Agent skill

Data Scientist

by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills

Data science methodology for Python research: EDA, validation, causal inference (IV, DiD, RD, synthetic control), clustering/PCA/UMAP, supervised ML, geospatial, visualization.

Custom licenceAuto-check passedData & Analytics

Install Data Scientist

skills CLI

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

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

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-scientist --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/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist .claude/skills/data-scientist && 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/

Paste into Claude Code

Install the "data-scientist" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist into .claude/skills/data-scientist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-scientist", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-scientist -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-scientist --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist .agents/skills/data-scientist && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "data-scientist" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist into .agents/skills/data-scientist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-scientist", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-scientist -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-scientist --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist .cursor/skills/data-scientist && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "data-scientist" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist into .cursor/skills/data-scientist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-scientist", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-scientist -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-scientist --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist .gemini/skills/data-scientist && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "data-scientist" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist into .gemini/skills/data-scientist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-scientist", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-scientist

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-scientist -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist .github/skills/data-scientist && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "data-scientist" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist into .github/skills/data-scientist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-scientist", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-scientist -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-scientist --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist .opencode/skills/data-scientist && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "data-scientist" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist into .opencode/skills/data-scientist/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-scientist", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: data-scientist
GitHub stars: 4.5k
Token cost: ~9.8k tokens
SKILL.md length: 2,174 words
Files: 16 (incl. references)
Skills in repo: 364
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: Custom licence

At a glance

Data science methodology for Python research: EDA, validation, causal inference (IV, DiD, RD, synthetic control), clustering/PCA/UMAP, supervised ML, geospatial, visualization.

Works in 5 steps: Load and inspect (do not transform yet) → Check data quality → Understand distributions → …
Tasks that involve Geospatial analysis
SKILL.md covers Core Principles - NON-NEGOTIABLE, Related Skills - When to Load, Reference File Structure and Quick Decision Trees, plus 2 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Data Scientist is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Data science methodology for Python research: EDA, validation, causal inference (IV, DiD, RD, synthetic control), clustering/PCA/UMAP, supervised ML, geospatial, visualization. Method selection guidance. For syntax, load tool-specific skills.

Its SKILL.md is about 9.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including reference files (for example `references/causal-inference.md`, `references/code-documentation.md` and `references/data-documentation.md`).

It sits in Data & Analytics, covering Geospatial analysis and Econometrics and empirical research. It works with Python and UMAP. 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 Geospatial analysis
Tasks that involve Econometrics and empirical research

Example prompts

“/data-scientist”

Requirements

Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

Load and inspect (do not transform yet)
Check data quality
Understand distributions
Identify granularity
Document findings before proceeding

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 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 Scientist loads about 9.8k tokens when it runs, and up to ~125k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 2,174 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~64
When it runs · the whole SKILL.md, loaded when a task matches: ~9.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~125k

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 2,174 words (~9,821 tokens).

“Rigorous data science methodology and mindset for Python research. Covers EDA, data validation, transformation verification, documentation standards, visualization design, descriptive analysis, statistical modeling, causal inference method selection (IV, DiD, RD, synthetic control), unsupervised analysis (clustering, PCA, UMAP), supervised ML methodology…”

— opening of SKILL.md by brycewang-stanford, Custom licence

name: data-scientist
metadata.audience: any-agent
metadata.domain: research-methodology

Outline of SKILL.md

Data Scientist Skill
Core Principles - NON-NEGOTIABLE
Principle 1: Data Robustness First
Principle 2: Documentation First
Principle 3: Verify Every Operation
Principle 4: Thorough Code Documentation (ENFORCED)
Principle 5: Focus on Research Questions
Related Skills - When to Load
Reference File Structure
Validation Tracking
Quick Decision Trees
"I'm starting a new analysis"
"I have unfamiliar data"
"I need to transform data"
"I need to communicate findings"
"I need to create a visualization"
"I need to analyze patterns in this data"
"I need to establish a causal relationship"
"I need to discover structure or groupings in data"
"I'm working with geographic/spatial data"
"I need to predict an outcome or classify observations"
Essential Workflows
New Data Workflow
Transformation Workflow
Analysis Workflow
Quick Checklists
Initial Data Inspection Checklist
Pre-Transformation Checklist
Post-Transformation Checklist
Documentation Checklist

Read the full SKILL.md on GitHub

Files

SKILL.md and 15 other files (references) in skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist of brycewang-stanford/Auto-Empirical-Research-Skills.

SKILL.md
references/causal-inference.md
references/code-documentation.md
references/data-documentation.md
references/descriptive-analysis.md
references/eda-checklist.md
references/exploratory-unsupervised.md
references/geospatial-analysis.md
references/geospatial-operations.md
references/research-questions.md
references/statistical-modeling.md
references/supervised-ml.md
references/survey-analysis.md
references/transformation-validation.md
references/visualization-design.md
references/visualization-execution.md

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Data Scientist 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 Scientist compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Data Scientist this skillbrycewang-stanford/Auto-Empirical-Research-Skills	4.5k	—	~9.8k	Automated safety check: Pass	Custom licence	3 days ago
Rs Paper Pipelinethinson/RS-PaperClaw	227	—	~319	Automated safety check: Pass	MIT	yesterday
Cuml Machine Learningwahyudesu/Fastapi-AI-Production-Template	114	—	~1.8k	Automated safety check: Pass	MIT	5 mo ago
GeomasterLeonChaoX/qinyan-academic-skills	938	1 repos	~2.9k	Automated safety check: Pass	MIT	2 mo ago
GeoPandas Spatial Analysisdavila7/claude-code-templates	32k	10 repos	~1.8k	Automated safety check: Pass	MIT	today
Fin Arch Diagramcsmar432/finai-research	109	—	~1.5k	Automated safety check: Pass	MIT	2 days ago

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Works with

Questions about Data Scientist

What does Data Scientist do?

Data science methodology for Python research: EDA, validation, causal inference (IV, DiD, RD, synthetic control), clustering/PCA/UMAP, supervised ML, geospatial, visualization. Data Scientist is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Data science methodology for Python research: EDA, validation, causal inference (IV, DiD, RD, synthetic control), clustering/PCA/UMAP, supervised ML, geospatial, visualization.

When should I use Data Scientist?

Data Scientist fits situations like: tasks that involve Geospatial analysis; tasks that involve Econometrics and empirical research.

How do I install Data Scientist in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-scientist -a claude-code`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/data-scientist in your project. Claude Code loads it when a task matches its description.

How do I install Data Scientist in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-scientist -a codex`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/data-scientist in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/data-scientist in your project. Codex loads it when a task matches its description.

Can I use Data Scientist 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-scientist -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-scientist, .gemini/skills/data-scientist, .github/skills/data-scientist and .opencode/skills/data-scientist in your project.

What does Data Scientist need to run?

SKILL.md names no scripts, command-line tools or credentials: Data Scientist is instructions for the agent only. Our summary lists: Python 3.

Does Data Scientist 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 Scientist 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 Data Scientist use?

Data Scientist 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 Scientist use?

About 9.8k tokens (SKILL.md is roughly 39k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 115k tokens, read only when the agent opens those files.

What are the alternatives to Data Scientist?

Skills that share tags, products or a category with Data Scientist: Rs Paper Pipeline (thinson/RS-PaperClaw, 227 stars), Cuml Machine Learning (wahyudesu/Fastapi-AI-Production-Template, 114 stars), Geomaster (LeonChaoX/qinyan-academic-skills, 938 stars) and GeoPandas Spatial Analysis (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 Data Scientist?

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.

Install Data Scientist

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

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

Related

Questions about Data Scientist