Skill Taxonomy Routerv1.5.0

A company deploying an AI assistant across departments needs to ensure appropriate skill selection for different user roles. The skill router classifies available skills by domain and risk level, preventing marketing staff from accidentally triggering financial trading skills while allowing developers to access coding tools. It maintains a persistent routing policy that adapts as new skills are downloaded.

A customer service platform uses the skill router to dynamically load skills based on support ticket content. For simple FAQ queries, it loads low-risk knowledge retrieval skills (R0-R1), while for account modification requests requiring external actions, it loads higher-risk skills (R2-R3) with proper safeguards. The layered taxonomy ensures the most specific skill handles each ticket type.

A smart home hub integrates the skill router to control IoT devices safely. When a user requests temperature adjustment, it routes to lifestyle device control (G2, R3) with physical world threat assessment. For media playback requests, it uses media device control (G1, R2). The risk model prevents unauthorized device manipulation by loading only necessary capabilities.

A fintech company implements the skill router to handle mixed financial queries. For budget analysis requests, it loads personal finance skills (I1, R2-R3), while blocking trading execution skills (I2, R4) unless explicitly authorized. The capability tags ensure read-only financial data skills are preferred over asset movement capabilities for most queries.

A coding assistant uses the skill router to select appropriate development skills. For code understanding tasks, it loads low-risk navigation skills (C2, R0-R1), while for browser automation requiring form submission, it loads higher-risk skills (C3, R3) with additional safeguards. The algorithm prefers specific coding skills over broad meta-skills to minimize context cost.

Sell the skill router as part of an enterprise AI platform subscription. Companies pay annual licenses based on number of users or skills managed. The value proposition is risk reduction and efficient skill orchestration across organizational departments.

Offer the skill routing capability as a cloud API service. Developers integrate it into their applications and pay per routing decision or monthly active users. This model scales with customer usage and supports diverse integration scenarios.

License the complete skill routing technology to other AI platform providers. They rebrand and integrate it into their own ecosystems. This includes customization services for specific domain taxonomies and risk models.