chore: release v1.85.0

.claude-plugin/marketplace.json

@@ -6,7 +6,7 @@
   },
   "metadata": {
     "description": "Skills shared by Baoyu for improving daily work efficiency",
-    "version": "1.83.0"
+    "version": "1.85.0"
   },
   "plugins": [
     {
@@ -23,6 +23,7 @@
         "./skills/baoyu-danger-x-to-markdown",
         "./skills/baoyu-format-markdown",
         "./skills/baoyu-image-gen",
+        "./skills/baoyu-imagine",
         "./skills/baoyu-infographic",
         "./skills/baoyu-markdown-to-html",
         "./skills/baoyu-post-to-weibo",

CHANGELOG.md

@@ -2,6 +2,17 @@
 
 English | [中文](./CHANGELOG.zh.md)
 
+## 1.85.0 - 2026-03-25
+
+### Features
+- `baoyu-imagine`: auto-migrate legacy `baoyu-image-gen` EXTEND.md config path at runtime
+- Add `baoyu-image-gen` deprecation redirect skill to guide users to install `baoyu-imagine` and remove the old skill
+
+## 1.84.0 - 2026-03-25
+
+### Features
+- Rename `baoyu-image-gen` skill to `baoyu-imagine` — shorter command name, all references updated across docs, configs, and dependent skills
+
 ## 1.83.0 - 2026-03-25
 
 ### Features

CHANGELOG.zh.md

@@ -2,6 +2,17 @@
 
 [English](./CHANGELOG.md) | 中文
 
+## 1.85.0 - 2026-03-25
+
+### 新功能
+- `baoyu-imagine`：运行时自动迁移旧版 `baoyu-image-gen` 的 EXTEND.md 配置路径
+- 新增 `baoyu-image-gen` 废弃重定向技能，引导用户安装 `baoyu-imagine` 并移除旧技能
+
+## 1.84.0 - 2026-03-25
+
+### 新功能
+- 将 `baoyu-image-gen` 技能重命名为 `baoyu-imagine` — 更简短的命令名，所有文档、配置和依赖技能中的引用已同步更新
+
 ## 1.83.0 - 2026-03-25
 
 ### 新功能

CLAUDE.md

@@ -1,6 +1,6 @@
 # CLAUDE.md
 
-Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.83.0**.
+Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.84.0**.
 
 ## Architecture
 
@@ -31,7 +31,7 @@ Execute: `${BUN_X} skills/<skill>/scripts/main.ts [options]`
 
 - **Bun**: TypeScript runtime (`bun` preferred, fallback `npx -y bun`)
 - **Chrome**: Required for CDP-based skills (gemini-web, post-to-x/wechat/weibo, url-to-markdown). All CDP skills share a single profile, override via `BAOYU_CHROME_PROFILE_DIR` env var. Platform paths: [docs/chrome-profile.md](docs/chrome-profile.md)
-- **Image generation APIs**: `baoyu-image-gen` requires API key (OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, or Replicate) configured in EXTEND.md
+- **Image generation APIs**: `baoyu-imagine` requires API key (OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, or Replicate) configured in EXTEND.md
 - **Gemini Web auth**: Browser cookies (first run opens Chrome for login, `--login` to refresh)
 
 ## Security
@@ -46,7 +46,7 @@ Execute: `${BUN_X} skills/<skill>/scripts/main.ts [options]`
 | Rule | Description |
 |------|-------------|
 | **Load project skills first** | Project skills override system/user-level skills with same name |
-| **Default image generation** | Use `skills/baoyu-image-gen/SKILL.md` unless user specifies otherwise |
+| **Default image generation** | Use `skills/baoyu-imagine/SKILL.md` unless user specifies otherwise |
 
 Priority: project `skills/` → `$HOME/.baoyu-skills/` → system-level.
 

