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Scientific Prose Style

Community
Boom5426
scientific-prose-style

Prose-quality rules for writing scientific manuscript text: abstract, introduction, results, discussion. The headline rule is a strict em-dash budget: the long dash (—) is overused and reads as a stylistic tic, so cap it and rewrite with commas, colons, parentheses, or a period. Also caps semicolons and colons, the usual replacements, and covers hedging, sentence rhythm, paragraph openers, and AI-sounding prose (去 AI 味, AI 味重, sounds AI-generated) with an information test, a corpus-checked list of tells and a detection script. Load whenever drafting or revising manuscript prose (not figures; that is figure-planner).

Overview

PublisherBoom5426
RepositoryNature-Paper-Skills
Skill namescientific-prose-style
Stars
570
Forks
48
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Boom5426 on GitHub. Read the source before you install it.

Installation

Install the Scientific Prose Style AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Boom5426/Nature-Paper-Skills/tree/main/skills/core/scientific-prose-style
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Boom5426/Nature-Paper-Skills.git /tmp/Nature-Paper-Skills
mkdir -p .claude/skills
cp -r /tmp/Nature-Paper-Skills/skills/core/scientific-prose-style .claude/skills/scientific-prose-style
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scientific Prose Style in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Scientific Prose Style on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Scientific Prose Style is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

scientific-prose-style

Rules for the prose of a scientific paper — the sentences of the abstract, introduction, results, and discussion. Load this whenever you draft or revise manuscript text. (Figure planning lives in figure-planner; this skill is about words on the page.)

This skill owns punctuation, rhythm and word-level tells, and it runs last. When a passage is hard to follow for reasons punctuation cannot fix, such as an unstable claim, a missing evidence link, or a paragraph whose job is unclear, fix that first with manuscript-optimizer or scientific-writing. Re-punctuating a sentence whose scientific role is wrong does not make it readable, and polishing a drifted Review before its review-article-architecture drift audit makes the drift harder to see.

One layer sits directly above this one. anti-defensive-writing owns authorial posture at the paragraph level: what a paragraph leads with, where a caveat sits, and whether a sentence exists to advance the argument or to pre-empt an objection. Run it first. Stripping defensive scaffolding rewrites paragraph openers and sentence boundaries, which is exactly what Rule 3 and Rule 5 below then have to settle, so running this skill first means doing that work twice. Rule 3 here calibrates hedges within a sentence; deciding whether the hedge should exist at all belongs upstairs.

Rule 1: Em-dash budget (the headline rule)

The long em-dash (—) is the single most overused mark in generated scientific prose. It feels punchy in isolation but a reader hits three or four per paragraph and it reads as a stylistic tic, not as writing. Cap it.

  • At most one em-dash per paragraph, and none in the abstract. If a sentence already has one, the next clause that wants a dash gets a different mark.
  • Never use a pair of em-dashes to bracket an aside if a comma pair or parentheses would do — the double dash is the worst offender.
  • Prefer, in rough order: comma (mild pause), colon (a list or an expansion of what precedes), parentheses (a true aside the sentence reads fine without), or split into two sentences (the strongest fix for a long dash-spliced line).

Substitution table

Em-dash useReplace withExample fix
Pause before a summary/payoffcolon...never been tested — this is our entry point. → ...never been tested. This is our entry point.
Bracketed aside (pair of dashes)commas or parenthesesno model — including ESM — beats chance → no model, including ESM, beats chance
Appositive / renamingcommaallele-resolution prediction — telling apart variants → allele-resolution prediction, i.e. telling variants apart,
Abrupt contrastperiod + connective, or "but"real but sub-threshold — the effect vanishes → real but sub-threshold: the effect vanishes
Range or span (this is fine)keep an en-dash –, not em370–1000 cells stays 370–1000

Before → after (from a real over-dashed abstract)

Before (5 em-dashes, tic-heavy):

Starting from the hardest instance of the problem — allele-resolution prediction, distinguishing many coding variants of the same gene — we assemble a benchmark, and find this is a measurement limit, not a model limit — a split-half floor shows the distance is no larger than sampling noise.

After (0 em-dashes, same content):

We start from the hardest instance of the problem: allele-resolution prediction, which distinguishes many coding variants of the same gene. On the benchmark we assemble, the ceiling turns out to be a measurement limit rather than a model limit. A split-half floor analysis shows the perturbation-versus- control distance is no larger than the sampling noise between two halves of a variant's own cells.

