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Build a repeatable text-to-audio workflow around Azure OpenAI Realtime streaming, PCM collection, WAV conversion, and frontend playback for podcast-style output.
--- name: generate-podcast-style-audio-narratives-with-podcast-generation slug: "generate-podcast-style-audio-narratives-with-podcast-generation" description: "Build a repeatable text-to-audio workflow around Azure OpenAI Realtime streaming, PCM collection, WAV conversion, and frontend playback for podcast-style output." verification: "security_reviewed" source: "https://github.com/microsoft/skills/tree/main/.github/skills/podcast-generation" author: "Microsoft" publisher_type: "organization" category: "Media & Transcription" framework: "Multi-Framework" --- # Generate podcast-style audio narratives with Podcast Generation Build a repeatable text-to-audio workflow around Azure OpenAI Realtime streaming, PCM collection, WAV conversion, and frontend playback for podcast-style output. ## Prerequisites Azure OpenAI Realtime API access, WebSocket-capable backend, PCM to WAV conversion, frontend audio playback layer ## Installation Use the upstream install or setup path that matches your environment: - npx skills add microsoft/skills - git clone https://github.com/microsoft/skills.git - pnpm install - pnpm harness --list Requirements and caveats from upstream: - | [Python](#python) | 39 | -py | - ├── plugins/ # Language-based plugin bundles (azure-sdk-python, etc.) - ├── python/ # -> ../.github/skills/*-py Basic usage or getting-started notes: - bash - Select the skills you need from the wizard. Skills are installed to your chosen agent's directory (e.g., .github/skills/ for GitHub Copilot) and symlinked if you use multiple agents. - <details> - Source: https://github.com/microsoft/skills/tree/main/.github/skills/podcast-generation - Extracted from upstream docs: https://raw.githubusercontent.com/microsoft/skills/HEAD/README.md ## Documentation - https://microsoft.github.io/skills/ ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/generate-podcast-style-audio-narratives-with-podcast-generation/)--- name: generate-podcast-style-audio-narratives-with-podcast-generation slug: "generate-podcast-style-audio-narratives-with-podcast-generation" description: "Build a repeatable text-to-audio workflow around Azure OpenAI Realtime streaming, PCM collection, WAV conversion, and frontend playback for podcast-style output." verification: "security_reviewed" source: "https://github.com/microsoft/skills/tree/main/.github/skills/podcast-generation" author: "Microsoft" publisher_type: "organization" category: "Media & Transcription" framework: "Multi-Framework" --- # Generate podcast-style audio narratives with Podcast Generation Build a repeatable text-to-audio workflow around Azure OpenAI Realtime streaming, PCM collection, WAV conversion, and frontend playback for podcast-style output. ## Prerequisites Azure OpenAI Realtime API access, WebSocket-capable backend, PCM to WAV conversion, frontend audio playback layer ## Installation Use the upstream install or setup path that matches your environment: - npx skills add microsoft/skills - git clone https://github.com/microsoft/skills.git - pnpm install - pnpm harness --list Requirements and caveats from upstream: - | [Python](#python) | 39 | -py | - ├── plugins/ # Language-based plugin bundles (azure-sdk-python, etc.) - ├── python/ # -> ../.github/skills/*-py Basic usage or getting-started notes: - bash - Select the skills you need from the wizard. Skills are installed to your chosen agent's directory (e.g., .github/skills/ for GitHub Copilot) and symlinked if you use multiple agents. - <details> - Source: https://github.com/microsoft/skills/tree/main/.github/skills/podcast-generation - Extracted from upstream docs: https://raw.githubusercontent.com/microsoft/skills/HEAD/README.md ## Documentation - https://microsoft.github.io/skills/ ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/generate-podcast-style-audio-narratives-with-podcast-generation/)
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.