Individual skill
assemblyai-reference-architecture
Analyze and design an AssemblyAI architecture spanning pre-recorded jobs, Streaming v3, LLM Gateway, callbacks, queues, retention, and audit evidence. Use when performing system design or review. Trigger with "AssemblyAI architecture" or "design AssemblyAI pipeline".
skills/.curated/assemblyai-reference-architecture/SKILL.md
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- assemblyai Declared skill tag
- engineering Derived category
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SKILL.mdcore · 4,439 bytesreferences/official-docs.mddoc · 1,386 bytes
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# AssemblyAI Governed Reference Architecture
## Overview
Design explicit trust and lifecycle boundaries for ingestion, jobs, live turns, analysis, and deletion. Keep data, credentials, region, spend, and destructive state visible.
## Prerequisites
- The target repository or integration path and the requested operator outcome.
- The AssemblyAI project, environment, region, data classification, and accountable owner.
- Current first-party documentation plus credentials only for a narrowly approved live check.
## Current Contract
Pre-recorded jobs are asynchronous resources addressed by transcript ID. Streaming v3 is a stateful billed session requiring termination. LLM Gateway is a separate analysis plane replacing LeMUR. Callback payloads differ by family. Region, principal, credential, retention, and deletion remain visible on every edge.