What problem does it solve? Server-side developers integrating ByteDance's veImageX image platform often struggle to navigate its large API surface, choose between sync/async processing modes, and handle platform-specific error codes correctly. ## Core Features & Use Cases - Image Resource Management: Upload, query, delete, update, prefetch, and refresh cached images via APIs like ApplyImageUpload, CommitImageUpload, and UpdateImageUploadFiles. - AI Image Processing: Create synchronous (AIProcess) or asynchronous (CreateImageAITask) AI tasks for OCR, super-resolution, watermark erasure, and quality evaluation. - Error Handling Guidance: Map veImageX error codes (5000-series decoding errors, 600xxx add-on errors) to concrete remediation steps. - Use Case: A backend engineer needs to batch-process user-uploaded images with super-resolution. The Skill guides them to submit a CreateImageAITask with a workflow template, poll GetImageAITasks for status, and handle rate limits of 1 request/second. ## Quick Start Ask the AI how to upload an image to veImageX and run an async AI processing task using the Golang server SDK.