Build schemas about how your schemas work.
You can build models of how your models work — this is the beginning of recursive self-improvement.
How do you typically form new mental models? Understanding your process lets you improve it.
Define what makes a schema good — accuracy predictive power simplicity scope.
List your most important schemas so you can maintain and improve them systematically.
Some schemas depend on others — map these dependencies to understand cascading effects.
When two schemas contradict you need a meta-schema for deciding which to trust.
You need rules for choosing which schema to apply in a given situation.
Your schema for how learning works determines how effectively you learn.
Your model of how change happens determines how you approach change.
Your default assumptions about human nature shape every interaction.
Your self-model is the most consequential schema you maintain.
How you model time determines how you plan and prioritize.
Your risk model determines what you attempt and what you avoid.
Your epistemology — your theory of knowledge — is the meta-schema that governs all others.
Not all sources of schemas are equally reliable — evaluate where your models come from.
You can build schemas at different levels of abstraction each serving different purposes.
Meta-schemas are themselves schemas that can be inspected and improved.
There are limits to how much you can observe your own thinking — know these limits.
Your meta-schemas form the operating system that runs all your other cognitive software.
Improving your meta-schemas improves everything built on top of them.