hypothesis-generator
Automated hypothesis generation using abductive reasoning and knowledge graph traversal
Profile →npx skills add a5c-ai/babysitter --skill hypothesis-generator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the hypothesis-generator skill do?
Automated hypothesis generation using abductive reasoning and knowledge graph traversal
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill hypothesis-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.