Our review

Guides users through a structured process to transform observations into testable scientific hypotheses, grounded in literature and rigorous evaluation.

Strengths

Systematic multi-step workflow from observation to prediction.
Generates multiple competing hypotheses to avoid confirmation bias.
Clear criteria (testability, falsifiability, parsimony) for evaluating hypothesis quality.
Integrates literature search and evidence synthesis.

Limitations

Requires access to databases or literature for full effectiveness.
Assumes baseline domain knowledge from the user.
May oversimplify highly complex or interdisciplinary phenomena.

When to use it

Use when you need to develop a rigorous, testable hypothesis from an initial observation or research question.

When not to use it

Avoid when you need immediate experimental results or when the question is purely exploratory without prior literature.

Examples

Plant growth under moonlight

Help me develop a hypothesis about why certain plants grow faster in moonlight. Use the hypothesis development workflow.

Green button click behavior

I have an observation that users who see a green button are more likely to click. Generate testable hypotheses for this phenomenon.

Vaccine hesitancy research

Transform my research question on vaccine hesitancy into structured hypotheses with experimental tests.

name: hypothesis-dev description: Develop testable scientific hypotheses through systematic observation analysis, literature grounding, and rigorous experimental design. Guides the journey from observation to testable prediction. allowed-tools: [Read, Write, Edit, Bash, WebSearch, WebFetch, Task]

Hypothesis Development Assistant

Purpose

Transform observations and research questions into well-formed, testable hypotheses grounded in existing evidence. This skill guides systematic hypothesis generation across scientific disciplines.

Development Workflow

Step 1: Define the Phenomenon

Articulate the observation or question clearly
Identify what is known versus unknown
Establish the knowledge gap to address

Step 2: Ground in Literature

Search existing research using paper-search and lit-review skills
Identify relevant theories and prior findings
Note contradictions or unexplained patterns

Step 3: Synthesize Evidence

Integrate findings across sources
Map the current state of knowledge
Pinpoint specific gaps your hypothesis could address

Step 4: Generate Competing Explanations

Develop 3-5 distinct mechanistic hypotheses
Ensure each offers a different explanation
Consider null and alternative framings

Step 5: Evaluate Hypothesis Quality

Assess each hypothesis against criteria:

Testability: Can it be empirically examined?
Falsifiability: What would disprove it?
Explanatory scope: How much does it explain?
Parsimony: Is it appropriately simple?
Consistency: Does it align with established knowledge?

Step 6: Design Experimental Tests

Propose specific experiments for each hypothesis
Identify required methods and resources
Consider feasibility and ethical constraints

Step 7: Formulate Predictions

Generate quantitative, testable predictions
Specify expected outcomes under each hypothesis
Define criteria for supporting or rejecting

Step 8: Document Systematically

Structure output for clarity and rigor
Include competing hypotheses with rationales
Present experimental roadmap

Quality Standards

Strong hypotheses must be:

Evidence-based: Grounded in prior research
Testable: Amenable to empirical investigation
Mechanistic: Explaining how/why, not just what
Specific: Clear enough to guide experiments
Falsifiable: Capable of being proven wrong

Output Structure

Executive Summary

Brief overview of the question and leading hypotheses

Competing Hypotheses Section

Present each hypothesis with:

Clear statement
Supporting evidence
Mechanistic explanation
Distinguishing predictions

Experimental Roadmap

Prioritized tests
Required resources
Decision criteria

Literature Foundation

Comprehensive citations supporting the analysis (aim for 30-50+ sources for thorough work)

Integration

Works alongside:

paper-search for literature discovery
lit-review for evidence synthesis
academic-writing for manuscript preparation

Scientific Hypothesis Development

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