Yali AI GPT-Image2 Inspiration: An Intelligent Assistant Skill for AI Image Generation

Yali AI GPT-Image2 Inspiration is an Agent skill specifically built for AI programming assistants like Codex and Claude Code. It integrates Yali AI's 10,000-level prompt inspiration library, offering capabilities such as GPT-image2 prompt generation, multilingual template matching, and PPT workflow routing. It solves the problem of users converting creative ideas into precise prompts, lowers the threshold for high-quality AI image creation, and realizes an end-to-end solution from inspiration acquisition to final output.

Yali AI is a platform focused on AI image generation, with over 10,000 prompt inspiration cases covering multiple fields such as photography, product display, and advertising design. The GPT-Image2 Inspiration skill deeply integrates these resources with AI programming tools, allowing users to call professional image generation capabilities in their familiar development environment. Its design philosophy is Agent-first: enabling AI assistants to understand user intentions and automatically complete the entire process from inspiration search to prompt generation and image output, without requiring users to learn a new interface.

包含五大核心能力：

1. Intelligent Inspiration Library Retrieval: Users describe their needs in natural language, and the skill automatically matches relevant case categories, style references, and template suggestions. No API key is required for use;
2. GPT-image2 Prompt Generation: Based on analysis of inspiration library cases and combined with user scenarios, it generates professional prompts with complete structure and rich details (covering multiple dimensions such as subject description and environment settings);
3. Template Matching and Size Recommendations: Automatically recommends suitable Yali templates and sizes based on user purposes (e.g., Xiaohongshu vertical version, PPT 16:9, etc.);
4. Multi-Path Image Generation: Supports three methods: Yali API path (requires key configuration), Codex native generation, and pure prompt output;
5. PPT Workflow Routing: When a PPT-related request is detected, it automatically generates slide plans, prompts, image suggestions, and HTML previews, and supports exporting to PPTX.

1. Multi-Platform Support: Compatible with Codex (installed via npx), Claude Code, OpenCode/Gemini, etc. It can also be cloned manually via Git;
2. Security Design: API keys are managed via environment variables. Users are guided to configure them in the shell or tool key storage to avoid writing them into code repositories;
3. Multilingual Support: The documentation is available in 12 languages (including Simplified Chinese, Japanese, Korean, Spanish, French, etc.), making it convenient for global developers to use.

适用于四大场景：

1. E-commerce Product Display: Generate commercial-grade materials such as product posters and detail page images;
2. Social Media Content: Generate covers and images that match the style of platforms like Xiaohongshu and Instagram;
3. UI/UX Design: Generate interface prototypes, app screenshots, and design concept diagrams;
4. Education and Presentation: Quickly create teaching slides via the PPT workflow.

Users can interact via natural language, such as "Search Yali inspiration for a high-end perfume poster and generate prompts", "Generate a Xiaohongshu cover for a skincare note", or "Create a 5-page tech-blue style AI product design PPT". Processing flow: Parse user intent → Search the inspiration library → Select category and template → Generate professional prompts → Choose generation path based on environment → Output results.

Yali AI GPT-Image2 Inspiration represents a new paradigm for AI tool integration—the Agent-first tool integration approach. It enables AI assistants to understand needs and automatically call professional services, providing creators with a complete solution from inspiration to finished product. As AI programming assistants become more popular, this approach may become an important trend in future software development and workflow automation.