Agent skill

method-transfer-engine

Six-phase protocol for adapting methods across research domains

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill method-transfer-engine --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 19 KB
Bundled scripts: none
Path: skills/26-Data-Wise-scholar/skills/research/method-transfer-engine/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

Review
written from the skill's own SKILL.md · Aug 5, 2026

What it does

Rigorous framework for adapting statistical methods across domains and settings

How it works

  • Provides a six-phase protocol to transfer a method from a source setting to a target setting.
  • Phase 1 analyzes the source method, including its estimand, estimator, assumptions, and properties.
  • Phase 2 analyzes the target problem, including data, estimand, challenges, and current approaches.
  • Phase 3 maps source concepts to the target domain and identifies what transfers, what needs modification, and what does not transfer.
  • Phase 4 designs the adapted method with an overview, formal definitions of estimand and estimator, a step-by-step algorithm, and modified assumptions.
  • Phase 5 provides a validation framework with bias, coverage, efficiency, robustness, and edge-case tests.
  • Phase 6 documents the transfer, including contribution statements, theoretical and methodological contributions, and practical guidance.

When to use it

Use when adapting a method from one field to another, extending a method to a new setting, formalizing an intuitive connection between methods, or verifying that a transferred method retains its properties.

What it can touch

  • Tools mentioned: "claude-code" (declared tools).
  • It touches computational aspects, simulations, and documentation workflows as part of the adaptation process.

Caveats

  • License: NOASSERTION
  • The framework relies on explicit mappings and phase-driven analysis; it does not guarantee success, only structures for evaluation and verification.
From the SKILL.md

# Method Transfer Engine **Rigorous framework for adapting statistical methods across domains and settings** Use this skill when: adapting a method from one field to another, extending a method to a new setting, formalizing an intuitive connection between methods, or verifying that a transferred method retains its properties. --- ## The Transfer Framework ### What is Method Transfer? Taking a tech

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About this skill
What does the method-transfer-engine skill do?

Six-phase protocol for adapting methods across research domains

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill method-transfer-engine --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going