hypothesis-extraction

Convert unstructured pilot ideas into a formal hypothesis registry with traceability and success criteria.

1|Updated Jan 20, 2026
One-click install
npx skills add https://github.com/profmikegreene/gotei --skill hypothesis-extraction
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hypothesis-extraction
Source: https://github.com/profmikegreene/gotei/tree/main/Gotei_Skills/hypothesis-extraction
Command: npx skills add https://github.com/profmikegreene/gotei --skill hypothesis-extraction

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify and catalog testable hypotheses from pilot signals and strategic inputs to enable disciplined experimentation and faster learning.

Core Features & Use Cases

  • Convert unstructured ideas and pilot objectives into a formal hypothesis registry.
  • Link hypotheses to input signals and strategic context for traceability.
  • Use cases include product experiments, research pilots, and learning agendas.

Quick Start

Transform your pilot signals into a formal hypothesis registry ready for experimental planning.

Frequently Asked Questions about hypothesis-extraction

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert unstructured ideas into testable hypotheses for experiment design?

A formal hypothesis registry catalogs testable hypotheses from pilot signals with traceability, versioning, and clear success criteria. It links each entry to strategic context to support reproducible experiments and disciplined research validation.

What is the best way to structure a hypothesis registry for research validation?

A formal hypothesis registry catalogs testable hypotheses from pilot signals with traceability, versioning, and clear success criteria. It links each entry to strategic context to support reproducible experiments and disciplined research validation.

How do I link pilot signals to strategic context for product experiments?

You link pilot signals to strategic context by cataloging testable hypotheses into a formal registry. This process maps unstructured idea lists and pilot objectives directly to traceable inputs, ensuring clear success criteria for experimental planning.

Does this approach support versioning for reproducible experiment design?

Yes, the hypothesis registry enforces versioning and traceability to support reproducible experiments. By formalizing pilot signals and strategic inputs into testable hypotheses with clear success criteria, it maintains disciplined experimental planning throughout the research validation lifecycle.

When do I need a formal hypothesis registry instead of a simple idea list?

You need a formal hypothesis registry when moving from unstructured idea lists to reproducible experiment design. If your product experiments or research pilots require traceability, versioning, and clear success criteria to validate learning agendas, this structured approach is necessary.