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claude-codescience

Babysitter hypothesis-generator

Automated hypothesis generation using abductive reasoning and knowledge graph traversal

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/scientific-discovery/skills/hypothesis-generator" ~/.claude/skills/a5c-ai-babysitter-hypothesis-generator && rm -rf "$T"
manifest: library/specializations/domains/science/scientific-discovery/skills/hypothesis-generator/SKILL.md
tags
#hypothesis-generation#abductive-reasoning#knowledge-graph#scientific-discovery#analogy-detection
source content

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