mad-writer

Automatically write, improve, and check paper.md content in iterative loops.

43|2|Updated Apr 5, 2026

Search Tags:#content generation #academic writing #iterative improvement #paper writing #content checking

Ready to run

npx skills add https://github.com/PKU-ASAL/CoPaper-OpenCode --skill mad-writer-pku-asal

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mad-writer
Source: https://github.com/PKU-ASAL/CoPaper-OpenCode/tree/main/.agents/skills/mad-writer
Command: npx skills add https://github.com/PKU-ASAL/CoPaper-OpenCode --skill mad-writer-pku-asal

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires relatedwork-finder, bogus-data-helper, problem-checker, novelty-checker, technical-depth-checker, logic-checker, clarity-checker, evaluation-protocol-checker, data-checker, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users automatically write and improve their paper.md content by running a write-check-fix loop, enhancing content quality and efficiency.

Core Features & Use Cases

Automatic Writing: Automatically writes and improves content using iterative loops.
Related Work Integration: Finds related work using relatedwork-finder.
Placeholder Data Generation: Generates placeholder data for experimental sections using bogus-data-helper.
Checker Integration: Runs all checkers to ensure content quality.
Use Case: Ideal for users looking to quickly generate and refine paper.md content, ensuring it is well-structured and meets academic standards.

Quick Start

Use the mad-writer skill to automatically generate content for your paper.md and improve it iteratively.

Frequently Asked Questions about mad-writer

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

FAQPage Schema

How do I automatically write and improve my paper.md content?▼

To automatically write and improve paper.md content, you can use an iterative write-check-fix loop that integrates related work and placeholder data generation while running comprehensive content quality checks.

What is the iterative write-check-fix loop for academic writing?▼

The iterative write-check-fix loop for academic writing is an automated process that generates content for paper.md, evaluates it against multiple checkers, and applies fixes to enhance structure and meet academic standards.

How do I generate placeholder data for experimental sections in academic papers?▼

You can generate placeholder data for experimental sections in academic papers by integrating a bogus-data-helper, which seamlessly inserts fabricated datasets into the paper.md content during the writing loop.

Do I need specific checkers to ensure academic writing quality?▼

Yes, ensuring academic writing quality requires running multiple checkers, including logic, novelty, technical depth, and clarity checkers, to comprehensively evaluate and refine the paper.md content.

Can I automatically integrate related work into paper writing?▼

Yes, you can automatically integrate related work into paper writing by utilizing a relatedwork-finder component within the automated writing loop to discover and incorporate relevant literature into paper.md.

What's the best way to structure paper.md for automated content generation?▼

The best way to structure paper.md for automated content generation is to format it as a markdown document, allowing the iterative write-check-fix loop to systematically write, evaluate, and refine each section.