Agent skill · Data & Analytics

pnasnexus-figures

Use to finalize PNAS Nexus display items — count figures and tables against the graphical-element budget, size to journal column widths, set legible fonts, show-the-data with n and defined error bars, scale bars, colorblind-safe palettes, legend structure, and image integrity (raw, unprocessed images must be retained). Enforces figure rigor before submission.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pnasnexus-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: 5 KB
Bundled scripts: none
Path: PNAS-Nexus-Skills/skills/pnasnexus-figures/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
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

# Display Items (pnasnexus-figures) ## When to trigger - Figures and tables push the page / graphical-element budget (`pnasnexus-writing`). - Fonts are unreadable at print size, or colors are not colorblind-safe. - Bar charts hide the underlying data (no points, no n). - Panels are screenshots of software output pasted into the figure. - You are unsure how figures count against the length limit. #

More from Awesome-Journal-Skills
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About this skill
What does the pnasnexus-figures skill do?

Use to finalize PNAS Nexus display items — count figures and tables against the graphical-element budget, size to journal column widths, set legible fonts, show-the-data with n and defined error bars, scale bars, colorblind-safe palettes, legend structure, and image integrity (raw, unprocessed images must be retained). Enforces figure rigor before submission.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pnasnexus-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/Awesome-Journal-Skills, a repository with 909 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