Claude Skill

labarba/sciwrite

SciWrite is a Claude Skill for AI-assisted manuscript writing and review, based on Dr. Kristin Sainani's 'Writing in the Sciences' methodology. Improve clarity and structure in scientific writing.

Overview

Stars748
Forks100
LanguageUnknown
Last pushed2026-04-05
Last synced2026-07-03
View on GitHub

Repository

Ownerlabarba
Repositorysciwrite
Full namelabarba/sciwrite
Repo ID1,201,635,106

Install this Skill

git clone https://github.com/labarba/sciwrite.git

Registry

Typeopenclaw_skill
Quality score75/100
Verificationreadme_parsed
Last verified2026-06-07
Platforms
ClaudeCursor
Capabilities
browsercode-reviewpdfmemorysearchimagevideoterminalworkflow
Detected files
README.mdSKILL.md
Config keys
URL

Summary

SciWrite is a Claude Skill designed to assist with manuscript writing and review, based on Dr. Kristin Sainani's 'Writing in the Sciences' methodology. It helps researchers improve clarity, conciseness, and structure in scientific writing.

Chinese description

基于Kristin Sainani博士的《科学写作》方法论,用于AI辅助手稿写作审阅的Agent Skill(Claude Skill)。

Key features

  • Based on Dr. Kristin Sainani's 'Writing in the Sciences' methodology
  • AI-assisted manuscript writing and review
  • Focuses on clarity, conciseness, and structure
  • Designed for researchers and academics

Use cases

  • Improving clarity in scientific manuscripts
  • Reviewing and editing academic papers
  • Learning effective scientific writing techniques

README excerpt

# SciWrite — Manuscript Writing Review An [Agent Skill](https://agentskills.io) that reviews scientific and engineering manuscripts for writing quality, applying the methodology from Dr. Kristin Sainani's [*Writing in the Sciences*](https://www.coursera.org/learn/sciwrite) course at Stanford (2012). ## What This Skill Does Clear writing is not a cosmetic concern in science; it determines whether reviewers and readers can follow your argument. Yet most graduate students receive little formal training in scientific writing, and self-editing for clarity is difficult because you already know what you meant to say. This skill encodes a systematic editorial review process distilled from 30 video lectures on scientific writing. When loaded into an AI tool, it performs five sequential audit passes on your manuscript text: 1. **Clutter extraction.** Flags dead-weight phrases, unnecessary jargon, and filler language, and provides concise replacements. 2. **Voice and verb vitality.** Identifies passive constructions, smothered verbs (nominalizations), and weak verb choices, and suggests active alternatives. 3. **Sentence architecture.** Evaluates sentence length, structure, and flow—flagging run-on sentences, misplaced modifiers, and paragraphs that lack a clear logical progression. 4. **Keyword consistency.** Checks that key technical terms are used consistently throughout the manuscript, catching cases where synonyms introduce ambiguity. 5. **Numerical and citation integrity.** Audits numerical values, units, and in-text citations for internal consistency (e.g., a value reported as 3.2 in the text but 3.4 in a table). The skill supports four review modes: a full-manuscript review that runs all five passes, a single-section review, a targeted review that runs only the pass

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Data from GitHub. Synced on 2026-07-03