Individual skill
assemblyai-core-workflow-a
Analyze and operate a production AssemblyAI pre-recorded pipeline with explicit models, Speech Understanding, callbacks, and retention controls. Use when running asynchronous transcription. Trigger with "AssemblyAI async transcription" or "pre-recorded pipeline".
skills/.curated/assemblyai-core-workflow-a/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
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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
- writing Derived category
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SKILL.mdcore · 4,339 bytesreferences/official-docs.mddoc · 1,386 bytes
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# AssemblyAI Governed Pre-recorded Pipeline
## Overview
Operate pre-recorded transcription as an auditable asynchronous job. Keep live audio, credentials, spend, retention, and destructive state as separately governed boundaries.
## 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
Submit to `/v2/transcript` with explicit `speech_models`; complete by bounded polling or authenticated webhook, then retrieve by transcript ID. Verify every intelligence, redaction, language, and prompting parameter against the selected current model. Route new LLM analysis to LLM Gateway, not deprecated transcript summary parameters.