mediastormDev

mediastormDev / dream-to-video-skill

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AI agent skill that transforms dream descriptions into cinematic videos — auto-generates prompts, submits to Jimeng via browser automation, and downloads finished videos with post-processing effects.

35
4
89% credibility
Found Mar 24, 2026 at 35 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An open-source tool that lets AI agents convert dream descriptions into professional videos by automating an online generation service and adding visual effects.

How It Works

1
🛌 Dream up a story

You wake up from a vivid dream and want to turn it into a movie.

2
🤖 Tell your AI helper

Share the dream details with your friendly AI assistant that knows this magic trick.

3
📱 Quick one-time setup

Scan a simple QR code on your phone to connect everything securely.

4
🎬 AI crafts the scene

Your AI turns the dream words into a perfect movie description and starts creating it.

5
⏳ Watch it come alive

Check back anytime to see the progress until the video is ready.

✨ Enjoy your dream movie

Download the cinematic video plus a fancy shattered-glass edge version to relive the magic.

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Star Growth

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AI-Generated Review

What is dream-to-video-skill?

This Python tool acts as an AI agent skill, converting dream descriptions into cinematic videos via the Jimeng platform. Feed it text like "running barefoot amid sea lions on a coastal boardwalk," and it auto-generates optimized prompts using Claude, OpenAI, or Gemini, queues jobs, automates browser submission with Playwright, downloads results, and applies an elliptic shatter post-effect—outputting original and enhanced MP4s. Ideal for agent github claude or agent skills anthropic workflows.

Why is it gaining traction?

It eliminates manual Jimeng drudgery: CLI commands like `add`, `worker`, and `status` handle batch queues, retries for moderation fails, and progress tracking, while a FastAPI server adds SSE progress and task APIs. Stands out in agent skills github and agent skills examples for seamless text-to-video in agent github action pipelines, beating basic wrappers with reference image uploads and effects.

Who should use this?

AI agent builders integrating agent skills library or agent skills repo into Claude/VSCode setups for automated content gen. Content creators scripting agent github copilot reddit-style dream journals to video. Devs prototyping agent skills vs mcp or agent github microsoft flows needing quick video endpoints.

Verdict

Worth forking for agent skills io experiments—strong CLI, bilingual docs, MIT license—but 35 stars and 0.9% credibility score signal early-stage maturity; test login/queue stability first. Solid if Jimeng serves your region.

(187 words)

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