curiosity-learning-curvelisted
Install: claude install-skill deciqAI/knowledge-skills
# Curiosity Learning Curve
## Overview
Biological learning capacity remains measurable into the 70s and 80s. The bottleneck is not biology — it is curiosity. When curiosity drops to near zero in a domain, the cascade is predictable: curiosity lost → learning capacity lost. The framework maps three curves against age: biological age (linear), curiosity (peaks in childhood, declines with neglect), and learning capacity (follows curiosity, not biology). Curiosity is the leading indicator and the intervention point.
Loewenstein's information-gap theory: curiosity is not a trait — it is a perception of a gap. Closing perceived gaps through mastery without opening new ones is the structural cause of curiosity death in expert practitioners.
Pairs with [metacognition] (observe your own curiosity state early). Use BEFORE [deep-work] (deep work in a curiosity-dead domain produces treadmill output, not growth). Complements [lifestage-value-curve] (curiosity maintenance is the mechanism for Silver/Bronze Age productivity).
## When to Use
- A domain expert's knowledge has visibly stopped updating despite continued work
- A person reports going through professional motions without genuine engagement
- Output novelty (new insights, questions, solutions) has declined while quality is maintained
- A person has not been surprised by anything in their domain for 6+ months
- A senior practitioner is struggling with relevance as the domain changes around static expertise
**When NOT to use: