podcast-generation Skill
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from Published by microsoft in skills.
What is podcast-generation Skill?
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from Published by microsoft in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Developers using skills
Technical details
- Install or run with Copy skill directory
When to use podcast-generation Skill
- Use it for developers using skills.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/skills
- Skill file: .github/skills/podcast-generation/SKILL.md
What it does
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from
Skill instructions
Podcast Generation with GPT Realtime Mini Generate real audio narratives from text content using Azure OpenAI's Realtime API. Quick Start 1. Configure environment variables for Realtime API 2. Connect via WebSocket to Azure OpenAI Realtime endpoint 3. Send text prompt, collect PCM audio chunks + transcript 4. Convert PCM to WAV format 5. Return base64-encoded audio to frontend for playback Environment Configuration env AZUREOPENAIAUDIOAPIKEY=yourrealtimeapikey AZUREOPENAIAUDIOENDPOINT=https://your-resource.cognitiveservices.azure.com AZUREOPENAIAUDIODEPLOYMENT=gpt-realtime-mini Note: Endpoint should NOT include /openai/v1/ - just the base URL. Core Workflow Backend Audio Generation python from openai import AsyncOpenAI import base64 Convert HTTPS endpoint to WebSocket URL wsurl = endpoint.replace("https://", "wss://") + "/openai/v1" client = AsyncOpenAI( websocketbaseurl=wsurl, apikey=apikey ) audiochunks = [] transcriptparts = [] async with client.realtime.connect(model="gpt-realtime-
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Frequently asked questions
What is podcast-generation?
podcast-generation is a open-source AI agent skill with Copy skill directory. Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket.
Who is podcast-generation best for?
podcast-generation is best for reusing agent instructions, scripts, and references.
How do I install podcast-generation?
Install or run podcast-generation using Copy skill directory. Check podcast-generation for the latest setup command.
Is podcast-generation actively maintained?
podcast-generation may need a closer maintenance check before production use.
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