Econometrics skill for generating publication-quality figures for top economics journals.

Custom licenceAuto-check passedResearch & Science

Install Figure

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills figure --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/67-econfin-workflow-toolkit/figure .claude/skills/figure && 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
figure
GitHub stars
4.5k
Token cost
~5.9k tokens
SKILL.md length
548 words
Files
1
Skills in repo
364
Repo updated
First seen
Licence
Custom licence

At a glance

Econometrics skill for generating publication-quality figures for top economics journals.

  • Works in 8 steps: Event Study / Dynamic Treatment Effects → Coefficient Plot (Multiple Models) → Binned Scatter Plot (binscatter) → …
  • Asks about: econometric figure
  • SKILL.md covers Journal Requirements Summary, Base Setup: Journal-Ready…, Common Econometric Figure Types and Formatting Checklist, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Figure is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Econometrics skill for generating publication-quality figures for top economics journals. Activates when the user asks about: "econometric figure", "publication figure", "journal figure", "AER figure", "QJE figure", "event study plot", "coefficient plot", "coefplot", "binned scatter", "binscatter", "RDD plot", "parallel trends plot", "kernel density", "distribution plot", "time series plot", "map", "figure formatting", "academic plot", "论文图表", "学术图", "系数图", "事件研究图", "散点图", "分布图", "趋势图", "回归可视化"

Its SKILL.md is about 5.9k 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 Research & Science, covering Data visualization, Econometrics and empirical research and Forecasting and time series. 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

  • Asks about: econometric figure
  • Publication figure
  • Event study plot
  • Coefficient plot

Example prompts

  • “econometric figure”
  • “publication figure”
  • “journal figure”
  • “/figure”

Requirements

  • Python 3

Workflow steps

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

  1. Event Study / Dynamic Treatment Effects
  2. Coefficient Plot (Multiple Models)
  3. Binned Scatter Plot (binscatter)
  4. RDD Visualization
  5. Kernel Density / Distribution Comparison
  6. Time Series / Trend Plot
  7. Synthetic Control Gap Plot
  8. Multi-Panel Figures

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, r, stata and latex).

    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

Figure loads about 5.9k tokens when it runs. Until then it costs about 127 tokens; SKILL.md has 548 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~127
When it runs · the whole SKILL.md, loaded when a task matches
~5.9k

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 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 548 words (~5,934 tokens).

“This skill generates figure code that meets the formatting standards of top economics journals (AER, QJE, ReStud, Econometrica, JPE). It covers the most common econometric figure types with precise control over fonts, colors, dimensions, and export formats.”

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

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/67-econfin-workflow-toolkit/figure of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Figure 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.

Figure compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Figure this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~5.9kAutomated safety check: PassCustom licence
Jape Identification Strategyfranklee16/academic-research-skills2231 repos~707Automated safety check: PassNone
Econometric Research Writingfranklee16/academic-research-skills223—~2.4kAutomated safety check: PassNone
Fin Arch Diagramcsmar432/finai-research109—~1.5kAutomated safety check: PassMIT
Senior Data Scientistborghei/Claude-Skills881—~1.7kAutomated safety check: PassMIT
Research Analysis Routerwentorai/Research-Claw858—~169Automated safety check: PassCustom licence

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Questions about Figure

What does Figure do?

Econometrics skill for generating publication-quality figures for top economics journals. Figure is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Econometrics skill for generating publication-quality figures for top economics journals.

When should I use Figure?

Figure fits situations like: asks about: econometric figure; publication figure; event study plot; coefficient plot.

How do I install Figure in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill figure -a claude-code`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/figure in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/figure in your project. Claude Code loads it when a task matches its description.

How do I install Figure in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill figure -a codex`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/figure in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/figure in your project. Codex loads it when a task matches its description.

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

What does Figure need to run?

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

Does Figure 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 Figure 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 Figure use?

Figure 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 Figure use?

About 5.9k tokens (SKILL.md is roughly 24k 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 Figure?

Skills that share tags, products or a category with Figure: Jape Identification Strategy (franklee16/academic-research-skills, 223 stars), Econometric Research Writing (franklee16/academic-research-skills, 223 stars), Fin Arch Diagram (csmar432/finai-research, 109 stars) and Senior Data Scientist (borghei/Claude-Skills, 881 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Figure?

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.