Ai4s Skills

Seven agent skills for AI-for-Science research — turn a research direction into literature surveys, runnable experiments, publication-grade papers, and integrity audits, with every citation, number, and figure traceable to its source.

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Contents

• 🧩 The skills
• 🔗 How they connect
• ✅ Authenticity
• 🔬 Example
• 📦 Install
• 🚀 Usage
• 🗂️ Repository layout
• 🛠️ Included tools
• 🤝 Contributing
• ⚖️ License
• 🙏 Acknowledgments

The skills

Skill	Role	Primary output
ai4s-agent	Runs the four skills below in order	the full package
research-explorer	Explore topics from a broad direction	research_exploration.md, topic_matrix.md, literature_pre_survey.md
literature-survey	Write a literature survey	6–20 pp PDF, 60+ real citations, LaTeX source, topic-specific figures
experiment-suite	Build an experiment package	design doc, runnable code, results.json with provenance, figures, report
paper-writer	Write a research paper	8–14 pp PDF, 200+ citations, 4–8 figures, tables
mindmap-render	Render a mindmap	image from a topic_matrix.md (Python script)
integrity-auditor	Audit a paper's integrity	image / numerical / logical findings, 4-level evidence grading, audit_report.md

Each skill is a folder with a SKILL.md plus its own references, templates, and tools. MIT-licensed; works with Claude Code, Cursor, Codex, and Aider.

How they connect

direction
   │
   ▼
[1] research-explorer ──▶ pick one $TOPIC
   │
   ├──▶ [2] literature-survey   → survey PDF + bibliography.bib
   ├──▶ [3] experiment-suite    → results.json + figures/
   └──▶ [4] paper-writer        → paper PDF  (reuses [2] and [3])

integrity-auditor ──▶ audits any paper: external PDF / DOI / arXiv, or [4]'s output

ai4s-agent runs steps 1–4 in order. Skills pass work to each other through a shared slug and the path output/<skill>/<slug>/latest/.

Authenticity

The focus of the project. Every skill enforces: