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Podcast Generation with Microsoft Foundry

3.4K downloads 3 stars Version 0.1.0 Rank #2561 of 10,000+

What this skill 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 React frontend to Python FastAPI backend with WebSocket streaming.

Podcast Generation with Microsoft Foundry is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.

Podcast Generation with Microsoft Foundry is ranked #2561 by downloads in the OpenClaw skill catalog (3.4K total downloads, 3 stars). It belongs to the Developer Tools category alongside 3305 other top-10000 skills.

How to install Podcast Generation with Microsoft Foundry

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for podcast-generation and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add Podcast Generation with Microsoft Foundry with a single command:

openclaw skills add podcast-generation

This pulls podcast-generation from ClawHub and installs it into ~/.openclaw/skills/podcast-generation/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use Podcast Generation with Microsoft Foundry

Once installed, Podcast Generation with Microsoft Foundry activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Putting audio in front of an audience

Podcast Generation with Microsoft Foundry works with audio. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — pairs audio with footage or generated visuals, burns synced captions, and exports a finished short.

It runs as an MCP server, so an OpenClaw agent can drive it from the same chat you already use: ask for a short, and the render comes back finished. See how to connect a video pipeline to your agent.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download .zip button above to grab podcast-generation-0.1.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/podcast-generation/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Podcast Generation with Microsoft Foundry?

Install Podcast Generation with Microsoft Foundry in the OpenClaw Easy desktop app by opening the Skills panel, searching for podcast-generation, and clicking Install. From a terminal you can run: openclaw skills add podcast-generation. Either way the skill is placed in ~/.openclaw/skills/podcast-generation/.

Is Podcast Generation with Microsoft Foundry free?

Yes. Podcast Generation with Microsoft Foundry is free and open-source, distributed under the Apache-2.0 license through ClawHub. No account or payment is required to download or run it.

What does Podcast Generation with Microsoft Foundry do?

Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket.

Related: more developer tools skills

If Podcast Generation with Microsoft Foundry looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:

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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models