What problem does it solve?
Building skills-based routing, queue management, and agent assignment logic from scratch is error-prone and unnecessary. This Skill guides you through Twilio TaskRouter so incoming tasks (calls, support tickets, AI escalations) are matched to the best available worker without custom queuing code.
Core Features & Use Cases
- Workspace and Resource Setup: Create Workspaces, Activities, Workers, Task Queues, and Workflows via the Twilio SDK in Python or Node.js.
- Skills-Based and Priority Routing: Match tasks to workers using expressions like
skills HAS "billing", priority ordering, and timeout-based overflow between queues.
- AI Agent Escalation: Create TaskRouter tasks from AI escalation webhooks so human agents receive conversation summaries and customer profiles.
- Gotcha Prevention: Avoid silent failures such as hyphenated attribute names, HAS on non-array attributes, and reservation timeout cascades.
- Use Case: A support center receives a billing call; a Workflow filter routes it to the billing Task Queue, which matches an available Spanish-speaking agent, and the assignment callback dequeues the call to that agent's phone.
Quick Start
Ask the assistant to set up a Twilio TaskRouter workspace with billing and technical queues, a routing workflow, and an assignment callback endpoint.
