From pnas-skills
Finalizes PNAS display items with sizing, fonts, colorblind-safe palettes, legend structure, and integrity checks.
How this skill is triggered — by the user, by Claude, or both
Slash command
/pnas-skills:pnas-figuresThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- Figures and tables push the page/item allowance (`pnas-writing`).
pnas-writing).PNAS is a multi-column journal; design each figure to render at a standard print width without rescaling text:
Confirm exact widths in current PNAS author/digital-art guidelines.
Each legend: a short title sentence (the claim of the figure), then per-panel descriptions (A, B, C…), then statistics (test, n, error-bar definition, exact P or values). The legend should let the figure stand alone.
pnas-data).【Item count】 figures + tables vs page/item allowance (confirm guidelines) → ok / over
【Sizing】 designed at 9 / 11.4 / 18 cm? fonts ≥ ~6–8 pt? yes/no
【Data shown】 points + n + defined error bars? yes/no
【Color】 colorblind-safe? RGB online / CMYK-print aware? grayscale-readable? yes/no
【Integrity】 scale bars / uncropped blots in SI / source data kept? yes/no
【Fixes】 [...]
【Next】 pnas-statistics
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin pnas-skillsEnforces Science figure standards: panel/word budget, column-width sizing, font legibility, colorblind-safe palettes, data display (points over bars), and figure legend structure. Use before submission.
Finalizes figures for Cell Press submission: column-width sizing (85/114/174 mm), dot plots with defined n and error bars, scale bars, colorblind-safe palettes, multi-panel layout, stand-alone legends, and image integrity checks.
Guides PNAS figure preparation: 300-1000 PPI resolution checks with Pillow, Matplotlib sizing for publication widths, TIFF/EPS/PDF formats, RGB-only color, Arial/Helvetica fonts, italic uppercase panel labels.