Agent skill · Code Review & Quality

figures

Design and format publication-quality figures: chart choice, color, scales, legends, captions, reproducibility.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill figures --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/54-scdenney-open-science-skills/skills/figures/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Figure Designer ## Heritage and scope This is an original Open Science Skills workflow for figure production in social-science manuscripts. It is general — apply to any figure type (line, bar, point, density, map, network, small multiples). For figures whose interpretation depends on method-specific standards, also consult the relevant sibling skill (`conjoint-design`, `conjoint-diagnostics`, `l

More from Auto-Empirical-Research-Skills
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About this skill
What does the figures skill do?

Design and format publication-quality figures: chart choice, color, scales, legends, captions, reproducibility.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill figures --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going