End-to-end data analysis workflow in R or Python — from exploration through regression to publication-ready tables and figures.

Custom licenceAuto-check: notesData & Analytics

Install Data Analysis

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-analysis -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-analysis --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/15-Felpix-Studios-social-science-research/skills/data-analysis .claude/skills/data-analysis && 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
data-analysis
GitHub stars
4.5k
Token cost
~1.9k tokens
SKILL.md length
623 words
Files
1
Skills in repo
369
Repo updated
First seen
Licence
Custom licence

At a glance

End-to-end data analysis workflow in R or Python — from exploration through regression to publication-ready tables and figures.

  • The user wants to run any empirical analysis
  • SKILL.md covers Phase 0: Choose Language, R Track, Python Track and Shared Principles
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Write analysis code

What it does

Data Analysis is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. End-to-end data analysis workflow in R or Python — from exploration through regression to publication-ready tables and figures. Make sure to use this skill whenever the user wants to run any empirical analysis, write analysis code, or produce output from data. Triggers include: "analyze this data", "run a regression", "write R code for this", "write Python code for this", "I have a dataset", "help me with this regression", "run a DiD", "run an RDD", "event study", "IV regression", "fit a model", "produce a…

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering Data analysis. It works with Python. 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…

When your agent uses it

  • The user wants to run any empirical analysis
  • Write analysis code
  • Produce output from data
  • Include: analyze this data

Example prompts

  • “analyze this data”
  • “run a regression”
  • “write R code for this”
  • “/data-analysis”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Grep, Glob, Write, Edit, Bash, Task, AskUserQuestion

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 these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Glob
    • Write
    • Edit
    • Bash
    • Task
    • AskUserQuestion

    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 r and python).

    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

Data Analysis loads about 1.9k tokens when it runs. Until then it costs about 159 tokens; SKILL.md has 623 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~159
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Grep, Glob, Write, Edit, Bash, Task, AskUserQuestion

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 623 words (~1,912 tokens).

“Run an end-to-end data analysis in R or Python: load, explore, analyze, and produce publication-ready output.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
data-analysis
allowed-tools
Read, Grep, Glob, Write, Edit, Bash, Task, AskUserQuestion
argument-hint
[dataset path or description of analysis goal]

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/15-Felpix-Studios-social-science-research/skills/data-analysis of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Data Analysis 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.

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Data Analysis this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.9kAutomated safety check: NotesCustom licence
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MatlabzLanqing/codex-claude-academic-skills4.6k9 repos~2.3kAutomated safety check: NotesGPL-3.0
Raccoon DataanalysisSenseTime-Copilot/raccoon-dataanalysis-skill137—~1.9kAutomated safety check: PassNone
Meridian MMM Model Buildinggoogle/meridian1.6k—~2.5kAutomated safety check: PassApache-2.0

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Works with

Questions about Data Analysis

What does Data Analysis do?

End-to-end data analysis workflow in R or Python — from exploration through regression to publication-ready tables and figures. Data Analysis is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. End-to-end data analysis workflow in R or Python — from exploration through regression to publication-ready tables and figures.

When should I use Data Analysis?

Data Analysis fits situations like: the user wants to run any empirical analysis; write analysis code; produce output from data; include: analyze this data.

How do I install Data Analysis in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-analysis -a claude-code`. Or copy the skill folder (skills/15-Felpix-Studios-social-science-research/skills/data-analysis in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/data-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Data Analysis in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-analysis -a codex`. Or copy the skill folder (skills/15-Felpix-Studios-social-science-research/skills/data-analysis in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/data-analysis in your project. Codex loads it when a task matches its description.

Can I use Data Analysis 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 data-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-analysis, .gemini/skills/data-analysis, .github/skills/data-analysis and .opencode/skills/data-analysis in your project.

What does Data Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Data Analysis is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Grep, Glob, Write, Edit, Bash, Task, AskUserQuestion.

Does Data Analysis 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 Data Analysis safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Data Analysis use?

Data Analysis 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 Data Analysis use?

About 1.9k tokens (SKILL.md is roughly 7.6k 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 Data Analysis?

Skills that share tags, products or a category with Data Analysis: Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars), Python Executor (cortega26/chile-hub, 113 stars), Matlab (zLanqing/codex-claude-academic-skills, 4.6k stars) and Raccoon Dataanalysis (SenseTime-Copilot/raccoon-dataanalysis-skill, 137 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Analysis?

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.