver references | DONE | renumbered [1]-[31] |
| Title page split out | DONE | title-page.md created |
| Methods + Materials | DONE | merged into one section |
Action: cut ~180 words from the Discussion's prior-work
paragraph to meet the limit.One-line tweak
Add 'also generate the cover-letter scaffold with the journal's name and editor placeholder filled in' to chain straight into use case 7.
Cover letter to the editor
Draft a submission cover letter that states the contribution, fit for the journal, and the required attestations in under one page.
ForCorresponding authors who treat the cover letter as an afterthought and weaken the submission.
The prompt
Use the scientific-writing skill to write a one-page cover letter to the Editor-in-Chief for ./manuscript.md submitted to a clinical journal. Cover: the gap, our one-sentence finding, why it fits this journal's readership, and the standard attestations (original work, not under review elsewhere, all authors approved, no undisclosed conflicts). Professional tone, no hyperbole. Leave the editor name and date as placeholders.What slides.md looks like
Dear [Editor-in-Chief],
We are pleased to submit "Validation of a Consumer Wearable
Against Polysomnography in Free-Living Adults" for
consideration as an Original Article.
Clinicians increasingly encounter patient-reported wearable
sleep data but lack validation evidence to interpret it. In
312 adults, we found aggregate sleep duration was accurate
while stage-level estimates were not — a distinction directly
relevant to your readership of sleep clinicians.
This manuscript is original, is not under consideration
elsewhere, and has been approved by all authors. The authors
report no conflicts of interest.One-line tweak
Add 'suggest three qualified reviewers with no conflict, with a one-line justification each' when the journal asks for recommended reviewers.
Point-by-point response to reviewers
Turn a reviewer report into a structured response document with each comment quoted, answered, and tied to the line that changed.
ForAuthors in revision who need to show the editor every concern was addressed.
The prompt
Use the scientific-writing skill to draft a point-by-point response to reviewers from ./reviewer-comments.md and the revised ./manuscript.md. For each comment: quote it verbatim, write a courteous reply, state exactly what changed, and cite the new line or section. Where we disagree, explain the rationale respectfully rather than only complying. Group by reviewer. Keep the tone collegial even on the harsh comments.What slides.md looks like
# Response to Reviewers
## Reviewer 1
**Comment 1.1.** "The single-night design cannot speak to
night-to-night reliability."
*Response.* We agree and thank the reviewer. We have added
this explicitly as a limitation (Discussion, para. 4,
"its cross-sectional, single-night design cannot establish
night-to-night reliability") and softened the abstract's
claim accordingly.
**Comment 1.2.** "Consider reporting Bland-Altman limits of
agreement."
*Response.* Added. Limits of agreement now appear in
Figure 1 and are quoted in Results, para. 2.One-line tweak
Add 'produce a clean tracked-changes summary table mapping each comment to the manuscript section it touched' for editors who want an at-a-glance audit.
Plain-language summary
Write a plain-language summary at a general-reader reading level that keeps the finding accurate without jargon.
ForAuthors meeting a funder or journal requirement for a lay abstract, and anyone writing the press-office blurb.
The prompt
Use the scientific-writing skill to write a 150-word plain-language summary of ./manuscript.md for a general audience (around an 8th-grade reading level). No undefined jargon, no statistics notation. Explain what we asked, what we found, and why it matters for someone wearing a sleep tracker. Do not overstate — be clear that staging is the part that isn't accurate yet. One short paragraph.What slides.md looks like
## Plain-language summary
Millions of people wear watches and rings that claim to
track their sleep, but few studies have checked those numbers
against the gold-standard test done in a sleep lab. We
compared one popular device with the lab test in 312 adults.
The device was good at estimating how long people slept
overall — close enough to be useful for general health
checks. But it was not accurate at telling apart the
different stages of sleep, such as deep sleep. So if your
tracker says you got a certain amount of deep sleep, treat
that number with caution. The total hours, though, are
probably about right.One-line tweak
Add 'also produce a 280-character version for social media that keeps the caveat' to get the press-office tweet in the same pass.
Figure and table captions
Write self-contained captions that let a reader understand each figure and table without reading the body text.
ForAuthors whose captions currently say 'Results of the analysis' and nothing more.
