SRN

Turn development ideas into clear designs through guided discussion. The skill clarifies goals, requirements, and constraints, then adapts the process to a feasibility investigation, a small existing-code change, or a larger architectural design.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Clarifying requirements before adding a feature
• Exploring whether an idea is feasible
• Comparing designs for a new project

Analyze research data with guidance on choosing statistical tests, checking their assumptions, and measuring effect sizes, meaning the magnitude of differences or relationships. It also supports sample size planning, Bayesian analysis, and APA-style reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing groups in experimental or survey data
• Choosing tests and checking their assumptions
• Planning the required study sample size

Assess how well scientific evidence supports a claim. Examine study design, statistical methods, bias, and alternative explanations, then explain supported conclusions, uncertainties, and improvements using established frameworks for judging evidence quality.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether a paper's conclusions follow from its data
• Comparing evidence behind conflicting research findings
• Identifying bias and alternative explanations

Build features and fix bugs through test-driven development: write a test for the desired behavior, confirm it fails for the expected reason, then add minimal code and clean it up while keeping all tests passing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a new feature from its expected behavior
• Reproducing a bug with a failing test
• Refactoring while keeping tests passing