Automated hypothesis generation using abductive reasoning and knowledge graph traversal
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill hypothesis-generator --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: hypothesis-generator
description: Automated hypothesis generation using abductive reasoning and knowledge graph traversal
allowed-tools:
- Bash
- Read
- Write
- Edit
- Glob
- Grep
metadata:
specialization: scientific-discovery
domain: science
category: hypothesis-reasoning
phase: 6
graph:
domains: [domain:scientific-discovery]
specializations: [specialization:scientific-research-methods]
skillAreas: [skill-area:data-analysis, skill-area:statistical-analysis, skill-area:deep-web-research]
workflows: [workflow:experiment-design, workflow:peer-review-cycle]
roles: [role:research-engineer, role:computational-scientist]
---
# Hypothesis Generator
## Purpose
Provides automated hypothesis generation capabilities using abductive reasoning, analogy detection, and knowledge graph traversal.
## Capabilities
- Pattern-based hypothesis generation
- Cross-domain analogy detection
- Contradiction identification
- Hypothesis ranking by novelty/parsimony
- Null hypothesis formulation
- Falsifiability assessment
## Usage Guidelines
1. **Pattern Recognition**: Identify patterns that suggest hypotheses
2. **Analogy**: Transfer insights from related domains
3. **Falsifiability**: Ensure hypotheses are testable
4. **Ranking**: Prioritize hypotheses by potential impact
## Tools/Libraries
- Knowledge graphs
- LLM chains
- Symbolic reasoners
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