lyndonkl avatar

Scientific Manuscript Review

Takes your research manuscript through eight systematic passes, from extracting the core message to checking journal formatting compliance. Built around the IMRaD structure with specific templates for each section: the Introduction funnel (broad to gap to hypothesis), Results paragraphs (question, approach, finding, interpretation), and Discussion flow (findings to context to limitations). Catches common manuscript problems like buried gap statements, data dumps without interpretation, and overclaiming in discussions. Includes hedging language guidelines and a clarity checklist that verifies claims match evidence strength. Honestly, the structured approach is what makes this work. It stops you from doing vague holistic feedback and forces specific evaluation of whether each section does its job.

skills.sh installs
484
GitHub stars
193
last updated
Aug 21, 2026

Install

$ npx -y skills add lyndonkl/claude --skill scientific-manuscript-review --agent claude-code

Installs into .claude/skills of the current project.

Files

Scientific Manuscript Review

Table of Contents

Related skills: Grant proposals → grant-proposal-assistant | Recommendation letters → academic-letter-architect | Emails → scientific-email-polishing

Core Principles

Seven foundational beliefs guiding manuscript review:

  1. Clarity over cleverness: Scientific clarity is more important than stylistic elegance
  2. Narrative shapes comprehension: Structure and story arc determine reader understanding
  3. Audience dictates tone: Expert vs. general audience requires different depth and framing
  4. Format signals credibility: Professional formatting reflects scientific rigor
  5. Claims require evidence: Strong assertions need strong data and appropriate hedging
  6. Each section has a job: Introduction sells the problem, Results show the data, Discussion interprets
  7. Constraints shape structure: Word limits and journal guidelines determine emphasis

Workflow

Sponsors

Details

Repository
github.com/lyndonkl/claude
Categories
Git & Pull Requests, Documentation, Code Review & Quality, Data Science & ML
First seen
Jun 3, 2026

More from lyndonkl/claude

All 9
1webmaxru avatargithub-agentic-workflowswebmaxru/enonic-agent-skillsAuthors, reviews, installs, and debugs GitHub Agentic Workflows in repositories, including workflow markdown, frontmatter, gh aw compile and run flows, safe out478skills.sh installs
2aj-geddes avatarapi-changelog-versioningaj-geddes/useful-ai-promptsDocument API changes, breaking changes, migration guides, and version history for APIs. Use when documenting API versioning, breaking changes, or creating API m477skills.sh installs
3agno-agi avatarcode-reviewagno-agi/agnoCode review assistance with linting, style checking, and best practices475skills.sh installs
4davila7 avatarsecurity-reviewdavila7/claude-code-templatesUse this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provid471skills.sh installs
5dauquangthanh avatarfrontend-design-reviewdauquangthanh/hanoi-rainbowConducts comprehensive frontend design reviews covering UI/UX design quality, design system validation, accessibility compliance, responsive design patterns, co463skills.sh installs
6sickn33 avatarreceiving-code-reviewsickn33/antigravity-awesome-skillsreceiving code review458skills.sh installs