agentleFS
fmschulzfmschulz/omics-skills/skills/scientific-writing/SKILL.md

scientific-writing

Skill9 starsChanged 4 months agoMITView on GitHub

Draft or revise scientific prose without changing its claims. Use for manuscript sections, proposal narratives, rebuttals, response letters, or a sentence-level clarity review.

41 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use usfiscaldata, research-grants and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • yf8578Skill

    usfiscaldata

    Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.

    Also in 7 projects that use this

  • garri333Skill

    research-grants

    Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.

    Also in 10 projects that use this

  • garri333Skill

    arboreto

    Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

    Also in 9 projects that use this

  • Hongyu-yuSkill

    torch-geometric

    Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

    Also in 9 projects that use this

  • SoljournerSkill

    get-available-resources

    Enumerate installed packages, databases, and tools for engineering workflows

    Also in 9 projects that use this

  • +7 more from garri333

The file

Show its rules and text

We split this skill into the rules it gives an agent

28 rules. 0 are common, 23 are distinctive, and 5 are very specific to this project.

  • 0

    Common

    Most of the 38 edited versions we read keep these.

  • 23

    Distinctive

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill when the output is manuscript prose, or a prose-quality review that keeps the scientific claims as they are.

    line 15
  2. Very specific:

    Use /bio-logic when the question is whether a method, design, causal claim, or interpretation is scientifically justified.

    line 16
  3. Very specific:

    Use /manuscript-review-council for journal-style peer review or a multi-reviewer critique, then bring the evidence-backed revisions back …

    line 17
  4. Very specific:

    Use /proposal-review to critique a funding proposal.

    line 18
  5. Distinctive:

    Before drafting or reviewing, state:

    line 23
  6. Distinctive:

    If a required input is missing, name the gap and limit the affected claim to what the evidence shows.

    line 31
  7. Distinctive:

    Drafting: write in this order: Methods, section outline, manuscript prose, citation audit.

    line 46
  8. Distinctive:

    Writing review: run the five audits in references/writing-quality.md in order.

    line 47
  9. Very specific:

    Run a review -> revise -> review loop until one of these is true:

    line 49
  10. Distinctive:

    no fixable major issues remain

    line 50
  11. Distinctive:

    only minor edits remain

    line 51
  12. Distinctive:

    remove in-plot titles; the legend opens with a short title that names what is shown, not the result

    line 55
  13. Distinctive:

    prefer direct labels and panel labels over large legends

    line 58
  14. Distinctive:

    Keep intermediate artifacts auditable: plan, Methods draft, outline, manuscript draft, citation audit, review notes, and revision notes.

    line 61
  15. Distinctive:

    When the data support a comparative claim ("A recovered more genomes than B"), state it directly with the numbers.

    line 71
  16. Distinctive:

    Never explain away a result with a reason that has not been checked.

    line 72
  17. Distinctive:

    Keep implementation details out of Results: script names, file formats, internal flags, refactors, and runtime bookkeeping.

    line 74
  18. Distinctive:

    Do not use an em dash as the default connector.

    line 75
  19. Distinctive:

    Clutter: remove dead-weight phrases, empty openers, and redundancy.

    line 81
  20. Distinctive:

    Terminology: keep defined terms fixed (the Banana Rule), define each acronym at first use in the Abstract, main text, and each legend, and …

    line 84
  21. Distinctive:

    Numbers and citations: check N, percentages, and significant figures across Abstract, text, tables, and figures.

    line 85
  22. Distinctive:

    Every finding gives the section reference, original text, concrete revision, audit pass, and severity: CRITICAL (misleads the reader), …

    line 87
  23. Distinctive:

    Do not invent data, experiments, citations, reviewer comments, or bibliography entries.

    line 130
  24. Distinctive:

    Do not transcribe numbers from memory when structured tables, JSON, CSV, or prior manuscripts exist.

    line 131
  25. Very specific:

    Do not edit .bib files silently.

    line 132
  26. Distinctive:

    If reviewer feedback needs new evidence, say so directly.

    line 134
  27. Distinctive:

    run reviewer and reviser passes until the remaining issues are minor or blocked by missing evidence

    line 145
  28. Distinctive:

    Solution: Stop the loop, report the repeated issue, and name the artifact that would resolve it.

    line 154

“Common” is measured: kept by at least 6 in 10 of the 38 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Scientific Writing

One scientific-writing skill for Codex and Claude Code. It has two modes that share one role set and one set of hard rules:

  • Drafting and revision: produce a manuscript section or rebuttal from authoritative artifacts and improve it through review and revision loops.
  • Writing review: audit existing prose for clarity, voice, sentence structure, terminology, and numerical consistency without changing the science.