The prompt
Use the scientific-writing skill to write captions for every figure and table in ./manuscript.md. Each caption must be self-contained: state what is shown, the sample size, what the error bars or shading represent, and define every abbreviation used in that exhibit. Match the journal's style (sentence case, bold figure number). Do not duplicate Results prose — the caption describes the exhibit, the text interprets it.What slides.md looks like
**Figure 1.** Agreement between device-derived and
polysomnography total sleep time (n = 312). Bland-Altman
plot; the solid line shows mean bias (6.4 min) and dashed
lines the 95% limits of agreement (-58 to 71 min). Each
point is one participant. PSG, polysomnography.
**Table 2.** Stage-level agreement by sleep stage (n = 312).
Values are intraclass correlation coefficients (ICC) with
95% confidence intervals. ICC < 0.50 indicates poor
agreement. REM, rapid eye movement.One-line tweak
Add 'flag any caption that repeats a sentence already in the Results so I can cut the duplication' — journals reject decks of figures that restate the text.
Community signal
Three voices on AI-assisted research writing. The first sets the honest workflow, the second names the real entry point, the third is the maintainer’s own positioning of the library this skill lives in.
“the writing is yours. The model is a mirror, an editor, and an organizer — not a ghostwriter.”
Utkarsh Mittal, Towards Explainable AI · Blog
The cleanest framing of how to use a writing model honestly: it drafts and reorganizes, you own the claims. This is the discipline the scientific-writing skill is built around.
“The skill is particularly useful when you are entering a new research area and need to quickly understand who argued what.”
Ilya Shabanov, The Effortless Academic · Blog
From a PhD researcher's tutorial on Claude skills for academics. It captures the real entry point — orienting in an unfamiliar literature before you start drafting.
“Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide.”
K-Dense AI (project README) · Blog
The maintainer's own positioning. scientific-writing is one skill inside this 140+ skill library; that breadth is why its 'pairs with' lists (literature-review, data-analysis, peer-review) all resolve to siblings in the same repo.
The integrity question
The sharpest critique of any AI writing tool in science is not about quality — it is about authorship and accountability. The clearest statement of the line comes from the ICMJE Recommendations (Defining the Role of Authors and Contributors):
“Authors are responsible for the work and should be able to identify which co-authors are responsible for specific other parts of the work. Nonhuman artificial intelligence, language models, machine learning, or similar technologies do not qualify for authorship.”
ICMJE Recommendations (Defining the Role of Authors and Contributors) · Blog
From the ICMJE authorship recommendations.
This is the right line, and it does not conflict with the skill. The skill is a drafting aid, not an author. Use it the way Utkarsh Mittal frames it — a mirror and an editor — and you stay compliant: you write the claims, you verify every citation, and you disclose AI assistance in the methods or acknowledgments per the journal's policy. The danger is using any tool to generate sentences you then submit without checking. The cookbook prompts above lean against that on purpose: every one references YOUR data files, asks the skill to flag missing or unverifiable fields, and keeps interpretation in your hands.
So the honest verdict: this is a drafting aid that earns its keep on the mechanical, error-prone parts of writing — citation reformatting, reporting-guideline checks, reviewer-response structure — and a liability the moment you submit a sentence or a citation you have not checked. Disclose the assistance, verify every number, and the skill is a force multiplier rather than a shortcut around your own judgment.
Where the skill is used
The scientific-writing skill is the writing core of K-Dense AI’s scientific-agent-skills library. These are the first-party projects and practitioner write-ups that build on it — useful for seeing the broader workflow the skill slots into.
- K-Dense AI — scientific-writing is the core writing skill inside the scientific-agent-skills library (140+ skills, 100+ databases)
- K-Dense AI — Scientific Writer / claude-scientific-writer: a general-purpose scientific writer built on the same skill
- Ilya Shabanov (PhD researcher) — 'Claude Skills for Academics' tutorial series walking through skill setup for research writing
- Utkarsh Mittal — 'How to Use Claude to Write Research Papers' (the mirror-not-ghostwriter workflow)
- Dr Neale O'Connor — 'Claude A.I. for Academic Writing' video walkthrough for journal submissions
Gotchas (the four that bite)
Sourced from the scientific-agent-skills repo and the SKILL.md’s own constraints.
It will not catch a hallucinated citation
The skill formats and renumbers references and flags missing fields, but it cannot confirm a paper exists. Cross-check every DOI against the live record yourself — this is the single most common AI-writing failure, and it is yours to prevent.
The abstract is unstructured by default
The SKILL.md explicitly avoids labeled abstract sections (Background:, Methods:, Results:). If your journal requires a structured abstract, say so in the prompt, or you'll get one flowing paragraph and a desk-format reject.
