Agent skill

Write Scientific Manuscript

by Yrzsh in Yrzsh/paper-workbench

Diagnose and repair the clarity and logic of manuscript prose, journal-agnostic.

MITAuto-check passed

Install Write Scientific Manuscript

skills CLI
$ npx skills add Yrzsh/paper-workbench --skill write-scientific-manuscript -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Yrzsh/paper-workbench write-scientific-manuscript --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Yrzsh/paper-workbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/write-scientific-manuscript .claude/skills/write-scientific-manuscript && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
write-scientific-manuscript
GitHub stars
112
Token cost
~2.7k tokens
SKILL.md length
1,355 words
Files
1
Skills in repo
3
Repo updated
First seen
Licence
MIT

At a glance

Diagnose and repair the clarity and logic of manuscript prose, journal-agnostic.

  • Works in 5 steps: What single point must the reader… → What information must the reader already… → What evidence supports it? → …
  • A passage is technically correct but hard to follow: buried topic sentences
  • SKILL.md covers Where this sits, Establish the intended meaning, Write for a broad scientific… and Put logic first, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Write Scientific Manuscript is an agent skill from Yrzsh/paper-workbench. Diagnose and repair the clarity and logic of manuscript prose, journal-agnostic. Use when a passage is technically correct but hard to follow: buried topic sentences, missing logical bridges, ambiguous referents, abstract noun chains, overloaded sentences, incomplete comparisons with no stated dataset or metric or direction, scope qualifiers placed too far from the claim, and invented or inflated terminology that should have been an ordinary word. Also covers writing for a broad scientific reader without losing…

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Paper Workbench — 论文写作审查全流程工作台 / End-to-end academic writing & review workbench. The licence is MIT.

When your agent uses it

  • A passage is technically correct but hard to follow: buried topic sentences
  • Missing logical bridges
  • Ambiguous referents
  • Abstract noun chains

Example prompts

  • “/write-scientific-manuscript”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. What single point must the reader understand?
  2. What information must the reader already know for that point to make sense?
  3. What evidence supports it?
  4. What inference is justified, and what remains uncertain?
  5. Why does the point matter at this location in the manuscript?

What it can do on your machine

Read from SKILL.md and the folder at commit 801516a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Write Scientific Manuscript loads about 2.7k tokens when it runs. Until then it costs about 216 tokens; SKILL.md has 1,355 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~216
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Yrzsh/paper-workbench at commit 801516a, republished under its MIT licence (© Yrzsh). 1,355 words, ~2,698 tokens.

Download SKILL.mdSave it as .claude/skills/write-scientific-manuscript/SKILL.md (or your agent's skills folder).
name
write-scientific-manuscript
description
Diagnose and repair the clarity and logic of manuscript prose, journal-agnostic. Use when a passage is technically correct but hard to follow: buried topic sentences, missing logical bridges, ambiguous referents, abstract noun chains, overloaded sentences, incomplete comparisons with no stated dataset or metric or direction, scope qualifiers placed too far from the claim, and invented or inflated terminology that should have been an ordinary word. Also covers writing for a broad scientific reader without losing precision, section-by-section logic patterns, paragraph-level reverse outlines, and keeping observation separate from interpretation. This is the layer between structure and punctuation: use manuscript-optimizer when the claim hierarchy itself is unstable, and scientific-prose-style for the final sentence-level pass.

Write Scientific Manuscripts

Make the science easy to follow before making the prose elegant. Optimize in this order: scientific logic, reader comprehension, evidential precision, then style.

Where this sits

This skill owns clarity and logic diagnosis. It carries no house style and no punctuation budget.

  • manuscript-optimizer when the problem is above the prose: the claim hierarchy, evidence chain, or figure logic is unstable. Fix that first. Polishing a paragraph whose scientific role is wrong wastes the edit.
  • scientific-writing when a section needs drafting or rewriting into full paragraphs, or when the task names a citation style or a reporting guideline.
  • scientific-prose-style last, for punctuation and rhythm. This file deliberately carries no em-dash rule; that skill owns it, and its cap is at most one em dash per paragraph and none in the abstract.
  • results-section-revision when only Results subsection flow and paragraph openings need repair.
  • review-article-architecture when the piece is a Review, survey, or Perspective.
  • rebuttal-response when the prose is a reply to reviewers rather than manuscript text. The claim-calibration ladder there is the same one used below.

Establish the intended meaning

Before rewriting, determine:

  1. What single point must the reader understand?
  2. What information must the reader already know for that point to make sense?
  3. What evidence supports it?
  4. What inference is justified, and what remains uncertain?
  5. Why does the point matter at this location in the manuscript?

Do not polish a sentence whose scientific role is unclear. If necessary, briefly diagnose the logic before drafting.

For file-based revision, identify the authoritative version and preserve citations, figure references, terminology, numbers, and formatting. Read the file before editing it, and rebuild the document when the edit could disturb layout, floats, or cross-references.

