scientific-schematics

Craft structured prompts for generate_diagram to produce publication-grade scientific diagrams.

7|1|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/daidong/PiPilot --skill scientific-schematics-daidong
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-schematics
Source: https://github.com/daidong/PiPilot/tree/main/lib/skills/builtin/scientific-schematics
Command: npx skills add https://github.com/daidong/PiPilot --skill scientific-schematics-daidong

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides prompt guidance for the generate_diagram tool to produce publication-grade scientific diagrams by clarifying diagram type, necessary labels, and the required prompt structure for high-quality results.

Core Features & Use Cases

  • Prompt structure guidance: Use fixed slots (scene/use, subject, composition, key details, text, must_keep, avoid) to craft precise prompts that reduce model misinterpretation.
  • Diagram-type guidance: Tailor prompts for flowcharts, architectures, pathways, circuits, networks, and conceptual diagrams with explicit node/edge details.
  • Output control: Specify diagram_type (including auto inference), doc_type mapping, and output format (png or svg) to align with publication needs.
  • Use cases include drafting CONSORT-style flows, system diagrams, and schematic illustrations for papers or presentations.

Quick Start

Describe your intended diagram clearly using the fixed slot structure and tool options, then specify diagram_type, doc_type, and output format.

Frequently Asked Questions about scientific-schematics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write prompts to generate publication-quality scientific diagrams?

To generate publication-quality scientific diagrams, use a fixed prompt structure with specific slots: scene/use, subject, composition, key details, text, must_keep, and avoid. This structured approach reduces model misinterpretation and ensures high-quality outputs.

What is the best way to create a CONSORT-style flowchart for a research paper?

Creating a CONSORT-style flowchart requires tailoring your prompt with explicit node and edge details. By mapping the document type and specifying diagram_type, the tool aligns the generated flowchart with publication standards.

Can I output scientific schematics as SVG or PNG for presentations?

Yes, you can control the output format to generate either SVG or PNG files. Specifying the output format alongside your structured prompt ensures the schematic meets the formatting requirements of your publications or presentations.

Does this prompt structure support auto-inferring diagram types for system architectures?

Yes, the prompt structure supports diagram_type auto-inference for system architectures. It guides you to provide explicit node and edge details, allowing the model to automatically determine the appropriate architecture diagram layout.

Why does my generated network diagram have missing labels or incorrect composition?

Network diagrams often have missing labels or incorrect composition when prompt slots are incomplete. Defining the key details, text, and must_keep slots ensures the model retains critical labels and follows your specified composition layout.

What types of conceptual diagrams can I generate using fixed prompt slots?

Using fixed prompt slots, you can generate flowcharts, architectures, pathways, circuits, networks, and conceptual diagrams. Specifying scene/use and subject within the structure clarifies the necessary labels for your specific research visualization.