classifier

Code classification organizes source files into predefined categories by analyzing their content, purpose, or patterns. This Skill applies classification across codebases to sort files by type, functionality, or domain, enabling faster navigation during project onboarding and codebase organization.

Multi-label classification assigns multiple categories to a single document or data item when it matches several patterns or topics. This Skill supports multi-label outputs so items fitting multiple categories are tagged appropriately rather than forced into a single bucket.

Pattern-based classification organizes data and documents by analyzing content against predefined categories, enabling efficient retrieval and governance. This Skill applies across datasets and documentation repositories to group items by type, topic, or purpose without manual tagging.

Classification validation and accuracy tracking measure how consistently items are categorized and identify misclassifications. This Skill includes validation mechanisms and accuracy monitoring to ensure reliable organization and quality assurance in ongoing data management.

Streaming support enables classification of continuous data flows and large-scale datasets without requiring batch processing. This Skill handles streaming inputs to classify items as they arrive, supporting real-time data organization and cataloging workflows.

Graceful error handling manages edge cases where data doesn't fit predefined categories cleanly. This Skill includes error handling and fallback mechanisms to process ambiguous or non-standard items without interrupting the full classification workflow.