Life-Science-Evidence-Review

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Life-Science-Evidence-Review

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An evidence-first AI Skill for generating publication-quality literature reviews in life sciences

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# 🧬 Life-Science-Evidence-Review

### Evidence-first AI Skill for Publication-Quality Literature Reviews

Generate **evidence-based**, **publication-quality** literature reviews through **systematic evidence synthesis**, rather than simple paper summarization.

---

![License](https://img.shields.io/badge/License-MIT-green)
![Life Science](https://img.shields.io/badge/Domain-Life%20Science-blue)
![OpenAI Skill](https://img.shields.io/badge/OpenAI-Skill-black)
![Evidence First](https://img.shields.io/badge/Evidence-First-success)
![Markdown](https://img.shields.io/badge/Markdown-5-blue)

</div>

---

# ✨ Overview

**Life-Science-Evidence-Review** is an evidence-first AI Skill designed for biological literature review.

Instead of simply summarizing papers, this Skill performs a complete scientific workflow including:

- Systematic literature search
- Biological context expansion
- Critical evidence appraisal
- Structured evidence extraction
- Cross-study evidence synthesis
- Knowledge gap identification
- Future research design

Every major conclusion is traceable to one or more primary publications.

---

# 🚀 Workflow

```mermaid
flowchart TD

A[User Input]

A --> B[Topic Understanding]

B --> C[Biological Context Expansion]

C --> D[Systematic Literature Search]

D --> E[Critical Evidence Appraisal]

E --> F[Evidence Database]

F --> G[Evidence Synthesis]

G --> H[Critical Literature Review]

H --> I[Knowledge Gap Analysis]

I --> J[Future Research Design]

J --> K[Quality Control]
```

---

# 📦 Deliverables

The Skill automatically generates:

| Deliverable | Description |
|--------------|-------------|
| 📋 Project Summary | Define the research scope |
| 📚 Core Literature Library | Representative literature collection |
| 📊 Evidence Database | Structured evidence table (.xlsx) |
| 📖 Critical Literature Review | Publication-quality review |
| 🔬 Knowledge Gap Matrix | Evidence-supported research gaps |
| 🚀 Future Research Opportunities | Research hypotheses and project ideas |
| 📈 Evidence Assessment | Confidence evaluation |
| 🌍 Citation Landscape | Research evolution |
| 🗺 Research Roadmap | Future development roadmap |
| ✅ Quality Control Report | Scientific verification |

---

# ⭐ Key Features

✅ Evidence-first reasoning

✅ Primary literature prioritized

✅ Structured Evidence Database

✅ Cross-study synthesis

✅ Knowledge Gap Identification

✅ Future Research Planning

✅ Publication-quality academic writing

✅ Hallucination prevention

---

# 🔬 Scientific Principles

This Skill follows six core principles:

- Evidence before writing
- Primary literature first
- Traceable conclusions
- Cross-study synthesis
- Critical evaluation
- Reproducible reasoning

---

# 📂 Repository Structure

```text
Life-Science-Evidence-Review

├── README.md
├── SKILL.md
├── prompt.md
├── workflow.md
├── output.md
└── examples
```

---

# ⚙️ Installation

Clone this repository.

```bash
git clone https://github.com/ZZL-Zoro/Life-Science-Evidence-Review.git
```

Copy the Skill into your local Skills directory.

```bash
~/.codex/skills/
```

Restart ChatGPT / Codex.

The Skill will be automatically detected.

Or

You can directly use:

1. Windows/Powershell Users :

git clone https://github.com/ZZL-Zoro/Life-Science-Evidence-Review.git "$env:USERPROFILE\.codex\skills\life-science-evidence-review"

2. macOS / Linux Users :

git clone https://github.com/ZZL-Zoro/Life-Science-Evidence-Review.git ~/.codex/skills/life-science-evidence-review

Then Restart ChatGPT / Codex

---

# 💻 Example

Input

```text
Species: 
Rice

Trait:
Grain quality

Representative Gene:
Wx
```

The Skill will generate:

- Core Literature Library
- Evidence Database
- Critical Literature Review
- Knowledge Gap Matrix
- Future Research Opportunities
- Research Roadmap

Examples are below(In the first picture, the files were generated and highlighted in Blue, so it compiled 10 files that you can read):
<img width="1718" height="840" alt="image" src="https://github.com/user-attachments/assets/f26adfd0-9908-409a-b0cf-eedb72e22a83" />

---

# 🎯 Example Applications

- Human Height Genetics
- Rice Grain Quality
- Arabidopsis Flowering Time
- CRISPR in Crop Breeding
- Plant Lipid Metabolism
- Cancer Genomics
- Microbial Evolution

---

# 📊 Comparison

| Traditional AI | Life-Science-Evidence-Review |
|----------------|------------------------------|
| Summarizes papers | ✅ Evidence synthesis |
| Independent paper summaries | ✅ Cross-study comparison |
| Limited evidence evaluation | ✅ Critical appraisal |
| Weak traceability | ✅ Traceable conclusions |
| Generic future work | ✅ Evidence-supported research design |
| High hallucination risk | ✅ Evidence validation workflow |

---

# 📖 Citation

If this Skill contributes to your research, please cite:

```bibtex
@software{LifeScienceEvidenceReview,
  title={Life-Science-Evidence-Review},
  author={ZZL-Zoro},
  year={2026},
  version={1.0},
  url={https://github.com/ZZL-Zoro/Life-Science-Evidence-Review}
}
```

---

# 📄 License

Released under the **MIT License**.

---

### ⭐ If this project helps your research, consider giving it a Star!

</div>

Life-Science-Evidence-Review

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