Claude Scientific Guide

A comprehensive skill that provides ready-to-use agent instructions for conducting scientific research, designing experiments, and solving engineering problems. Based on the claude-scientific-skills repository (14K stars), this skill distills best practices for leveraging Claude as a research methodology assistant across disciplines.

Overview

Scientific research demands rigorous methodology: forming hypotheses, designing experiments, analyzing results, and iterating on findings. This skill equips the agent with structured approaches to each phase of the scientific process, drawing from proven prompt patterns that have been validated across thousands of research workflows.

The skill covers three primary domains: fundamental research methodology, applied science workflows, and engineering problem-solving. Each domain includes step-by-step procedures, quality checkpoints, and common pitfalls to avoid.

Research Methodology Workflows

When assisting with research methodology, follow these structured approaches:

Hypothesis Formation

• Gather existing literature context before proposing hypotheses
• Ensure hypotheses are falsifiable and specific
• Identify independent, dependent, and control variables
• State null and alternative hypotheses explicitly
• Consider confounding variables and propose mitigation strategies

Experiment Design

• Select appropriate experimental design (RCT, quasi-experimental, observational)
• Calculate required sample sizes using power analysis principles
• Define primary and secondary endpoints before data collection
• Establish blinding protocols where applicable
• Create pre-registration documents outlining analysis plans

Data Collection Planning

• Specify measurement instruments and their validity evidence
• Design data collection forms that minimize entry errors
• Plan for missing data handling before collection begins