reducing-entropy

What problem does it solve?

This manual-only skill provides a framework to minimize the final codebase size by biasing toward deletion and simplification, enabling teams to counteract codebase growth.

Core Features & Use Cases

• Deletion Bias: Default action is to remove code rather than add new functionality.
• End-State Metric: Success is measured by the final code quantity, not the effort expended.
• Mindset-Driven: Requires loading one or more mindsets from references to guide decisions.
• Anti-Pattern Detection: Identifies common excuses for code growth and flags them.
• Use Case: When cleaning up legacy modules or evaluating feature reductions during refactors.

Quick Start

Load at least one mindset from references, then assess whether the end state reduces the total codebase.