Routing Boundary

  • Use this skill when the output is manuscript prose, or a prose-quality review that keeps the scientific claims as they are.
  • Use /bio-logic when the question is whether a method, design, causal claim, or interpretation is scientifically justified.
  • Use /manuscript-review-council for journal-style peer review or a multi-reviewer critique, then bring the evidence-backed revisions back here.
  • Use /proposal-review to critique a funding proposal; use this skill to write or revise its narrative.
  • A request that only says "write" does not establish scientific-writing intent.

State Assumptions First

Before drafting or reviewing, state:

  • manuscript mode: new draft, revision, rebuttal, review response, section rewrite, or writing review
  • review mode for a writing review (see below)
  • target venue or formatting target when known
  • authoritative artifacts available
  • missing artifacts that block specific claims

If a required input is missing, name the gap and limit the affected claim to what the evidence shows.

Review Modes

ModeTriggerBehavior
full-review"review my manuscript", "writing review"Run all five prose audits on the whole document. Default when the request is ambiguous.
section-review"review the Introduction"Run all five audits on one section.
targeted"fix passive voice", "strip the clutter"Run only the requested audit passes.
interactive"walk me through improving this"Go paragraph by paragraph: original, revision, reason; wait for confirmation.

Instructions

  1. Inventory the artifact bundle before writing or reviewing. See references/workflow.md.
  2. Split the run into the roles in Role Set. Use subagents when the platform offers them; otherwise run the roles in sequence and keep their outputs separate.
  3. Drafting: write in this order: Methods, section outline, manuscript prose, citation audit.
  4. Writing review: run the five audits in references/writing-quality.md in order. Each finding carries a severity tag and a concrete revision.
  5. Apply the Manuscript Rules to every draft and every review.
  6. Run a review -> revise -> review loop until one of these is true:
    • no fixable major issues remain
    • only minor edits remain
    • the remaining issues need evidence that is not available
    • another loop would repeat the same findings without improvement
  7. Review each figure and its legend together:
    • remove in-plot titles; the legend opens with a short title that names what is shown, not the result
    • the legend states what is plotted: panels, axes and units, what colours, shapes, and lines encode, n per group, what error bars or intervals show, and the statistical test; the finding belongs in the Results text
    • plots are greyscale by default; use colour only when it encodes information (a category the reader must tell apart, the one highlighted finding, an ordered or signed quantity), use a colourblind-safe palette, and never make colour the only encoding
    • prefer direct labels and panel labels over large legends
    • flag 3D effects, pie charts, dual y-axes, heavy grids, decorative gradients, and overloaded multi-series plots
    • suggest a sentence or table when a figure shows only one or two values, small multiples for many series, and slopegraphs for before/after contrasts
  8. Keep intermediate artifacts auditable: plan, Methods draft, outline, manuscript draft, citation audit, review notes, and revision notes.
  9. Validate citations before finalizing. Use /crossref-lookup for DOI and title checks.
  10. Report unresolved evidence gaps explicitly instead of smoothing them over.

Manuscript Rules

These rules apply to drafting, revision, and review. Flag violations as MAJOR findings.

  • State each supported claim once, plainly. Do not follow every claim with a caveat sentence.
  • State each limitation once, where it applies (usually one limitations paragraph in the Discussion), and do not repeat it across sections.
  • When the data support a comparative claim ("A recovered more genomes than B"), state it directly with the numbers. Do not soften it with stacked qualifiers.
  • Never explain away a result with a reason that has not been checked. If the cause is unknown, say that it is unknown or name the analysis that would test it.
  • Figure and table legends describe what is shown; they do not restate results or interpretation.
  • Keep implementation details out of Results: script names, file formats, internal flags, refactors, and runtime bookkeeping. Put what a reader needs to reproduce the work in Methods.
  • Do not use an em dash as the default connector. Use a period, comma, colon, semicolon, or parentheses.

Prose-Quality Audits

The reviewer applies five audits in order. Tables, examples, and constraints are in references/writing-quality.md.

