Plotting SOP

What problem does it solve?

This Skill removes the friction of producing research-quality figures by standardizing the end-to-end workflow from environment checks, to engine selection, to rendering and validation—so you can focus on the content, not formatting.

Core Features & Use Cases

• Engine selection decision tree: Automatically chooses the best rendering engine for your figure type (Python charts, Mermaid diagrams, NanoBanana AI images, or SVG vector graphics).
• ReAct self-correction with guarded execution: Runs generated Python/Mermaid workflows, detects failure, and retries up to three times with targeted fixes.
• Academic style and quality checklist: Enforces publication-oriented rules (English labels, DPI 300+, white background, colorblind-safe palettes) and validates outputs after every run.
• NanoBanana (OpenRouter) for complex diagrams: Provides a cost-aware, confirmation-first path to generate polished, publication-ready complex research diagrams.

Quick Start

Ask: "Create a publication-ready line chart for my dataset and save it as a figure with an English caption."