Summary

This Codex Skill addresses the need for unique visual illustrations for Chinese articles and project narratives. It targets content creators, AI workflow developers, and storytellers by transforming abstract concepts into relatable "scenes" featuring the "Xiaohei" IP, offering a distinct visual language beyond standard infographics.

How It Works

The core approach employs a Codex Skill to guide AI agents in generating "Xiaohei 2.0" illustrations. The formula "Xiaohei + real object + physical action + short Chinese label + blank space narrative" is central. Unlike 1.0's whiteboard style, 2.0 creates "real object scenes" in a studio aesthetic, suitable for expressing situations, emotions, and project stories. It offers two modes: standard 16:9 article images and super-wide long-scroll story images for narratives.

Quick Start & Requirements

• Installation: Clone the repository (git clone https://github.com/helloianneo/ian-xiaohei-scenes.git) and copy the ian-xiaohei-scenes subdirectory into your Codex skills directory (${CODEX_HOME:-$HOME/.codex}/skills/).
• Prerequisites: Requires a functional Codex environment.
• Usage: Specific commands are provided within Codex for planning illustration shot lists or directly generating standard 16:9 images and long-scroll story images.

Highlighted Details

• IP & Style: Leverages the "Xiaohei" IP to create "light, strange little scenes" with real objects and physical actions, emphasizing blank space for narrative impact.
• Content Focus: Tailored for Chinese content, aiming for immediate reader comprehension and relatability of abstract concepts like "worker situations" or "AI era anxiety."
• Modes: Supports standard 16:9 article illustrations and "Easter Egg" super-wide long-scroll story images for detailed narratives.

Maintenance & Community

• Author: Ian (伊恩), a Product Designer and AI Builder.
• Community: Active on X/Twitter (@ianneo_ai) and maintains a personal website (www.ianneo.xyz) detailing AI-driven personal production systems. Related projects include Ian Xiaohei Illustrations (1.0) and Ian Handdrawn PPT.

Licensing & Compatibility

• License: MIT License.
• Compatibility: The MIT license permits broad commercial use and integration into closed-source projects without significant restrictions.

Limitations & Caveats

This skill is not intended for commercial key visuals, brand posters, complex diagrams, UI mockups, or embedding extensive text. Users requiring editable vector files will not find them here. Post-generation checks are necessary due to potential AI image model artifacts like typos or style drift. The core action must be performed by Xiaohei; example images serve as style guides, not direct templates.