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mcp/skillhub

Agent Skill

Figure Style skill

figure-styleaipoch/open-scienceresources/skills/figure-style/SKILL.md

Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots. Use for a figure that will ship in a report, paper, export, or kept artifact. Covers data fidelity, label economy, color threading, chart choice, layout, and render-then-verify QA without imposing a visual house style. For multi-panel composition use `figure-composer`; for whole-paper ordering use `paper-narrative`.

5.3kApache-2.0

always on

91 tokname + description

once used

4,724 tokSKILL.md body

bundled files

21 scripts

repo stars

5.3kGitHub

Install the Figure Style skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/aipoch/open-science --skill figure-style

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/aipoch/open-science.git /tmp/open-science
mkdir -p ~/.claude/skills
cp -R /tmp/open-science/resources/skills/figure-style ~/.claude/skills/figure-style

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description91 tok
When the agent uses itThe SKILL.md instructions4,724 tok
Only if opened2 bundled files (18 KB)varies

Until it is used, figure-style costs about 15× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 25 skills from aipoch/open-science would load 2,130 tokens of descriptions. Skills vs MCP study

Checks

  • Ships scripts the agent can run. Read them before installing.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Publication-Grade Figure Rules
  • Open-Science Notebook call
  • §0 Scope
  • §1 Data fidelity & self-consistency
  • §2 Label economy — floor and ceiling
  • §3 Axes, scales, small multiples
  • §4 Color
  • §5 Typography
  • §6 Chart-family guidance (by data shape)
  • §7 Layout & narrative
  • §8 Anti-patterns
  • §9 Render-then-verify

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