Stata Style Figures

by kennethkhoocy

Stata Style Figures is a Data skill for Claude Code, published by kennethkhoocy in applied-micro-skills.

48 stars0 forkson kennethkhoocy/applied-micro-skillsAdded 2026/08/11Repository updated 2026/07/22

View source on GitHub Download repo ZIP

applied-microeconomicsclaude-codeclaude-skillscodexcodex-skillsempirical-research

Install in seconds

Install Stata Style Figures

Copy Stata Style Figures 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/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/stata-style-figures ~/.claude/skills/stata-style-figures

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/kennethkhoocy/applied-micro-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: plugins/applied-micro/skills/stata-style-figures/SKILL.md in kennethkhoocy/applied-micro-skills
Installs to: ~/.claude/skills/stata-style-figures
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Stata Style Figures does

Applies the Stata 18/19 default (stcolor) scheme to matplotlib figures, embedding Arial fonts, white background, recessive grid, and validated blue/red/gray palette. Use when generating publication-quality charts for papers, reports, or slides.

Stata Style Figures is cataloged under Data on DirSkills. Stata Style Figures comes from a repository tagged applied-microeconomics, claude-code, claude-skills, codex and codex-skills.

Documentation

README

Excerpt

Stata-style (stcolor) matplotlib figures

House style for publication figures, extracted from validated generators. Paste the rcParams block, use the palette constants, follow the grid rule, and never let a restyle change data content.

rcParams — paste at the top of every figure script

plt.rcParams.update({
    "font.family": "sans-serif",
    "font.sans-serif": ["Arial", "Helvetica", "DejaVu Sans"],
    "mathtext.fontset": "custom",
    "mathtext.rm": "Arial", "mathtext.it": "Arial:italic", "mathtext.bf": "Arial:bold",
    "pdf.fonttype": 42, "ps.fonttype": 42,   # embed fonts as TrueType
    "font.size": 9, "axes.linewidth": 0.6, "axes.edgecolor": "0.2",
    "axes.spines.top": False, "axes.spines.right": False, "axes.axisbelow": True,
})

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

Frequently asked about Stata Style Figures

What else does kennethkhoocy publish alongside Stata Style Figures?
Stata Style Figures is one of 25 skills that DirSkills catalogs from kennethkhoocy/applied-micro-skills, the repository it ships in. Its siblings there include Adversarial Empirical Review, Annotator Input Parity Check and AsyncOpenAI Concurrency Fix. Each one is a separate skill with its own page in this directory, installs the same way Stata Style Figures does, and is maintained by kennethkhoocy in that same repository. The rest of the collection is listed on the kennethkhoocy/applied-micro-skills page.
How does Stata Style Figures compare to other Data skills?
Stata Style Figures ranks #629 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. 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 Stata Style Figures against them. Open each page to compare what they document and how they install.