Standard operating procedure for academic figure generation. Four rendering engines: Python (data viz), Mermaid (flowcharts), AI Image via NanoBanana/OpenRouter (complex diagrams), SVG (vector). Includes engine selection decision tree, ReAct self-correction, NanoBanana configuration, environment detection, and academic style rules.
$npx -y skills add wentorai/research-claw --skill plotting-sopInstalls into the current project.
Run `npx skills use "https://github.com/wentorai/research-claw" --skill "wentorai/research-claw/plotting-sop"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/wentorai/research-claw" that are relevant to the current task. Run `npx skills add "https://github.com/wentorai/research-claw"` and select the relevant skills, then follow their instructions.