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figure-legends

Generate self-contained figure legends with statistical notation and panel descriptions.

Updated Aug 23, 2026
Search Tags:#research#data visualization#academic publishing#statistical reporting#figure legends#scientific writing#CNS journals
One-click install
npx skills add https://github.com/vitamin3615/Agent-skills --skill figure-legends
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: figure-legends
Source: https://github.com/vitamin3615/Agent-skills/tree/main/figure-legends
Command: npx skills add https://github.com/vitamin3615/Agent-skills --skill figure-legends

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps researchers create figure legends that are self-contained, include all necessary statistical notation (n=, P values), and provide sufficient panel descriptions, ensuring CNS-quality presentation.

Core Features & Use Cases

  • Self-Contained Legends: Ensures legends are understandable without referring to the main text, providing a complete title and key finding statement.
  • Statistical Detail: Guides inclusion of sample sizes, error bar definitions, P values, and statistical tests for all quantitative panels.
  • Use Case: Generate or refine figure legends for a scientific manuscript, guaranteeing they meet the rigorous standards of top-tier journals like Nature, Cell, or Science, including scale bars for microscopy.

Quick Start

Write figure legends for my data, ensuring complete independence, proper statistical notation, and sufficient panel descriptions.