router-engineering

Router-engineering orchestrates technical questions across 30+ engineering skills, automatically directing problems like API design, LLM fine-tuning, backend patterns, and RAG system development to the appropriate specialized skill based on problem type and requirements.

Yes. Router-engineering handles AI agent construction by routing through ai-agents and MCP orchestration skills, coordinating decision-tree logic and modular skill invocation for agent design and deployment.

Router-engineering routes across backend development, API design, LLM inference optimization, data science workflows, time-series forecasting, MLOps, prompt engineering, security audits, and Claude Code tooling integration in structured decision-tree workflows.

The skill applies routing logic with MCP integration, guardrails, and Claude Code workflow compatibility, enabling modular skill invocation and structured problem resolution within existing development tool ecosystems.

No. Router-engineering's orchestration layer abstracts individual skill complexity by automatically matching your technical problem to the relevant 30+ skills, handling skill selection and sequencing internally.

The router applies decision-tree orchestration and modular invocation logic to route problems intelligently across the skill set, reducing manual skill selection and enabling integrated workflows versus isolated skill calls.