Identify business text domains with scoring and confidence outputs.
npx skills add https://github.com/kweaver-ai/kweaver-dip --skill bkn-domain
Please help me install this Agent Skill. Skill: bkn-domain Source: https://github.com/kweaver-ai/kweaver-dip/tree/main/skills/bkn-creator/internal/bkn-domain Command: npx skills add https://github.com/kweaver-ai/kweaver-dip --skill bkn-domain
Automates the task of identifying the functional domain from business text by applying a scoring model across predefined domains, enabling faster routing and domain-specific processing.
Provide the most likely domain for the input business text using the scoring rules.
High-intent search queries and answers about installing and using this skill.
To identify the business domain of unstructured text like emails or tickets, the Skill applies a scoring-based approach using weighted keyword signals across predefined domains to return a top match and confidence score.
Score-based domain recognition is a technique that evaluates business text against predefined domains using weighted signals to produce a normalized score, determining the most likely functional domain such as supply chain or CRM sales.
To classify product requirement documents into functional domains, provide the text to the scoring model which evaluates keyword signals and outputs the top domain, a normalized score, and evidence for downstream pipeline routing.
Yes, you can use confidence scores to route tickets to specific pipelines because the output includes a normalized top score and evidence suitable for determining high-confidence matches and directing downstream processing.
The text classification supports predefined domains such as supply_chain, crm_sales, and project_delivery, applying weighted scoring rules to determine the most likely domain match from the provided business text.
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