gemma_noise_detector_prototype

What problem does it solve?

This Skill automatically identifies and labels files within a codebase as either "noise" (clutter, temporary, or redundant files) or "signal" (essential code, documentation, or configuration), enabling more efficient code management and cleanup.

Core Features & Use Cases

• Fast Binary Classification: Utilizes the Gemma model for rapid identification of noise vs. signal files based on defined rules.
• Rule-Based Detection: Employs checks for file extensions, age, naming conventions, and directory context to classify files.
• Critical Path Protection: Ensures essential files like source code, configuration, and documentation are always marked as signal.
• Use Case: Automatically scan a large repository to identify and flag temporary log files, old backups, and cache directories for deletion, freeing up disk space and reducing clutter.

Quick Start

Use the gemma_noise_detector_prototype skill to classify the file at '/path/to/your/file.log'.