AssemblyAI を使用して音声コンテンツを要約します。
AssemblyAI LeMUR Summarizer は、AssemblyAI の LeMUR（Large Language Model for Audio Understanding）API を利用して音声コンテンツを要約するための AI エージェント用スキルです。このスキルは、まず `/v2/transcript` エンドポイントで音声をテキストに変換し、その後 `/lemur/v3/generate/summary` エンドポイントで文脈を考慮した要約を生成する、チェーン処理を自動化します。開発者はこのスキルを AI コーディングエージェント（Claude Code、Cursor、Codex など）に組み込むことで、会議の議事録、ポッドキャスト、インタビューなどの長時間音声データから重要なポイントを素早く抽出できます。AssemblyAI の公式ドキュメントに基づいており、Python SDK を利用して簡単に統合できます。Agent Skill Exchange から入手可能で、音声認識と要約機能をエージェントのワークフローに組み込むための実用的な出発点を提供します。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/assemblyai-lemur-summarizer-agentAssemblyAI の LeMUR（音声理解のための大規模言語モデル）API を使用して音声コンテンツを要約します。/v2/transcript エンドポイントと /lemur/v3/generate/summary エンドポイントをチェーンすることで、文脈に基づいた音声インテリジェンスを実現します。
上流からの要件と注意事項：
基本的な使用方法または入門メモ：
概要
AI コーディングエージェントでの構築
モデル
This repo contains 20 individual skills — each has its own dedicated page.
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Calls Adobe Firefly
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Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
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