domain-keyword-detection

Document domain detection works by matching raw text against predefined keyword packs loaded from YAML configuration files. The detector scores keyword matches to identify relevant domains and route documents to domain-specific agents for targeted processing.

You configure custom domain keyword packs by creating YAML files in the domains/ directory. The skill loads these configurations via PyYAML, enabling you to define, validate, and customize domain-specific keywords for document routing.

Yes, domain keyword matching for document routing requires Python 3 and PyYAML. The skill loads domain configurations from YAML files, applies the detector to documents, and routes tasks to domain-specific agents based on matched keywords.

The best way to validate domain configurations is to use the skill's built-in validation command, which checks YAML keyword data integrity. This ensures domain packs in the domains/ directory are correctly structured before running document detection.

You list available document domains and their descriptions using the skill's list command. This provides a quick reference of all configured domain packs loaded from YAML files in the domains/ directory, showing available domains for detection.

Lightweight keyword detection is designed for routing documents to domain-specific agents. By matching text against domain keyword packs, the skill determines relevant domains and directs tasks to the appropriate agent for targeted processing.