Write for a broad scientific reader

  • Assume intelligence but not local project knowledge.
  • Introduce the biological or methodological problem before project-specific machinery.
  • Define an uncommon term when first needed, not several paragraphs earlier.
  • Make referents explicit. Replace ambiguous this, these, and it when the reader could plausibly choose the wrong antecedent.
  • State the logical connection instead of asking the reader to infer it.
  • Prefer a concrete subject and verb over abstract noun chains.
  • Preserve necessary technical detail, but move secondary detail away from the sentence carrying the main claim.

Broad accessibility does not mean removing precision. Keep exact distinctions when they change the scientific meaning.

Put logic first

Give each paragraph one main job. Use this default progression when applicable:

  1. Topic sentence: state the paragraph's point or function.
  2. Necessary setup: provide only the context needed to understand the evidence.
  3. Evidence or reasoning: report the relevant result, comparison, or limitation.
  4. Interpretation: explain what the evidence means at the supported strength.
  5. Connection: show why the next paragraph or section follows.

Do not force all five elements into every paragraph. Do require the first sentence to orient the reader. Avoid paragraphs that begin with implementation detail and reveal their purpose only at the end.

Build explicit bridges between adjacent claims. A valid sentence can still be misplaced if it does not answer the question raised immediately before it.

Read section-logic.md when restructuring a section, an abstract, or a full manuscript.

Prefer the simplest accurate language

  • Use familiar scientific words when they express the same meaning.
  • Prefer short, direct constructions, but vary sentence length naturally.
  • Keep one principal claim per sentence unless two claims are inseparable.
  • Use active voice when it makes the actor or logic clearer; use passive voice when the procedure or result is the natural focus.
  • Remove throat-clearing, duplicated meaning, ornamental transitions, and empty intensifiers.
  • Avoid compressed strings of nouns and stacked modifiers.
  • Do not replace a clear ordinary word merely to sound more sophisticated.
  • Do not use a fragmentary series of very short sentences when the causal or contrastive relation is clearer in one well-formed sentence.

Aim for the mature, restrained vocabulary common in strong general-science journals. Treat Nature style as clarity, economy, reader guidance, and calibrated claims, not as a list of fashionable words.

Read language-guide.md when performing sentence-level revision or terminology cleanup.

Do not invent terminology casually

Use a new label only when all of the following are true:

  • the concept is genuinely distinct from established terms;
  • the distinction is important more than once;
  • existing terminology would be misleading or unwieldy;
  • the label can be defined in one direct sentence;
  • the same label will be used consistently afterward.

Otherwise, describe the phenomenon directly. Do not capitalize, hyphenate, abbreviate, or name an ordinary analytical step to manufacture novelty. Search the manuscript and, when needed, the relevant literature before asserting that a term is standard or introducing a replacement.

Preserve established field terminology even when it is less elegant than a newly invented alternative. If the source uses an unclear coined term, explain the issue and propose a conventional replacement rather than silently creating another term.

Show full SKILL.md (549 more words)Show less

Calibrate claims to evidence

  • Report observations before interpretations.
  • Use show for a result directly established by the analysis; use suggest, is consistent with, or may reflect for supported interpretations.
  • Do not turn association, sensitivity, prediction, or diagnostic evidence into mechanism or causation.
  • Scope conclusions to the evaluated datasets, tasks, conditions, models, or search space when needed.
  • Avoid universal, optimal, robust, general, fundamental, comprehensive, and state-of-the-art unless the design supports the full claim.
  • Distinguish an absence of evidence from evidence of absence.
  • Retain negative or mixed results and explain what they narrow.

Never improve flow by deleting a scientifically important limitation or qualifier. Instead, place the qualifier where it constrains the claim without obscuring the main message.

Revise in passes

Use this order for substantial revision:

  1. Scientific function: identify the role of each section and paragraph.
  2. Argument structure: reorder, merge, or split material so each claim follows from the preceding question or evidence.
  3. Reader prerequisites: supply missing definitions and remove premature detail.
  4. Claim boundaries: align verbs and qualifiers with the evidence.
  5. Terminology: use conventional terms consistently and remove unnecessary labels or abbreviations.
  6. Sentence clarity: simplify syntax, repair referents, and remove redundancy.
  7. Continuity: check transitions, repeated claims, citation placement, and figure callouts.
  8. Read-aloud pass: revise sentences that remain difficult to parse on first reading.

Do not begin by swapping individual words if the paragraph's logic or order is wrong.

