Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.
<! ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档,收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/K Dense AI/claude scientific skills 项目名称: claude scientific skills 开源协议: MIT License 收录日期: 2026 04 02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权,请联系删除。 Scientific Hypothesis Generation Overview Hypothesis generation is a systematic process for…
Full body not shown for this license – view the source on GitHub →Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/hypothesis-generation · pinned to the source commit
git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git
cd Auto-Empirical-Research-Skills
git checkout 692e9fa3fea40bbdf614584d461851f8fb968ac2
mkdir -p ".claude/skills/hypothesis-generation"
cp -r "skills/03-K-Dense-AI-claude-scientific-skills/hypothesis-generation" ".claude/skills/hypothesis-generation"Review the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
Scanner static-checks@0.1.0 · commit 692e9fa3fea4. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
No static rules matched. This is not a safety guarantee.