<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This project addresses academic research writing disparities by democratizing advanced prompt engineering and AI-assisted techniques. It offers a curated prompt library and integrates with AI coding assistants via configurable 'Agent Skills' for tasks like translation, polishing, figure generation, and AI text humanization, aiming to improve quality and save researchers time.

How It Works

The repository provides battle-tested prompts for academic writing tasks (e.g., translation, logic checking, AI flavor removal) and 'Agent Skills' for AI coding assistants like Cursor and Claude Code. Managed via OpenSkills, these skills automate complex workflows: generating papers from repositories, applying conference templates, creating figures/tables, and refining text for human-like quality. This approach leverages existing AI tools and democratizes advanced writing assistance with institution-vetted techniques.

Quick Start & Requirements

• Primary install / run command: Prompts can be directly copied into LLM interfaces. Agent Skills require Node.js (v20.6+) and Git. Install OpenSkills via npx openskills and specific skills (e.g., npx openskills install zechenzhangAGI/AI-research-SKILLs).
• Non-default prerequisites and dependencies: Node.js, npm, Git, and a compatible AI coding assistant (Cursor, Claude Code).
• Links: AI-research-SKILLs: https://github.com/zechenzhangAGI/AI-research-SKILLs.