Mastering Academic Workflows: Nature-Style Writing and Research Automation
Streamline your research workflow with nature-skills, a collection of AI-driven prompts and tools designed for high-impact academic writing, plotting, and analysis.
In the fast-paced world of academic research, the gap between conducting high-quality experiments and communicating them effectively in top-tier journals is often a bottleneck. Whether it is the rigorous prose required by Nature or the complex task of generating publication-ready figures, researchers often spend more time formatting than innovating.
nature-skills is an open-source project created by Yuan Yizhe, a PhD researcher at Shanghai Jiao Tong University, specifically designed to bridge this gap. It provides a suite of reusable, modular instruction bundles that turn AI agents—specifically those running on Claude Code or similar frameworks—into specialized research assistants.
Why nature-skills Matters
Most LLM prompts for research are generic. nature-skills differentiates itself by being context-aware and modular. Instead of a single "do everything" prompt, it provides specific "skills" that handle distinct parts of the research lifecycle:
- Writing & Polishing: Ensuring your prose meets the high-impact standards of CNS (Cell, Nature, Science) journals.
- Visualization: Automating the creation of publication-quality plots using Python or R.
- Reviewer Management: Systematically addressing reviewer comments with risk assessment and action mapping.
- Literature Synthesis: Converting dense PDFs into structured, bilingual Markdown readers with figure grounding.
Getting Started with Claude Code
The project is built to integrate seamlessly with modern AI development tools. If you are using Claude Code, you can install the entire suite via the plugin marketplace, which is the most efficient way to get started.
Installation via Marketplace
Run these commands in your terminal to integrate the skills directly into your Claude Code environment:
# Add the marketplace repository
/plugin marketplace add https://github.com/Yuan1z0825/nature-skills
# Install the plugin
/plugin install nature-skills
# Reload to apply changes
/reload-plugins
Once installed, you can trigger specific skills using natural language. For example, you can ask, "Use the nature-reader to turn this PDF into a full markdown reader," or "Polish this paragraph to match Nature-style academic prose."
Core Skills Overview
The repository currently hosts nine distinct skills, each with a specific "trigger" keyword:
| Skill | Purpose | Trigger Keywords |
|---|---|---|
nature-figure |
Python/R figure workflow | "Nature figure", "publication plot" |
nature-polishing |
Academic prose refinement | "Nature style", "polish" |
nature-reader |
Bilingual Markdown reader | "nature reader", "全文翻译" |
nature-response |
Reviewer rebuttal letters | "response to reviewers", "rebuttal" |
nature-paper2ppt |
Scientific paper to PPTX | "paper PPT", "journal club" |
Advanced Usage: Subagents
If you prefer granular control, you can deploy individual skills as subagents. By copying a SKILL.md file into your ~/.claude/agents/ directory, you create a dedicated tool that only activates when needed. This is particularly useful for complex tasks like nature-response, where you might want to keep your reviewer comments and your draft response in a separate, isolated context.
Contributing to the Ecosystem
As an open-source project, nature-skills relies on community contributions. If you have developed a workflow that helps you manage your research more effectively, you can contribute by creating a new folder in the skills/ directory. Ensure you include a SKILL.md file and any necessary references or assets.
By standardizing these workflows, the project not only saves time but also enforces a level of rigor in academic output that is often difficult to maintain manually. Whether you are a PhD student or a seasoned PI, integrating these tools into your daily workflow can significantly reduce the "administrative" burden of high-impact research.