Route AI model requests by intent, complexity, and cost across providers.
npx skills add https://github.com/ollieb89/openrepo --skill smart-router-ollieb89
Please help me install this Agent Skill. Skill: smart-router Source: https://github.com/ollieb89/openrepo/tree/main/skills/multi-agent/smart-router Command: npx skills add https://github.com/ollieb89/openrepo --skill smart-router-ollieb89
This Skill intelligently routes user requests to the most appropriate AI model based on intent, complexity, and cost, ensuring optimal performance and efficiency.
Ask your question naturally, and the router will select the best AI model for the job.
High-intent search queries and answers about installing and using this skill.
AI model routing selects the best LLM by scoring expertise across Claude, GPT, Gemini, and Grok. It matches complex coding questions to powerful models like Opus, and simple factual queries to cost-effective alternatives like Gemini Flash.
Context overflow protection automatically detects long inputs and switches the request to models with larger context windows. This prevents truncation errors and ensures full document processing across different AI providers.
Multi-agent LLM orchestration supports fallback chains to manage failed requests. If a primary model is unavailable, the router automatically redirects the request to another configured AI provider to maintain workflow continuity.
AI routing supports secure prompt engineering by applying security redaction to sanitize sensitive data before forwarding requests to external AI models. This protects confidential information when processing inputs through Claude, GPT, or Gemini.
Intent-based routing is the best way to manage model selection for real-time data analysis. The system evaluates query intent and automatically selects an AI model optimized for real-time retrieval and complex analytical tasks.
kevinnftDetect model family and execute multi-strategy jailbreak pipelines across LLMs.
Manvendra08Reduce token consumption and context overflow in LLM interactions.
Nuwanda04Analyze prompts, evaluate RAG systems, and design agentic workflows.
zero3041Implement cost optimization strategies for LLM API usage.
