skills/yulonglin/dotfiles/anthropic-style

anthropic-style

SKILL.md

Anthropic Visual Style

Use this skill when generating any visual output that should look Anthropic-branded: plots, charts, diagrams, slides, or web pages.

Quick Start (matplotlib — primary use case)

from anthro_colors import use_anthropic_defaults
use_anthropic_defaults()

import matplotlib.pyplot as plt
fig, ax = plt.subplots()
# All plots now use Anthropic style automatically

This loads ~/.config/matplotlib/stylelib/anthropic.mplstyle which sets:

  • White background (#FFFFFF)
  • PRETTY_CYCLE colors (see references/colors.md)
  • No top/right spines, clean typography
  • 300 DPI saves with tight bbox

Domain-Specific References

Load the relevant reference for your output type:

Domain Reference When
matplotlib references/matplotlib.md Python plots, charts, figures
Colors references/colors.md Color palette lookup for any domain
HTML/CSS references/web-css.md Web pages, HTML artifacts
TikZ references/tikz.md LaTeX diagrams for papers

Key Colors (quick reference)

Name Hex Use
DARK_ORANGE (BOOK_CLOTH) #B86046 Primary accent, first in cycle
GREY #656565 Secondary, neutral elements
DARK_BLUE #40668C Tertiary accent
SLATE (GREY_950) #141413 Text, axes
IVORY (GREY_050) #FAF9F5 Light backgrounds (brand)
CLAY #D97757 Warm accent
SKY #6A9BCC Cool accent
OLIVE #788C5D Nature/green accent

Full palette with all 9 hue ramps (orange through red, 100-900 each) in references/colors.md.

Ground Truth

All color values come from lib/plotting/anthro_colors.py — that file is the single source of truth. If a hex code here conflicts with that file, the file wins.

Weekly Installs
26
GitHub Stars
3
First Seen
Feb 15, 2026
Installed on
amp26
github-copilot26
codex26
kimi-cli26
gemini-cli26
opencode26