What problem does it solve?
Converts experimental observations or preliminary data into structured, evidence-based scientific hypotheses with clear mechanisms, competing explanations, and falsifiable predictions.
Core Features & Use Cases
- Scientific Hypothesis Structuring: Builds 3–5 competing mechanistic hypotheses, each with core assumptions and key supporting evidence.
- Evidence-Grounded Development: Guides literature searching and synthesis to ground hypotheses in existing findings and identify gaps or conflicts.
- Experiment & Prediction Planning: Translates hypotheses into experimental tests and quantitative, falsifiable predictions, including discriminating comparisons.
- Publication-Ready Reporting: Produces a structured LaTeX hypothesis report using a dedicated template and styled colored sections (summary, hypotheses, predictions, comparisons, appendices).
- Mandatory Scientific Figures: Enforces creation of 1–2 schematic figures via the scientific-schematics skill to complete hypothesis reports.
Quick Start
Use the hypothesis-generation skill to generate a structured scientific hypothesis report from your observations, ensuring your output includes at least one schematic figure generated with the scientific-schematics skill.