README.md

@@ -32,7 +32,7 @@ This repository now supports publishing each `skills/baoyu-*` directory as an in
 ClawHub installs skills individually, not as one marketplace bundle. After publishing, users can install specific skills such as:
 
 ```bash
-clawhub install baoyu-image-gen
+clawhub install baoyu-imagine
 clawhub install baoyu-markdown-to-html
 ```
 
@@ -661,58 +661,58 @@ Post content to Weibo (微博). Supports regular posts with text, images, and vi
 
 AI-powered generation backends.
 
-#### baoyu-image-gen
+#### baoyu-imagine
 
 AI SDK-based image generation using OpenAI, Azure OpenAI, Google, OpenRouter, DashScope (Aliyun Tongyi Wanxiang), MiniMax, Jimeng (即梦), Seedream (豆包), and Replicate APIs. Supports text-to-image, reference images, aspect ratios, custom sizes, batch generation, and quality presets.
 
 ```bash
 # Basic generation (auto-detect provider)
-/baoyu-image-gen --prompt "A cute cat" --image cat.png
+/baoyu-imagine --prompt "A cute cat" --image cat.png
 
 # With aspect ratio
-/baoyu-image-gen --prompt "A landscape" --image landscape.png --ar 16:9
+/baoyu-imagine --prompt "A landscape" --image landscape.png --ar 16:9
 
 # High quality (2k)
-/baoyu-image-gen --prompt "A banner" --image banner.png --quality 2k
+/baoyu-imagine --prompt "A banner" --image banner.png --quality 2k
 
 # Specific provider
-/baoyu-image-gen --prompt "A cat" --image cat.png --provider openai
+/baoyu-imagine --prompt "A cat" --image cat.png --provider openai
 
 # Azure OpenAI (model = deployment name)
-/baoyu-image-gen --prompt "A cat" --image cat.png --provider azure --model gpt-image-1.5
+/baoyu-imagine --prompt "A cat" --image cat.png --provider azure --model gpt-image-1.5
 
 # OpenRouter
-/baoyu-image-gen --prompt "A cat" --image cat.png --provider openrouter
+/baoyu-imagine --prompt "A cat" --image cat.png --provider openrouter
 
 # OpenRouter with reference images
-/baoyu-image-gen --prompt "Make it blue" --image out.png --provider openrouter --model google/gemini-3.1-flash-image-preview --ref source.png
+/baoyu-imagine --prompt "Make it blue" --image out.png --provider openrouter --model google/gemini-3.1-flash-image-preview --ref source.png
 
 # DashScope (Aliyun Tongyi Wanxiang)
-/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider dashscope
+/baoyu-imagine --prompt "一只可爱的猫" --image cat.png --provider dashscope
 
 # DashScope with custom size
-/baoyu-image-gen --prompt "为咖啡品牌设计一张 21:9 横幅海报，包含清晰中文标题" --image banner.png --provider dashscope --model qwen-image-2.0-pro --size 2048x872
+/baoyu-imagine --prompt "为咖啡品牌设计一张 21:9 横幅海报，包含清晰中文标题" --image banner.png --provider dashscope --model qwen-image-2.0-pro --size 2048x872
 
 # MiniMax
-/baoyu-image-gen --prompt "A fashion editorial portrait by a bright studio window" --image out.jpg --provider minimax
+/baoyu-imagine --prompt "A fashion editorial portrait by a bright studio window" --image out.jpg --provider minimax
 
 # MiniMax with subject reference
-/baoyu-image-gen --prompt "A girl stands by the library window, cinematic lighting" --image out.jpg --provider minimax --model image-01 --ref portrait.png --ar 16:9
+/baoyu-imagine --prompt "A girl stands by the library window, cinematic lighting" --image out.jpg --provider minimax --model image-01 --ref portrait.png --ar 16:9
 
 # Replicate
-/baoyu-image-gen --prompt "A cat" --image cat.png --provider replicate
+/baoyu-imagine --prompt "A cat" --image cat.png --provider replicate
 
 # Jimeng (即梦)
-/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider jimeng
+/baoyu-imagine --prompt "一只可爱的猫" --image cat.png --provider jimeng
 
 # Seedream (豆包)
-/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider seedream
+/baoyu-imagine --prompt "一只可爱的猫" --image cat.png --provider seedream
 
 # With reference images (Google, OpenAI, Azure OpenAI, OpenRouter, Replicate, MiniMax, or Seedream 5.0/4.5/4.0)
-/baoyu-image-gen --prompt "Make it blue" --image out.png --ref source.png
+/baoyu-imagine --prompt "Make it blue" --image out.png --ref source.png
 
 # Batch mode
-/baoyu-image-gen --batchfile batch.json --jobs 4 --json
+/baoyu-imagine --batchfile batch.json --jobs 4 --json
 ```
 
