file-categorization

File categorization analyzes filename patterns, YAML frontmatter, content structure, and keywords to automatically assign each file a type—Command, Agent, Skill, Documentation, or Other—with a confidence level, eliminating manual sorting and ensuring consistent organization across your repository.

Yes. File categorization validates that files are located in their correct categorical directories by comparing detected file types against actual locations, surfacing misplaced or miscategorized items and enforcing structural consistency.

After categorization, the skill provides type assignments and confidence scores that support automated routing pipelines, allowing files to be moved to appropriate directories, integrated into processing workflows, or flagged for review based on their detected category.

Yes. File categorization specifically analyzes Markdown files using YAML frontmatter detection alongside filename patterns and content structure analysis, making it well-suited for documentation, commands, agents, and skills written in Markdown format.

Filename patterns provide fast, rule-based classification; content analysis—including YAML frontmatter and keyword detection—offers deeper accuracy for ambiguous cases. File categorization combines both methods in a multi-phase approach to maximize precision and reduce false classifications.

Yes. File categorization applies filename pattern matching, YAML frontmatter analysis, content-structure detection, and keyword detection across diverse projects, supporting varied repository structures and file organizations while maintaining consistent categorization logic.