agent-router

You can automate data engineering task routing by using file patterns, intent keywords, and domain context to match tasks to specialized agents. This Skill manages 58 agents across 8 categories to handle complex workflows.

Intent-based agent routing works by analyzing file patterns and intent keywords to dynamically match data pipeline tasks to the best specialist agent. It utilizes knowledge base domains and escalation rules to ensure accurate agent selection.

Yes, you need Python for agent execution and a Claude Code environment for task execution to run automated task routing. These dependencies are required to support the specialized agents and complex workflow management.

The best way to manage multi-agent escalation rules is to use dynamic task matching with knowledge base domains. This approach ensures the right agent is chosen for each data engineering task and handles escalations automatically.

Yes, you can route data quality analysis tasks to a specific domain expert agent. By loading the Skill and using commands with your intent, it automatically matches the request to the appropriate specialist based on domain context.

You should not use an automated agent router if your workflow lacks clear intent keywords or file patterns for task matching. Complex workflows requiring manual escalation overrides outside the supported 8 categories are also not ideal for this automated routing approach.