 **Options**:
@@ -1045,7 +1045,7 @@ Custom style descriptions are also accepted, e.g., `--style "poetic and lyrical"
 Some skills require API keys or custom configuration. Environment variables can be set in `.env` files:
 
 **Load Priority** (higher priority overrides lower):
-1. CLI environment variables (e.g., `OPENAI_API_KEY=xxx /baoyu-image-gen ...`)
+1. CLI environment variables (e.g., `OPENAI_API_KEY=xxx /baoyu-imagine ...`)
 2. `process.env` (system environment)
 3. `<cwd>/.baoyu-skills/.env` (project-level)
 4. `~/.baoyu-skills/.env` (user-level)

README.zh.md

@@ -32,7 +32,7 @@ npx skills add jimliu/baoyu-skills
 ClawHub 按“单个 skill”安装，不是把整个 marketplace 一次性装进去。发布后，用户可以按需安装：
 
 ```bash
-clawhub install baoyu-image-gen
+clawhub install baoyu-imagine
 clawhub install baoyu-markdown-to-html
 ```
 
@@ -661,58 +661,58 @@ accounts:
 
 AI 驱动的生成后端。
 
-#### baoyu-image-gen
+#### baoyu-imagine
 
 基于 AI SDK 的图像生成，支持 OpenAI、Azure OpenAI、Google、OpenRouter、DashScope（阿里通义万相）、MiniMax、即梦（Jimeng）、豆包（Seedream）和 Replicate API。支持文生图、参考图、宽高比、自定义尺寸、批量生成和质量预设。
 
 ```bash
 # 基础生成（自动检测服务商）
-/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png
+/baoyu-imagine --prompt "一只可爱的猫" --image cat.png
 
 # 指定宽高比
-/baoyu-image-gen --prompt "风景图" --image landscape.png --ar 16:9
+/baoyu-imagine --prompt "风景图" --image landscape.png --ar 16:9
 
 # 高质量（2k 分辨率）
-/baoyu-image-gen --prompt "横幅图" --image banner.png --quality 2k
+/baoyu-imagine --prompt "横幅图" --image banner.png --quality 2k
 
 # 指定服务商
-/baoyu-image-gen --prompt "一只猫" --image cat.png --provider openai
+/baoyu-imagine --prompt "一只猫" --image cat.png --provider openai
 
 # Azure OpenAI（model 为部署名称）
-/baoyu-image-gen --prompt "一只猫" --image cat.png --provider azure --model gpt-image-1.5
+/baoyu-imagine --prompt "一只猫" --image cat.png --provider azure --model gpt-image-1.5
 
 # OpenRouter
-/baoyu-image-gen --prompt "一只猫" --image cat.png --provider openrouter
+/baoyu-imagine --prompt "一只猫" --image cat.png --provider openrouter
 
 # OpenRouter + 参考图
-/baoyu-image-gen --prompt "把它变成蓝色" --image out.png --provider openrouter --model google/gemini-3.1-flash-image-preview --ref source.png
+/baoyu-imagine --prompt "把它变成蓝色" --image out.png --provider openrouter --model google/gemini-3.1-flash-image-preview --ref source.png
 
 # DashScope（阿里通义万相）
-/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider dashscope
+/baoyu-imagine --prompt "一只可爱的猫" --image cat.png --provider dashscope
 
 # DashScope 自定义尺寸
-/baoyu-image-gen --prompt "为咖啡品牌设计一张 21:9 横幅海报，包含清晰中文标题" --image banner.png --provider dashscope --model qwen-image-2.0-pro --size 2048x872
