Six-phase protocol for adapting methods across research domains

Custom licenceAuto-check passed

Install Method Transfer Engine

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill method-transfer-engine -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills method-transfer-engine --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/26-Data-Wise-scholar/skills/research/method-transfer-engine .claude/skills/method-transfer-engine && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
method-transfer-engine
GitHub stars
4.5k
Token cost
~4.9k tokens
SKILL.md length
942 words
Files
2
Skills in repo
369
Repo updated
First seen
Licence
Custom licence

At a glance

Six-phase protocol for adapting methods across research domains

  • Works in 6 steps: Source Method Analysis → Target Problem Analysis → Structure Mapping → …
  • SKILL.md covers The Transfer Framework, The 6-Phase Protocol, Common Transfer Patterns and Transfer Verification Checklist, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Method Transfer Engine is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Six-phase protocol for adapting methods across research domains

Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.backups/SKILL-2025-12-09T03-53-59-607Z.md`).

The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

Example prompts

  • “/method-transfer-engine”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Source Method Analysis
  2. Target Problem Analysis
  3. Structure Mapping
  4. Adaptation Design
  5. Verification
  6. Documentation

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and r).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Method Transfer Engine loads about 4.9k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 942 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~4.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 942 words (~4,912 tokens).

“Rigorous framework for adapting statistical methods across domains and settings”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
method-transfer-engine

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in skills/26-Data-Wise-scholar/skills/research/method-transfer-engine of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • .backups/SKILL-2025-12-09T03-53-59-607Z.md

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Method Transfer Engine next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Method Transfer Engine compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Method Transfer Engine this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~4.9kAutomated safety check: PassCustom licence
Agent Adaptive Coordinatorruvnet/ruflo74k2 repos~4kAutomated safety check: PassMIT
Intelligence Transferruvnet/ruflo74k—~877Automated safety check: NotesMIT
Sitemap Domainthedaviddias/Front-End-Checklist74k—~531Automated safety check: PassMIT
Domain Driven Designdavila7/claude-code-templates32k5 repos~623Automated safety check: PassMIT
Domain Modeling and Glossarywindmill-labs/windmill18k—~622Automated safety check: PassCustom licence

Similar skills

  • Agent skill for adaptive-coordinator - invoke with $agent-adaptive-coordinator

    74k GitHub starsUsed in 2 repos~4k tokens
    Data & AnalyticsAuto-check passed
  • Publish or fetch learned patterns across projects via IPFS (Pinata) -- the cross-project pattern transfer that hookstransfer enables

    74k GitHub stars~877 tokensUpdated today
    Auto-check: notes
  • Sitemap Domain

    thedaviddias/Front-End-Checklist

    A skill your agent uses when applies to sites that have recently migrated from HTTP to HTTPS, changed domain name, or have www/non-www redirect configurations.

    74k GitHub stars~531 tokensUpdated yesterday
    Marketing & SEOAuto-check passed
  • Domain Driven Design

    davila7/claude-code-templates

    Plan and route Domain-Driven Design work from strategic modeling to tactical implementation and evented architecture patterns.

    32k GitHub starsUsed in 5 repos~623 tokens
    DevelopmentAuto-check passed
  • Domain Modeling and Glossary

    windmill-labs/windmill

    Actively challenges vague or conflicting terminology as you design, and keeps a living domain glossary file up to date in real time.

    18k GitHub stars~622 tokensUpdated today
    DevelopmentAuto-check passed
  • Analytical Method Validation Planner

    K-Dense-AI/scientific-agent-skills

    Plans, runs, and documents analytical method validation, verification, or transfer studies under ICH Q2(R2)/Q14, USP, ICH M10, CLSI EP, or ISO/IEC 17025.

    48k GitHub starsUsed in 1 repo~4.9k tokens
    Research & ScienceAuto-check: notes

More from brycewang-stanford/Auto-Empirical-Research-Skills

All 369 skills in this repo
  • Latex Paper En

    brycewang-stanford/Auto-Empirical-Research-Skills

    English LaTeX academic paper assistant for existing .tex projects.

    4.5k GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed
  • Bayesian Workflow

    brycewang-stanford/Auto-Empirical-Research-Skills

    Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

    4.5k GitHub stars~3.5k tokensUpdated 2 days ago
    Auto-check passed
  • Five Questions

    brycewang-stanford/Auto-Empirical-Research-Skills

    Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.

    4.5k GitHub stars~1.7k tokensUpdated 2 days ago
    Auto-check: notes
  • Kaggle Research

    brycewang-stanford/Auto-Empirical-Research-Skills

    A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…

    4.5k GitHub stars~868 tokensUpdated 2 days ago
    Auto-check passed
  • Latex Thesis Zh

    brycewang-stanford/Auto-Empirical-Research-Skills

    Chinese LaTeX thesis assistant for existing .tex degree thesis projects (XeLaTeX/LuaLaTeX/latexmk).

    4.5k GitHub stars~1.5k tokensUpdated 2 days ago
    Auto-check passed
  • Obsidian Project Memory

    brycewang-stanford/Auto-Empirical-Research-Skills

    This skill should be used when the user asks to maintain an Obsidian knowledge base for a research project, import an existing research repository into Obsidian, keep project memory or daily notes…

    4.5k GitHub stars~2.4k tokensUpdated 2 days ago
    Auto-check passed

Questions about Method Transfer Engine

What does Method Transfer Engine do?

Six-phase protocol for adapting methods across research domains. Method Transfer Engine is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

How do I install Method Transfer Engine in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill method-transfer-engine -a claude-code`. Or copy the skill folder (skills/26-Data-Wise-scholar/skills/research/method-transfer-engine in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/method-transfer-engine in your project. Claude Code loads it when a task matches its description.

How do I install Method Transfer Engine in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill method-transfer-engine -a codex`. Or copy the skill folder (skills/26-Data-Wise-scholar/skills/research/method-transfer-engine in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/method-transfer-engine in your project. Codex loads it when a task matches its description.

Can I use Method Transfer Engine in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill method-transfer-engine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/method-transfer-engine, .gemini/skills/method-transfer-engine, .github/skills/method-transfer-engine and .opencode/skills/method-transfer-engine in your project.

What does Method Transfer Engine need to run?

SKILL.md names no scripts, command-line tools or credentials: Method Transfer Engine is instructions for the agent only.

Does Method Transfer Engine access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Method Transfer Engine safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Method Transfer Engine use?

Method Transfer Engine has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Method Transfer Engine use?

About 4.9k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Method Transfer Engine?

Skills that share tags, products or a category with Method Transfer Engine: Agent Adaptive Coordinator (ruvnet/ruflo, 74k stars), Intelligence Transfer (ruvnet/ruflo, 74k stars), Sitemap Domain (thedaviddias/Front-End-Checklist, 74k stars) and Domain Driven Design (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Method Transfer Engine?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,517 GitHub stars. The repository holds 369 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.