idumb-performance

What problem does it solve?

Performance inefficiencies in iDumb can lead to slower operations, bloated runtimes, and memory leaks during long-running governance tasks. This skill provides a structured approach to optimize file scanning, prevent resource buildup, and enforce robust cleanup and iteration controls.

Core Features & Use Cases

• Efficient Scanning: combine patterns and batch file operations to reduce CPU and I/O.
• Memory & Cleanup: prevent unbounded accumulation of validation records and residual artifacts.
• Iteration Control: enforce safe loop bounds and detect runaway processes in governance workflows.
• Use Case: In a large codebase with dozens of validation runs daily, apply this skill to keep scans fast, memory under control, and cleanups automatic.

Quick Start

Run the performance optimization workflow to initialize and enable monitoring for iDumb in your project.