baoyu-image-gen

SKILL.md

Multi-provider AI image generation with text-to-image, reference images, batch processing, and quality presets.

Supports seven providers: OpenAI, Google, OpenRouter, DashScope, Jimeng, Seedream, and Replicate with automatic provider selection or explicit override

Handles single images via CLI flags or batch parallel generation from JSON files with configurable worker counts and per-provider throttling

Supports reference images (Google, OpenAI, OpenRouter, Replicate, Seedream), custom aspect ratios, quality presets (normal/2k), and free-form or fixed sizes depending on provider

Loads preferences from EXTEND.md (project or user home) for default provider, model, quality, and batch settings; requires first-time setup before any generation

Reads prompts from text arguments or markdown files; batch mode auto-retries up to 3 times per image and outputs success/failure summaries

Image Generation (AI SDK)

Official API-based image generation. Supports OpenAI, Azure OpenAI, Google, OpenRouter, DashScope (阿里通义万象), Z.AI GLM-Image, MiniMax, Jimeng (即梦), Seedream (豆包) and Replicate.

User Input Tools

When this skill prompts the user, follow this tool-selection rule (priority order):

Prefer built-in user-input tools exposed by the current agent runtime — e.g., AskUserQuestion, request_user_input, clarify, ask_user, or any equivalent.

Fallback: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.

Batching: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.

Concrete AskUserQuestion references below are examples — substitute the local equivalent in other runtimes.

Script Directory

{baseDir} = this SKILL.md's directory. Main script: {baseDir}/scripts/main.ts. Resolve ${BUN_X}: prefer bun; else npx -y bun; else suggest brew install oven-sh/bun/bun.