curiosity-learning-curve

Installation
SKILL.md

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
Installs
2
GitHub Stars
10
First Seen
Jul 9, 2026
curiosity-learning-curve — deciqai/knowledge-skills