yuyou-dev

yuyou-dev / dreamina-cli-skill

Public

即梦CLI的AgentSkill

31
3
100% credibility
Found Apr 01, 2026 at 29 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A set of user-friendly wrappers that simplify using Dreamina's AI tools to generate images and videos from text or pictures, with previews, checks, and easy result retrieval.

How It Works

1
🎨 Discover Dreamina

You find a cool tool called Dreamina that turns words and pictures into amazing images and videos.

2
📥 Set up the tool

You easily download and install the Dreamina creator on your computer with one simple action.

3
🔐 Sign in

You log in through your web browser to connect your personal account and start creating.

4
💳 Check your balance

You peek at how much creating power you have left in your account to plan your fun projects.

5
🧪 Preview a creation

You test out making a picture from a description without using any of your balance to see how it works.

6
✨ Make it real

You give the go-ahead to create your image or video, and it starts working its magic right away.

🎉 Enjoy your artwork

Your new image or video is ready to download and share with friends and family.

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AI-Generated Review

What is dreamina-cli-skill?

This Python skill wraps the Dreamina CLI into a suite of agent-ready scripts for image and video generation tasks like text-to-image, image-to-video, and multi-frame videos. It solves the pain of raw CLI calls by adding path validation, dry-run previews, unified params, and stable JSON outputs—making Dreamina outputs predictable for workflows. Drop it into your agent registry, and it handles login, task polling, credit checks, and result queries out of the box.

Why is it gaining traction?

Unlike black-box plugins, these thin wrappers keep Dreamina's CLI power exposed while taming its quirks with JSON parsing and error normalization. Developers dig the `--dry-run` for safe testing high-cost gens and the OpenAI agent config for instant integration. It's the hook for anyone chaining Dreamina into Python automations without reinventing subprocess hell.

Who should use this?

AI agent builders scripting Dreamina for product shots or promo videos in LangChain or custom bots. Workflow devs automating image upscales or multimodal clips in CI/CD pipelines. Python scripters tired of parsing Dreamina's messy stdout in bash one-liners.

Verdict

Grab it if you're already on Dreamina and need agent glue—docs are crisp, examples run first try. With 18 stars and 1.0% credibility, it's raw early-stage; test in non-prod until adoption grows.

(187 words)

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