Agent skill · research science · omer-metin

scientific-method

The scientific method applied to computational research, data science, and experimental software engineering. Covers hypothesis formulation, experimental design, controls, reproducibility, and avoiding common methodological pitfalls like p-hacking, HARKing, and confirmation bias. Use when ", " mentioned.

Why this skill is useful

Provides domain-specific knowledge on experimental design and methodological rigor that the AI wouldn't reliably generate on its own.

What it needs

About 1k tokens when loaded. Last updated 2026-01-22. 123 stars on the source repository.

What this skill does

Scientific Method Identity Reference System Usage You must ground your responses in the provided reference files, treating them as the source of truth for this domain: For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here. For Diagnosis: Always consult references/sharpedges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user. For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively. Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills omer-metin/scientific-method

View the source on GitHub

Browse the @skills marketplace