Build and deploy Twilio Studio flows — visual IVR, SMS/WhatsApp, and conversation automation — by authoring the flow definition JSON and managing it through the Studio REST API. Covers the flow envelope, widgets, transitions, Liquid templating, the draft/published lifecycle, and when to use Studio vs. custom TwiML/code. Use this skill to create, validate, deploy, or update a Studio flow programmatically.
Planning skill for augmenting human agents with real-time AI intelligence. Qualifies the developer's use case across coaching, compliance, QA, and routing to recommend the right Conversation Intelligence + Conversation Memory + TaskRouter architecture. Handles both "I want to add AI coaching to my call center" and "configure Conversation Intelligence operators for script adherence."
Planning skill for AI-powered conversational agents. Qualifies the developer's use case across outcome sophistication, entry point, and customer profile to recommend the right Twilio Conversations architecture and implementation skills. Handles both high-level requests ("build me a voice AI assistant") and specific ones ("integrate ConversationRelay with my OpenAI backend").
Store and retrieve conversation context using Twilio Conversation Memory. Covers Memory Store provisioning, profile management, traits, observations, conversation summaries, and semantic Recall. Use this skill to give AI agents or human agents persistent memory of conversations across sessions and channels.
Configure automatic conversation capture and routing with Twilio Conversation Orchestrator. Covers Configuration creation, channel capture rules, grouping types, status timeouts, Memory Store linkage, Intelligence linkage, and conversation lifecycle. Use this skill to automatically capture SMS, voice, WhatsApp, RCS, and web chat traffic into unified conversations without manually creating conversations or participants.
Add knowledge retrieval (RAG) to AI agents using Twilio Enterprise Knowledge. Covers provisioning Knowledge Bases, uploading sources from web URLs, PDFs, and raw text, and running semantic search to retrieve relevant chunks at runtime. Use this skill to ground agent responses in your organization's actual approved content — FAQs, policies, product docs — rather than hallucinated answers.
Twilio Conversation Intelligence development guide. Use when building real-time or post-call conversation analysis, language operator pipelines, sentiment analysis, agent assist, cross-channel analytics, or querying aggregated conversation insights (sentiment trends, escalation rates, dashboards).