Agent skill · research science · aiskillstore
hypothesis-generation
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.
Why this skill is useful
Provides structured methodologies for hypothesis generation and experimental design that the AI wouldn't reliably generate on its own.
What it needs
About 8k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Scientific Hypothesis Generation Overview Hypothesis generation is a systematic process for developing testable explanations. Formulate evidence-based hypotheses from observations, design experiments, explore competing explanations, and develop predictions. Apply this skill for scientific inquiry across domains. When to Use This Skill This skill should be used when: Developing hypotheses from observations or preliminary data Designing experiments to test scientific questions Exploring competing explanations for phenomena Formulating testable predictions for research Conducting literature-based hypothesis generation Planning mechanistic studies across scientific domains 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 …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/hypothesis-generation--43bb73