利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.

🚀 AI 全自动短视频引擎 | AI Fully Automated Short Video Engine

Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.

Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.

Toonflow 是开源一站式 AI 短剧创作工具，将小说、剧本快速转化为动画短剧。集成 AI 编剧、智能分镜、角色与视频生成，跨平台桌面端轻量部署，助力创作者低成本批量产出视觉内容。Toonflow is an open-source AI tool that turns stories and scripts into animated short dramas. Features AI scriptwriting, storyboarding, character and video generation. A cross-platform desktop app for efficient content creation.

A collection of agent skills for AI short-drama production, covering character bibles, outlines, art bibles, scripts, and storyboards, designed for Claude Code and Codex.

A comprehensive resource for skills and tools tailored for AI coding agents.

AI 短剧/漫剧创作 skill 合集，覆盖剧本、资产、分镜、图片/视频提示词到独立审查全链路，适配 Claude Code 与 Codex。| An AI short-drama skill suite for Claude Code & Codex: scripts, assets, storyboards, image/video prompts, and independent review.

短剧平台 AI Short Film Motion Comic Generation Platform Industrial AI Motion Comic & Video Workbench

AWS Certified Cloud Practitioner Short Notes And Practice Exams (CLF-C02)

Turn project work into reusable knowledge — an AI-agent skill for Claude Code & Codex

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes