Hypothesis Generation

Visual Enhancement with Scientific Schematics

⚠️ MANDATORY: Every hypothesis generation report MUST include at least 1-2 AI-generated figures using the scientific-schematics skill.

This is not optional. Hypothesis reports without visual elements are incomplete. Before finalizing any document:

1. Generate at minimum ONE schematic or diagram (e.g., hypothesis framework showing competing explanations)
2. Prefer 2-3 figures for comprehensive reports (mechanistic pathway, experimental design flowchart, prediction decision tree)

How to generate figures:

• Use the scientific-schematics skill to generate AI-powered publication-quality diagrams
• Simply describe your desired diagram in natural language
• Nano Banana Pro will automatically generate, review, and refine the schematic

How to generate schematics:

The AI will automatically:

• Create publication-quality images with proper formatting
• Review and refine through multiple iterations
• Ensure accessibility (colorblind-friendly, high contrast)
• Save outputs in the figures/ directory

When to add schematics:

• Hypothesis framework diagrams showing competing explanations
• Experimental design flowcharts
• Mechanistic pathway diagrams
• Prediction decision trees
• Causal relationship diagrams
• Theoretical model visualizations
• Any complex concept that benefits from visualization

For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.

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Workflow

Follow this systematic process to generate robust scientific hypotheses:

1. Understand the Phenomenon

Start by clarifying the observation, question, or phenomenon that requires explanation:

• Identify the core observation or pattern that needs explanation
• Define the scope and boundaries of the phenomenon
• Note any constraints or specific contexts
• Clarify what is already known vs. what is uncertain
• Identify the relevant scientific domain(s)