one2x-ai

one2x-ai / medeo-video-skill

Public

🎬 AI-powered video generation skill for OpenClaw — create videos from text prompts using Medeo platform

73
22
100% credibility
Found Mar 12, 2026 at 22 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An OpenClaw skill that lets AI assistants generate AI-powered videos from text prompts or images using the Medeo platform and deliver them directly to chat apps like Feishu.

How It Works

1
🔍 Discover the skill

You hear about a fun way to make videos just by chatting with your AI helper.

2
📥 Add it to your AI

Tell your AI to install the video skill, and it adds it with one simple command.

3
🔗 Connect your video service

Visit a quick webpage to sign up if needed, grab a special code, and share it with your AI – setup done forever.

4
🎥 Describe your video

Chat with your AI like 'Make a cozy video about coffee brewing' or add a photo for a custom touch.

5
⏳ Wait for magic

Your AI works quietly in the background, creating your video in just a few minutes.

✅ Enjoy your video

The finished video arrives right in your chat, perfect for sharing on social media or watching anytime.

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AI-Generated Review

What is medeo-video-skill?

Medeo-video-skill is a Python skill for OpenClaw that lets AI-powered chatbots generate videos from text prompts via the Medeo platform. Say "create a 30-second promo for running shoes" in Feishu, Telegram, or Discord, and your assistant uploads assets, composes, renders, and delivers the result directly to chat—typically in 5-15 minutes. It handles text-only, image+text inputs, vertical 9:16 formats for Reels, and job status checks like "is my video done?"

Why is it gaining traction?

It embeds AI-powered video generation into existing chatbot workflows without leaving the conversation, unlike clunky web UIs or separate apps. One-time API key setup, cross-platform delivery, and commands for recipes, history, and retries make it dead simple for AI-powered GitHub projects. Developers hook it via sessions_spawn for non-blocking async jobs, turning any OpenClaw bot into a video factory.

Who should use this?

OpenClaw builders adding media to AI-powered chatbots, like customer support bots generating product demos. Content teams prototyping TikTok shorts or explainers from prompts. Indie devs showcasing AI-powered video features in prototypes for job portals, LMS, or personal finance apps.

Verdict

Grab it if you're on OpenClaw—excellent README and CLI make setup trivial, but 17 stars and 1.0% credibility score mean it's raw; test thoroughly before production. Solid for early AI-powered video experiments on GitHub.

(198 words)

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