twilio-agent-augmentation-architect
OfficialPlan real-time AI coaching for smarter agents.
Software Engineering#planning#architecture#memory#ai-augmentation#contact-center#conversation-intelligence#taskrouter
Authortwilio
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps engineering teams design a structured, end-to-end plan for augmenting human agents with real-time AI intelligence in contact centers, clarifying when to use coaching, compliance monitoring, memory, and routing architectures to maximize agent effectiveness.
Core Features & Use Cases
- Provides a step-by-step framework (Discovery, Validation, Build) to qualify requirements for AI-assisted agent augmentation.
- Outlines the five essential capability levels (Listen, Coach, Context, Route) and the recommended Twilio Skills (Conversation Intelligence, Conversation Memory, Orchestrator, and TaskRouter) to implement them.
- Guides architects through context-setting, guardrails, and decision rules to deliver scalable, compliant agent augmentation across coaching, QA, and routing workflows.
Quick Start
Outline an end-to-end AI augmentation plan for a contact center using Conversation Intelligence, Memory, and TaskRouter.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: twilio-agent-augmentation-architect Download link: https://github.com/twilio/ai/archive/main.zip#twilio-agent-augmentation-architect Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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