Adapt to the manuscript section

  • Title: state the central contribution or finding without claiming more breadth than the study supports. Avoid unexplained acronyms and fashionable umbrella terms that obscure the actual task.
  • Abstract: follow problem → unresolved gap → approach → central evidence → bounded implication. Make it understandable without the main text.
  • Introduction: move from broad problem to specific unresolved question, explain why existing approaches do not resolve it, then state what this study does. Do not write a catalogue of prior methods.
  • Results: lead with the question or purpose, report the result, then give a proportionate interpretation. Keep Methods detail only when needed to understand the comparison.
  • Discussion: begin with the main advance, interpret rather than repeat the Results, compare with prior work, state limitations, and end with a concrete implication rather than generic optimism.
  • Methods: favor exact, reproducible description over rhetorical flow. Define data, preprocessing, splits, models, objectives, metrics, statistics, and selection procedures unambiguously.
  • Figure legends: make the figure interpretable without the Results text; define panels, groups, units, statistics, sample sizes, and visual encodings without adding unsupported interpretation.

Match the requested output

Unless the user requests prose only, provide:

  1. a short diagnosis of the main logical or language problems;
  2. complete ready-to-use revised text;
  3. brief notes only for choices that materially affect scientific meaning.

When revising a whole section, preserve LaTeX, citation keys, italicization, symbols, and figure references unless asked to change them. Do not fabricate citations or silently drop citation placeholders.

When auditing, separate:

  • Must change: incorrect logic, unsupported claims, ambiguous scientific meaning, inconsistent terminology, broken references, or language that materially misstates the evidence.
  • Recommended: substantial improvements to reader comprehension or narrative continuity.
  • Optional: preference-level polishing.

If the user asks only for mandatory changes, report only those and explicitly state when none remain.


Provenance: distilled from a completed revision cycle on a computational-biology manuscript, then generalized. Cross-references adapted to this repository's skills.

© Yrzsh, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/write-scientific-manuscript of Yrzsh/paper-workbench.

Open the folder on GitHubat commit 801516a

Compare with similar skills

Write Scientific Manuscript next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Write Scientific Manuscript compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Write Scientific Manuscript this skillYrzsh/paper-workbench112—~2.7kAutomated safety check: PassMIT
Diagnose Gatewayopenclaw/openclaw392k—~670Automated safety check: PassMIT
Diagnosegithub/awesome-copilot40k1 repos~1kAutomated safety check: PassMIT
Openclaw Repair Sweepopenclaw/openclaw392k—~1.8kAutomated safety check: PassMIT
Scientific VisualizationK-Dense-AI/scientific-agent-skills48k1 repos~3.9kAutomated safety check: NotesMIT
Scientific SchematicsK-Dense-AI/scientific-agent-skills48k1 repos~5.1kAutomated safety check: NotesMIT

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Questions about Write Scientific Manuscript

What does Write Scientific Manuscript do?

Diagnose and repair the clarity and logic of manuscript prose, journal-agnostic. Write Scientific Manuscript is an agent skill from Yrzsh/paper-workbench. Diagnose and repair the clarity and logic of manuscript prose, journal-agnostic.

When should I use Write Scientific Manuscript?

Write Scientific Manuscript fits situations like: A passage is technically correct but hard to follow: buried topic sentences; missing logical bridges; ambiguous referents; abstract noun chains.

How do I install Write Scientific Manuscript in Claude Code?

Run `npx skills add Yrzsh/paper-workbench --skill write-scientific-manuscript -a claude-code`. Or copy the skill folder (skills/write-scientific-manuscript in Yrzsh/paper-workbench) into .claude/skills/write-scientific-manuscript in your project. Claude Code loads it when a task matches its description.

How do I install Write Scientific Manuscript in Codex?

Run `npx skills add Yrzsh/paper-workbench --skill write-scientific-manuscript -a codex`. Or copy the skill folder (skills/write-scientific-manuscript in Yrzsh/paper-workbench) into .agents/skills/write-scientific-manuscript in your project. Codex loads it when a task matches its description.

Can I use Write Scientific Manuscript in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Yrzsh/paper-workbench --skill write-scientific-manuscript -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/write-scientific-manuscript, .gemini/skills/write-scientific-manuscript, .github/skills/write-scientific-manuscript and .opencode/skills/write-scientific-manuscript in your project.

What does Write Scientific Manuscript need to run?

SKILL.md names no scripts, command-line tools or credentials: Write Scientific Manuscript is instructions for the agent only.

Does Write Scientific Manuscript access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Write Scientific Manuscript safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Write Scientific Manuscript use?

Write Scientific Manuscript is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Write Scientific Manuscript use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Write Scientific Manuscript?

Skills that share tags, products or a category with Write Scientific Manuscript: Diagnose Gateway (openclaw/openclaw, 392k stars), Diagnose (github/awesome-copilot, 40k stars), Openclaw Repair Sweep (openclaw/openclaw, 392k stars) and Scientific Visualization (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Write Scientific Manuscript?

Yrzsh (a GitHub user) maintains it in Yrzsh/paper-workbench, which has 112 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 7, 2026.

Source: Yrzsh/paper-workbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.