<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This project provides an engineered, collaborative workflow for research writing, transforming it from a one-off chat into a traceable, recoverable, and reusable process. Aimed at undergraduate and graduate students, and early-career researchers, it helps minimize detours and rework, allowing users to focus on core research content.

How It Works

The system functions as a comprehensive research writing collaboration platform, not merely a prompt collection. It initiates by aligning objectives and constraints through a 7-round brainstorming Q&A to confirm paper type, research background, methodology, and chapter structure. Subsequently, it routes tasks to discipline-specific modules (e.g., Engineering, Social Sciences, Medicine, Law) for phased execution, ensuring stability through process, recording, and back-writing rather than relying on single-turn memory.

Quick Start & Requirements

Installation involves direct download and copying the repository into a project directory or using git clone. The skill is adapted for platforms including Claude Code, Cursor, Codex, OpenCode, and Gemini CLI. Primary output is project files (Markdown, .tex, Python scripts), not final Word documents, requiring manual transfer and formatting in Word/LaTeX.

Highlighted Details

• Structured Brainstorming: Guides users through defining paper type, subject, topic, background, methods, and chapter structure.
• Phased AI-Assisted Writing: Supports stages from topic advancement and chapter writing to figure generation and pre-submission self-review.
• "De-AI-ification" Module: Constrains common AI writing artifacts like mechanical transitions, hollow emphasis, and subjective phrasing.
• Discipline-Specific Support: Tailored modules for Engineering, Social Sciences, Medicine, and Law.
• LaTeX Template Integration: Automatically parses and generates .tex files based on user-provided school or journal templates.
• Environment Automation: Assists with Miniconda installation, virtual environment setup, and dependency troubleshooting.

Maintenance & Community

No specific details on maintainers, community channels (like Discord/Slack), or roadmap were found in the provided text.

Licensing & Compatibility

The provided README content does not explicitly state the project's license or offer compatibility notes for commercial use or closed-source linking.

Limitations & Caveats

The skill does not directly generate or write .docx files; users must manually copy content and apply final formatting in Word or LaTeX. It does not fabricate literature or data, requiring citations to be traceable and high-risk conclusions to be independently verified.