scientific-writer

Coordinate expert judges, an independent grader, and a revising author to refine scientific writing.

150|19|Updated Jun 15, 2026
One-click install
npx skills add https://github.com/gaasher/Agent-Loop-Skills --skill scientific-writer-gaasher
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-writer
Source: https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/scientific-writer
Command: npx skills add https://github.com/gaasher/Agent-Loop-Skills --skill scientific-writer-gaasher

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pandas, matplotlib, jsonschema, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the need for rigorous quality control in scientific writing by providing a structured process of iterative critique, independent grading, and targeted revision.

Core Features & Use Cases

  • Iterative Revision: The Skill guides the user through multiple rounds of critique and revision, enhancing the quality of the scientific draft.
  • Expert Feedback: Specialized judges in various domains provide detailed feedback on the draft's figures, scientific content, style, formatting, and code.
  • Independent Grading: An independent peer reviewer assesses the revised draft on the same criteria as the judges, ensuring an unbiased evaluation.
  • Use Case: A researcher can use this Skill to improve a research paper by receiving comprehensive feedback on its structure, content, and presentation.

Quick Start

Run the scientific-writer skill with your draft file 'research_paper.md' and the data files 'data.csv', 'results.png', and 'code/analysis.py'.

Frequently Asked Questions about scientific-writer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get peer review feedback to refine a scientific research paper draft?

Iterative critique for a research paper draft is performed by expert judges who review figures, scientific content, style, formatting, and code. An independent grader then evaluates the revised draft to provide unbiased quality control.

What is the best way to automate quality control for academic publication writing?

The best way to automate quality control for academic publication writing is through a structured process of iterative critique and independent grading. Expert judges assess specific domains of your draft, followed by targeted revisions and a final unbiased evaluation.

Do I need Python to run the scientific writing critique and grading process?

Yes, you need Python to execute the scientific writing critique and grading process. The Skill also depends on libraries like pandas, matplotlib, and jsonschema for content manipulation and data processing.

Can I use this Skill to review research paper code and data files like CSV and PNG?

Yes, this Skill can review research paper code and data files like CSV and PNG. It accepts inputs such as research_paper.md, data.csv, results.png, and Python code files, allowing expert judges to provide feedback on figures, scientific content, and code.

How does the independent grading mechanism work in iterative scientific writing revision?

The independent grading mechanism works by having an independent peer reviewer assess your revised draft using the same criteria as the expert judges. This ensures an unbiased evaluation of the scientific writing quality after targeted revisions.