Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
This collection provides a framework for implementing rigorous scientific workflows within AI agents. It prioritizes pre-registration and reproducible research pipelines over traditional development cycles, ensuring that agent-led investigations follow a structured scientific method.
The skills guide agents through the critical phases of research, from framing questions and designing analysis plans before data interaction to managing parallel investigations across independent datasets.
WHO IT'S FOR
AI agent / automation builders
implementing rigorous scientific workflows for agents
Computational scientists
standardizing reproducible research pipelines with AI
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.