AI Scientist
Build AI agents that automate scientific research using [AIScientistv2](https://github.com/SakanaAI/AIScientistv2) — an agentic tree search framework for hypothesis generation, experiment design, data analysis, and paper writing.
Overview
The AI Scientist skill, available through the TerminalSkills/skills repository, enables developers to build agents capable of automating the end-to-end scientific research process. It leverages the AIScientistv2 framework, which utilizes an agentic tree search approach to systematically handle complex tasks. These tasks include generating novel hypotheses, designing rigorous experiments, performing data analysis, and drafting full scientific papers. By integrating this skill, compatible agents like Claude, Gemini, and Cursor can navigate the research lifecycle autonomously. The implementation focuses on structured reasoning and iterative refinement, providing a programmatic way to scale scientific discovery. This resource is part of a collection of modular skills hosted on GitHub, where the parent repository currently maintains a popularity of 71 stars.
Use Cases
Install Notes
# Review source first
open https://github.com/TerminalSkills/skills/blob/main/skills/ai-scientist/SKILL.mdCopy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.
Security Notes
Users should review the AIScientistv2 framework's execution environment requirements, as automated experiment design and data analysis may involve running code or accessing external APIs. Ensure that the agent's permissions are restricted to necessary directories and that any generated scripts are audited before execution in sensitive environments.
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