No bullet points in the final manuscript
The skill writes full paragraphs on purpose — bullets are allowed only in Methods criteria lists and supplementary material. If you wanted a slide-style summary, that's the wrong tool; reach for scientific-slides instead.
Statistics are your job, not the skill's
It writes up the numbers you give it; it does not compute effect sizes, CIs, or ICCs. Pair it with the data-analysis skill so the inline statistics and the tables come from the same source and cannot drift.
Pairs well with
Curated to match the cookbook’s actual integrations: the research-and-writing siblings from the same library (literature-review, scientific-brainstorming, peer-review, data-analysis) plus the reference and PDF servers the submission use cases lean on.
Related skills
Related MCP servers
Two posts that compose well with this cookbook: the literature-review skill guide covers the research half you run before drafting, and What are Claude Code skills? covers the underlying mechanism.
Frequently asked questions
What is the difference between the scientific-writing skill and the literature-review skill?
They are two halves of one workflow from the same K-Dense-AI repo. The literature-review skill finds and synthesizes the prior work — searching databases, building a PRISMA-grade evidence table. The scientific-writing skill drafts the paper: abstract, IMRAD sections, citations, and journal formatting. Review the literature first with one, then draft with the other. We cover the review half in the companion post, /blog/claude-literature-review-skill-guide.
How is scientific-writing different from the scientific-brainstorming skill?
Scientific brainstorming is upstream — it pressure-tests your hypothesis, design, and confounders before you collect data or write. Scientific writing is downstream — it turns a finished study into manuscript prose. Use scientific-brainstorming to shape the question, then scientific-writing to write it up. They pair well: brainstorm the design, then draft the Methods that describe it.
Which citation styles does the scientific-writing skill support?
Three named in the skill itself: APA (author-date, common in social sciences), AMA (numbered superscript, common in medicine), and Vancouver (numbered square brackets, the biomedical standard). Use case 5 shows an APA-to-AMA conversion. The skill renumbers in order of first appearance and rebuilds the reference list, and it flags missing fields rather than inventing them — but you must still verify each reference resolves to a real record.
Does the skill handle reporting guidelines like CONSORT, STROBE, and PRISMA?
Yes. The skill maps your study type to its reporting guideline — CONSORT for randomized trials, STROBE for observational studies, PRISMA for systematic reviews — plus STARD, TRIPOD, ARRIVE, CARE, and others in its references. Ask it to 'follow the STROBE checklist and flag any item I haven't reported' (use case 2) and it returns a gap list alongside the prose, so you catch missing items before a reviewer does.
Is it ethical to use AI to write a research paper?
Using it to draft and reorganize is widely accepted; using it to fabricate text or citations you submit unchecked is not. ICMJE and major journals are explicit: AI cannot be an author, and you must disclose AI assistance. The honest pattern, as one practitioner puts it, is that the model is 'a mirror, an editor, and an organizer — not a ghostwriter.' You own every claim, you verify every citation, and you disclose. The cookbook prompts here are built around that discipline.
Will journals or AI detectors reject a paper drafted with this skill?
Disclosed, human-verified AI assistance is permitted by most major journals — the requirement is disclosure and accountability, not abstinence. The risk is not the tool; it is submitting unverified content. Because the skill works from your own data files and flags fields it cannot confirm, the verification burden stays visible. Read your target journal's AI policy, disclose in the methods or acknowledgments, and confirm every number and citation yourself.
Is there a scientific-writing MCP server I should use instead of the skill?
For the writing itself, the skill is the right primitive — it is roughly 100 idle tokens and loads only when you ask for manuscript work. The MCP servers worth adding are the data sources it pairs with: a Zotero MCP for your reference library, or PubMed and OpenAlex servers for the literature the paper cites. Compose the skill (drafting) with those servers (sources). A skill costs idle tokens only when triggered; an MCP server's tool schemas load every turn, so reach for servers when you need live lookups, not for the prose.
Sources
Primary
- K-Dense-AI scientific-writing SKILL.md (the skill manifest)
- K-Dense-AI scientific-agent-skills library
- ICMJE — Defining the Role of Authors and Contributors
- EQUATOR Network — CONSORT / STROBE / PRISMA reporting guidelines
Community
- Utkarsh Mittal, Towards Explainable AI — Blog / GitHub
- Ilya Shabanov, The Effortless Academic — Blog / GitHub
- K-Dense AI (project README) — Blog / GitHub
- Dr Neale O'Connor: Asia Tech & Supply Chain — YouTube (Claude A.I. for Academic Writing)
Critical and contrarian
Internal