Empirical Research Navigator

Empirical Research Navigator 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

View source on GitHub Download repo ZIP

academic-researchagent-skillsai-agentawesome-listcommunicationcopapereconomicseducationempirical-researchinternational-relationspolitical-sciencepsychologypublic-administrationreproducible-researchskills-librarysocial-sciencesociology

Install in seconds

Install Empirical Research Navigator

Copy Empirical Research Navigator 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/tree/main/docs ~/.claude/skills/docs

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: docs/CHOOSING_A_SKILL.md in brycewang-stanford/Auto-Empirical-Research-Skills
Installs to: ~/.claude/skills/docs
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Empirical Research Navigator does

Empirical Research Navigator routes agents to the correct empirical research skill by goal, method, and language across a library of 1,052 skills. Use it before starting an empirical pipeline, paper, or replication package to select Python, Stata, or R workflows and linked AER skills.

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

Documentation

README

Excerpt

Which skill should I use?

1,052 skills is a lot. This guide routes you to the right one by what you are trying to do, then by method and language. For interactive filtering use search.html; for the full tag index see TAXONOMY.md; for copy-paste end-to-end runs see GOLDEN_WORKFLOWS.md.

Trust note: a green hygiene score in SKILL_HYGIENE.md means a skill is well-formed. Whether it makes an agent produce correct econometrics is what eval-harness/ and benchmark/ measure. Prefer skills whose behavior is covered by an eval scenario.

Start from your goal

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

Frequently asked about Empirical Research Navigator

What else does brycewang-stanford publish alongside Empirical Research Navigator?
Empirical Research Navigator 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 Auto-Empirical Research. Each one is a separate skill with its own page in this directory, installs the same way Empirical Research Navigator 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 Empirical Research Navigator compare to other AI Engineering skills?
Empirical Research Navigator ranks #609 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 Empirical Research Navigator against them. Open each page to compare what they document and how they install.