method-transfer-engine

What problem does it solve?

This Skill provides a formal six-phase protocol for adapting statistical methods across different research domains. It enables researchers to extract core methodology from a source, map it to a target problem, adapt the structure, design the transferred method, and verify its properties in the new setting.

Core Features & Use Cases

• Structured transfer workflow: Extract, abstract, map, adapt, validate, and document transferred methods.
• Cross-domain applicability: Suitable for statistics, causal inference, econometrics, machine learning, and general research-methodology work.
• Use Case: A researcher wants to adapt a source estimation technique from one domain to a new domain, then validate its properties and document the adaptation.

Quick Start

Outline a six-phase plan for transferring a chosen source method to a target problem; present a concrete example: source method "Instruments variable-based estimation" to "causal effect estimation with mediation". Then describe how you would extract, abstract, map, structure, design, validate, and document.