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AI EngineeringStata

Auto-Empirical Research

by brycewang-stanford

Auto-Empirical Research is an AI Engineering skill for Claude Code, published by brycewang-stanford in Auto-Empirical-Research-Skills.

3.4K stars445 forkson brycewang-stanford/Auto-Empirical-Research-SkillsAdded 2026/08/16+1% in starsRepository updated 2026/08/10
academic-researchagent-skillsai-agentawesome-listcommunicationcopapereconomicseducationempirical-researchinternational-relationspolitical-sciencepsychologypublic-administrationreproducible-researchskills-librarysocial-sciencesociology
Install in seconds
Install Auto-Empirical Research
Copy Auto-Empirical Research into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills ~/.claude/skills/Auto-Empirical-Research-Skills

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
SKILL.md in brycewang-stanford/Auto-Empirical-Research-Skills
Installs to
~/.claude/skills/Auto-Empirical-Research-Skills
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What Auto-Empirical Research does

Auto-Empirical Research routes empirical-research requests to the right vendored skill from a catalog of 1,096 skills across 76 collections, covering causal inference, econometrics, data acquisition, writing, and peer review.

Auto-Empirical Research is cataloged under AI Engineering on DirSkills. Auto-Empirical Research comes from a repository tagged academic-research, agent-skills, ai-agent, awesome-list and communication.

Documentation

README

Auto-Empirical Research Skills Router

Use this root skill when the full AERS repository has been installed as a single skill folder. Treat it as a router and catalog, not as a request to load every vendored SKILL.md.

The catalog holds 1,096 skills across 76 vendored collections. Never read them all — route to one, then load only that skill's SKILL.md.

Workflow

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Auto-Empirical Research

  • What else does brycewang-stanford publish alongside Auto-Empirical Research?

    Auto-Empirical Research is one of 25 skills that DirSkills catalogs from brycewang-stanford/Auto-Empirical-Research-Skills, the repository it ships in. Its siblings there include Academic Paper Composer, Academic Proofreader and Avoid AI Writing. Each one is a separate skill with its own page in this directory, installs the same way Auto-Empirical Research does, and is maintained by brycewang-stanford in that same repository. The rest of the collection is listed on the brycewang-stanford/Auto-Empirical-Research-Skills page.

  • How does Auto-Empirical Research compare to other AI Engineering skills?

    Auto-Empirical Research ranks #608 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Auto-Empirical Research against them. Open each page to compare what they document and how they install.

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