End-to-end R data analysis workflow 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/14-luischanci-claude-code-research-starter/dot-claude/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
~624 tokens
SKILL.md length
203 words
Files
1
Skills in repo
364
Repo updated
First seen
Licence
Custom licence

At a glance

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

  • Works in 5 steps: Setup and Data Loading → Exploratory Data Analysis → Main Analysis → …
  • Tasks that involve Data analysis
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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

Its SKILL.md is about 620 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. 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

  • Tasks that involve Data analysis

Example prompts

  • “/data-analysis”

Requirements

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

Workflow steps

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

  1. Setup and Data Loading
  2. Exploratory Data Analysis
  3. Main Analysis
  4. Publication-Ready Output
  5. Save and Review

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

    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).

    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 624 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 203 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~624

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

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 203 words (~624 tokens).

“Run an end-to-end data analysis in R through 5 phases.”

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

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/14-luischanci-claude-code-research-starter/dot-claude/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.

Data Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Data Analysis this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~624Automated safety check: NotesCustom licence
Exploratory Data Analysisspacering-net/codeg3.8k15 repos~3.6kAutomated safety check: PassMIT
Excel and CSV Data Analysisbytedance/deer-flow83k4 repos~2.2kAutomated safety check: PassMIT
Exploratory Data AnalysisOleafly/Oleafly2063 repos~3.4kAutomated safety check: NotesMIT
Python Executorcortega26/chile-hub1132 repos~1.5kAutomated safety check: PassMIT
Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill188—~4kAutomated safety check: PassMIT

Similar skills

  • Exploratory Data Analysis

    spacering-net/codeg

    Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.

    3.8k GitHub starsUsed in 15 repos~3.6k tokens
    Data & AnalyticsAuto-check passed
  • Excel and CSV Data Analysis

    bytedance/deer-flow

    Analyzes uploaded Excel and CSV files with SQL through DuckDB, producing schema inspections, statistical summaries and exports to CSV, JSON or Markdown.

    83k GitHub starsUsed in 4 repos~2.2k tokens
    Data & AnalyticsAuto-check passed
  • Perform bounded, local exploratory analysis of explicitly supported scientific files.

    206 GitHub starsUsed in 3 repos~3.4k tokens
    Data & AnalyticsAuto-check: notes
  • Python Executor

    cortega26/chile-hub

    Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).

    113 GitHub starsUsed in 2 repos~1.5k tokens
    Data & AnalyticsAuto-check passed
  • Agentic Kaggle Workflow

    FrankS-IntelLab/agentic-kaggle-skill

    Takes a Kaggle competition from rules and validation design through baselines, ensembling and notebook architecture to a scored submission.

    188 GitHub stars~4k tokensUpdated 3 mo ago
    Data & AnalyticsAuto-check passed
  • Yichen Wecom Local Vault

    mcncarl/yichen-skills

    Read, decrypt, query, search, and export local WeCom/企业微信 5.x desktop databases on macOS into a private read-only vault.

    4.3k GitHub stars~1.3k tokensUpdated 3 days ago
    Data & AnalyticsAuto-check passed

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

All 364 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 Data Analysis

What does Data Analysis do?

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

When should I use Data Analysis?

Data Analysis fits situations like: tasks that involve Data analysis.

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/14-luischanci-claude-code-research-starter/dot-claude/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/14-luischanci-claude-code-research-starter/dot-claude/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. Its frontmatter pre-approves these tools: Read, Grep, Glob, Write, Edit, Bash, Task.

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 624 tokens (SKILL.md is roughly 2.5k 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: Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars), Exploratory Data Analysis (Oleafly/Oleafly, 206 stars) and Python Executor (cortega26/chile-hub, 113 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 4,529 GitHub stars. The repository holds 364 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.