From omer-metin-skills-for-antigravity-2
Applies the scientific method to computational research and data science: hypothesis formulation, experimental design, controls, reproducibility, and avoiding p-hacking, HARKing, and confirmation bias.
How this skill is triggered — by the user, by Claude, or both
Slash command
/omer-metin-skills-for-antigravity-2:scientific-methodThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.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.
npx claudepluginhub joshuarweaver/cascade-code-general-misc-2 --plugin omer-metin-skills-for-antigravity-2Guides reproducible computational research with environment management, data versioning, code documentation, and sharing protocols.
Evaluates research rigor, methodology, experimental design, statistical validity, biases, and evidence quality using GRADE and Cochrane ROB frameworks. Use for critical analysis of papers, preprints, or scientific claims.
Evaluates scientific claims and evidence quality using GRADE and Cochrane frameworks. Useful for assessing experimental design, identifying biases, and teaching critical analysis.