Route AI agent tasks via vector-based semantic intent matching.
npx skills add https://github.com/ricable/cli-skills-builder --skill ruvector-router
Please help me install this Agent Skill. Skill: @ruvector/router Source: https://github.com/ricable/cli-skills-builder/tree/main/.claude/skills/ruvector-router Command: npx skills add https://github.com/ricable/cli-skills-builder --skill ruvector-router
This Skill provides a highly efficient way to route user intents or task descriptions to the correct AI agent or function based on semantic understanding, rather than rigid keyword matching.
Use the ruvector-router skill to add a route for greetings with the phrases 'hello' and 'hi'.
High-intent search queries and answers about installing and using this skill.
Semantic routing directs user intents to AI agents using vector-based intent matching. It compares the meaning of user input against predefined routes with HNSW and SIMD acceleration, enabling sub-millisecond routing decisions without rigid keyword matching.
You can route requests by adding predefined routes with example phrases for each intent. Semantic routing matches incoming user input to these routes based on semantic similarity and directs the task to the appropriate AI agent handler.
Yes, semantic routing supports custom embedding models. You can configure embedding generation to match your specific domain vocabulary and set configurable thresholds to ensure precise route matching for your AI agent tasks.
Semantic routing decisions are highly performant, utilizing HNSW and SIMD acceleration to achieve sub-millisecond routing speeds. This allows real-time utterance classification and immediate AI agent task dispatch without noticeable latency.
Semantic routing is the best approach, using vector-based intent matching to understand user meaning rather than relying on exact keywords. It classifies utterances by comparing semantic similarity to predefined routes.
Semantic routing supports configurable thresholds for precise route matching. You can adjust these threshold values to control the sensitivity of vector-based intent matching, ensuring routes trigger only when semantic similarity meets your desired confidence level.
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