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Science Writing

skill-shikaijieskj-science-skills-science-writing · by shikaijieskj

Draft, restructure, or plan Science/AAAS-family manuscript prose from author-provided claims, results, figures, notes, or Chinese drafts. Use when the user wants to write or rebuild a title, abstract, introduction, Results narrative, Discussion, significance paragraph, full outline, or claim-evidence argument for Science, Science Advances, Science Robotics, Science Translational Medicine, or rela…

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Install

$ agentstack add skill-shikaijieskj-science-skills-science-writing

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Declared compatibility

Claude CodeClaude Desktop

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About

Science Writing

Use this skill to build manuscript argument before sentence polish. Science-family writing must make a broad reader care, then make a specialist trust the evidence.

Core stance

  • Author evidence comes first. Do not invent results, sample sizes, mechanisms, novelty,

statistics, references, datasets, code, ethics approvals, or limitations.

  • Make the advance legible to a reader outside the narrow subfield.
  • Use broad significance only when it is anchored to specific evidence.
  • Prefer decisive, bounded claims over inflated novelty.
  • If a required input is missing, draft a scaffold with placeholders and flag the gap.

Open extra files

| File | Open when | |---|---| | [references/article-architecture.md](references/article-architecture.md) | Need section-level argument order, article-type routing, or full-outline structure | | [references/abstract-introduction-results.md](references/abstract-introduction-results.md) | Drafting or revising abstracts, introductions, Results openings, or Discussion arcs | | [references/science-corpus-observations.md](references/science-corpus-observations.md) | Need article-sample observations, title patterns, or Science-family style heuristics | | [references/chinese-author-workflow.md](references/chinese-author-workflow.md) | User provides Chinese notes, mixed Chinese-English lab notes, or asks for Chinese explanation |

Intake

Before drafting, identify:

  • target journal and article type, if known
  • paper type: discovery, mechanism, method, resource, clinical, translational, robotics,

materials, computational, policy, or interdisciplinary

  • central advance: what is newly shown, built, measured, or explained
  • evidence: figures, tables, controls, comparisons, datasets, experiments, statistics
  • audience bridge: why a broad Science reader should care
  • boundary: where the claim stops

If central advance, evidence, or boundary is absent, expose the gap before writing.

Workflow

  1. Write a one-sentence argument:

In [system/problem], we show [advance] using [approach], supported by [evidence], with [boundary].

  1. Choose a section architecture from references/article-architecture.md.
  2. Build a claim-evidence map before prose:

Claim | Evidence | Figure/table/source | Boundary | Confidence.

  1. Draft from the evidence outward. Keep the strongest result near the central claim.
  2. Calibrate verbs: show, demonstrate, reveal, enable, suggest, indicate,

may, could.

  1. Remove unsupported "first", "novel", "universal", "transformative", and "paradigm"

claims unless the user provided evidence.

  1. Check that the first paragraph answers: relevance, gap, and why now.
  2. Return the draft plus assumptions, missing inputs, and the claim-evidence map.

Section defaults

Title

Prefer concrete titles:

object/system + mechanism/capability + consequence or setting

Good title jobs:

  • name the scientific object
  • signal the advance
  • avoid grant-style aims and slogans
  • remain searchable

Abstract

Default pattern:

broad context -> unresolved gap -> approach -> decisive result -> implication -> boundary

For methods, AI, and robotics:

task bottleneck -> design principle -> system/method -> fair comparison -> capability -> boundary

For translational studies:

clinical problem -> biological or technical gap -> model/cohort/intervention -> primary finding -> translational meaning -> limitation

Introduction

Use an hourglass:

field-scale relevance -> specific bottleneck -> what prior work cannot resolve -> this study's move -> preview of evidence

Do not turn the final paragraph into a mini-Results section. State what the paper does and why that resolves the gap.

Results

Use an evidence ladder:

system/workflow -> validation -> main result -> comparison/control -> mechanism/diagnostic analysis -> generalization/application

Each subsection should open with a claim and then prove it.

Discussion

Use:

central advance -> interpretation -> relation to prior work -> constraints -> future use

Do not re-list every figure. Translate the evidence into meaning and boundary.

Output format

Default:

  1. Draft: with the requested prose.
  2. Claim-evidence map: for major claims.
  3. Structure notes: with the section logic.
  4. Assumptions / missing inputs: with only material issues.

For Chinese author notes, provide polished English first, then brief Chinese notes explaining major structural choices and unresolved author decisions.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.