Note what the rewrite does: promotes one clause to its own sentence, turns the bracketed aside into a relative clause, and swaps the contrast dash for "rather than." The prose is calmer and each sentence carries one idea.

Rule 2: Don't trade the dash for a colon or semicolon tic

Colons and semicolons are the natural replacements, and the same overuse applies.

  • Colons: at most one per sentence. If every sentence in a paragraph ends ...: <expansion>, you have just moved the tic.
  • Semicolons: none in the abstract, and at most one per paragraph elsewhere. Published prose rarely uses them. In paper-workflow's section evidence, 3 of 23 typeset method-paper abstracts and 1 of 12 Nature abstracts have one, and three quarters of the Results and Discussion paragraphs have none. Two clauses joined by a semicolon are usually two sentences. Semicolons that separate list items already containing commas, or statistics inside parentheses, do not count.

Vary the repair. Most become periods, some become commas or a plain connective (and, but, so).

Rule 3: Hedge once, not thrice

Scientific prose stacks hedges (may possibly suggest that ... could in principle ...). State the claim with one qualifier and the confidence level, then stop. These results suggest X — not These results may tentatively be taken to suggest that X could hold.

Rule 4: Vary sentence length, one idea per sentence

A paragraph of uniformly long, clause-heavy sentences is as fatiguing as the dash tic. Follow a long sentence with a short one. If a sentence has three clauses joined by dashes, semicolons, and "and," it is three sentences.

Rule 5: Openers and connectives

  • Don't open consecutive paragraphs with the same word (We ... We ... We ...).
  • Prefer plain connectives (but, so, because, here) over heavy ones (moreover, furthermore, additionally) unless enumerating.

Rule 6: Every word carries information (AI tells)

Prose reads as machine-written when words carry nothing: an intensifier on a plain fact (ultimately, a clear boundary), a frame that inflates a modest point (not only ... but, in its own right), a sentence that repeats the last one (In this way, ...), or vocabulary that published papers almost never use (delve, underscore, pivotal, shed light). Apply the information test: delete the word or sentence, and if the reader loses no fact, number, condition or link, leave it deleted. Never swap a tell for a synonym, and never reword a frame (a decision problem as well as a modelling one is the same frame): replace it with its content.

Most words called AI vocabulary are common in published papers (robust, moreover, notably, highlight), so do not cut by word list. references/ai-tells.md gives the families, the corpus rates and the cases that stay, and scripts/ai_tells.py lists candidates in a draft. Recaps, forward pointers and rhetorical questions are anti-defensive-writing's commentary voice. Coined terms and weak subjects are write-scientific-manuscript's.

Body text carries no bold sentences. Emphasis comes from position, the first sentence of a paragraph, not from formatting.

Self-check before you hand prose back

Run this on any abstract/intro/section you write:

  1. Count em-dashes and semicolons. More than one of either per paragraph, or any in the abstract → rewrite the excess with the substitution table or as separate sentences.
  2. Count paragraph-opening words. Repeated opener → vary it.
  3. Read the longest sentence aloud. If you run out of breath, split it.
  4. En-dashes in numeric ranges (5–10) and hyphens in compounds (single-cell) are fine and are not counted against the budget.
  5. Run the information test on intensifiers, frames and closing sentences (Rule 6). For a whole section, run scripts/ai_tells.py and read every flagged line.

Provenance: adapted from the Claude Science scientific-prose-style skill (Apache-2.0). Cross-references to figure skills were repointed to this repo's figure-planner, and a pointer to the anti-defensive-writing layer above this one was added.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Scientific Prose Style AI skill do?

Prose-quality rules for writing scientific manuscript text: abstract, introduction, results, discussion. The headline rule is a strict em-dash budget: the long dash (—) is overused and reads as a stylistic tic, so cap it and rewrite with commas, colons, parentheses, or a period. Also caps semicolons and colons, the usual replacements, and covers hedging, sentence rhythm, paragraph openers, and AI-sounding prose (去 AI 味, AI 味重, sounds AI-generated) with an information test, a corpus-checked list of tells and a detection script. Load whenever drafting or revising manuscript prose (not figures...

Why use Scientific Prose Style on TypingMind?

Because you install it once and use it with any model. Scientific Prose Style is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Scientific Prose Style in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Boom5426/Nature-Paper-Skills/tree/main/skills/core/scientific-prose-style. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Scientific Prose Style?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Scientific Prose Style?

As many as you like. As long as a model supports skills, you can use Scientific Prose Style with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Scientific Prose Style AI skill free?

Yes. It is published on GitHub by Boom5426 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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