  1. Clutter: remove dead-weight phrases, empty openers, and redundancy.
  2. Voice and verbs: change passives that hide the actor to active voice; turn nominalizations back into verbs ("provides a description of" becomes "describes"). Passive is fine when the actor is unknown or when the venue requires it in Methods.
  3. Sentence architecture: flag subjects separated from their verb by more than about 12 words, and paragraphs of uniform sentence length.
  4. Terminology: keep defined terms fixed (the Banana Rule), define each acronym at first use in the Abstract, main text, and each legend, and reject acronyms invented for the authors' convenience.
  5. Numbers and citations: check N, percentages, and significant figures across Abstract, text, tables, and figures; trace statistics cited only through reviews back to the primary source.

Every finding gives the section reference, original text, concrete revision, audit pass, and severity: CRITICAL (misleads the reader), MAJOR (impairs clarity or breaks a Manuscript Rule), or MINOR (worth fixing, does not impede understanding). The reviser handles CRITICAL and MAJOR first.

Input Requirements

  • manuscript request, brief, or target section
  • authoritative artifacts such as prior drafts, notes, protocols, code, logs, or structured results
  • bibliography inputs such as .bib files, DOI lists, or trusted reference notes
  • venue instructions when available

Output

  • manuscript draft or revised section in paragraph prose
  • auditable planning, review, and revision notes
  • citation audit results when citation work is in scope
  • explicit unresolved evidence gaps

Quality Gates

  • claims stay within the supplied evidence, and supported claims are stated without repeated caveats
  • each limitation appears once
  • no result is explained by an unchecked cause
  • Methods trace to real artifacts rather than inference
  • numbers in prose match structured summaries or tables
  • legends describe panels, axes, units, encodings, n, error bars, and tests, and do not restate results
  • figures are greyscale unless colour encodes information, and colour is never the only encoding
  • Results contain no implementation details that belong in Methods
  • citations are validated, inherited from trusted sources, or marked for follow-up
  • reviewer findings are fixed or carried forward as blocked gaps

Role Set

Full contracts are in references/agent-prompts.md.

  • planner: audits the artifact bundle and defines the writing order
  • methods-writer: drafts Methods from source artifacts only
  • structure-writer: creates the section outline and figure/table plan
  • writer: drafts paragraph prose from the plan and the evidence
  • citation-auditor: checks citation correctness, placement, and bibliography safety
  • reviewer: reviews scientific content and prose quality and sets revision priorities
  • reviser: applies evidence-backed fixes and carries blocked issues forward

Hard Rules

  • Do not invent data, experiments, citations, reviewer comments, or bibliography entries.
  • Do not transcribe numbers from memory when structured tables, JSON, CSV, or prior manuscripts exist.
  • Do not edit .bib files silently; describe or stage citation edits.
  • Final manuscript text is paragraph prose; bullets belong only in planning artifacts.
  • If reviewer feedback needs new evidence, say so directly.
  • In a writing review, change delivery, not substance. Flag a claim that looks wrong instead of rewriting it.
  • Respect field and venue conventions, such as passive voice in Methods. Ask about the venue when it is not stated.
  • Preserve the author's voice. Leave a clear sentence alone even if it breaks an audit rule.

Example

Section rewrite with a review loop:

  1. inventory the artifact bundle and identify missing evidence
  2. draft the section in paragraph prose
  3. run reviewer and reviser passes until the remaining issues are minor or blocked by missing evidence
  4. return the revised section and the unresolved gaps

Troubleshooting

Issue: Reviewer feedback asks for experiments, citations, or data that are not in the artifacts. Solution: Mark the issue as blocked by missing evidence and limit the claim to what the artifacts show.

Issue: The draft keeps changing wording without resolving the same major issue. Solution: Stop the loop, report the repeated issue, and name the artifact that would resolve it.

References

  • Workflow and checkpoints: references/workflow.md
  • Role contracts: references/agent-prompts.md
  • Prose audits, phrase tables, Banana Rule, citation tracing: references/writing-quality.md
  • Supporting skills: references/supporting-skills.md
  • Reporting guidelines and citation policy: references/reporting-shortcuts.md

Related Skills

  • /manuscript-review-council: multi-reviewer critique before revision
  • /proposal-review: funding-proposal critique
  • /bio-logic: evidence quality and rigor during revision
  • /crossref-lookup: DOI validation for every cited reference

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.