+/baoyu-imagine --prompt "为咖啡品牌设计一张 21:9 横幅海报，包含清晰中文标题" --image banner.png --provider dashscope --model qwen-image-2.0-pro --size 2048x872
 
 # MiniMax
-/baoyu-image-gen --prompt "A fashion editorial portrait by a bright studio window" --image out.jpg --provider minimax
+/baoyu-imagine --prompt "A fashion editorial portrait by a bright studio window" --image out.jpg --provider minimax
 
 # MiniMax + 角色参考图
-/baoyu-image-gen --prompt "A girl stands by the library window, cinematic lighting" --image out.jpg --provider minimax --model image-01 --ref portrait.png --ar 16:9
+/baoyu-imagine --prompt "A girl stands by the library window, cinematic lighting" --image out.jpg --provider minimax --model image-01 --ref portrait.png --ar 16:9
 
 # Replicate
-/baoyu-image-gen --prompt "一只猫" --image cat.png --provider replicate
+/baoyu-imagine --prompt "一只猫" --image cat.png --provider replicate
 
 # 即梦（Jimeng）
-/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider jimeng
+/baoyu-imagine --prompt "一只可爱的猫" --image cat.png --provider jimeng
 
 # 豆包（Seedream）
-/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider seedream
+/baoyu-imagine --prompt "一只可爱的猫" --image cat.png --provider seedream
 
 # 带参考图（Google、OpenAI、Azure OpenAI、OpenRouter、Replicate、MiniMax 或 Seedream 5.0/4.5/4.0）
-/baoyu-image-gen --prompt "把它变成蓝色" --image out.png --ref source.png
+/baoyu-imagine --prompt "把它变成蓝色" --image out.png --ref source.png
 
 # 批量模式
-/baoyu-image-gen --batchfile batch.json --jobs 4 --json
+/baoyu-imagine --batchfile batch.json --jobs 4 --json
 ```
 
 **选项**：
@@ -1045,7 +1045,7 @@ AI 驱动的生成后端。
 部分技能需要 API 密钥或自定义配置。环境变量可以在 `.env` 文件中设置：
 
 **加载优先级**（高优先级覆盖低优先级）：
-1. 命令行环境变量（如 `OPENAI_API_KEY=xxx /baoyu-image-gen ...`）
+1. 命令行环境变量（如 `OPENAI_API_KEY=xxx /baoyu-imagine ...`）
 2. `process.env`（系统环境变量）
 3. `<cwd>/.baoyu-skills/.env`（项目级）
 4. `~/.baoyu-skills/.env`（用户级）

docs/image-generation.md

@@ -4,7 +4,7 @@ Skills that require image generation MUST delegate to available image generation
 
 ## Skill Selection
 
-**Default**: `skills/baoyu-image-gen/SKILL.md` (unless user specifies otherwise).
+**Default**: `skills/baoyu-imagine/SKILL.md` (unless user specifies otherwise).
 
 1. Read skill's SKILL.md for parameters and capabilities
 2. If user requests different skill, check `skills/` for alternatives
@@ -16,7 +16,7 @@ Skills that require image generation MUST delegate to available image generation
 ### Step N: Generate Images
 
 **Skill Selection**:
-1. Check available skills (`baoyu-image-gen` default, or `baoyu-danger-gemini-web`)
+1. Check available skills (`baoyu-imagine` default, or `baoyu-danger-gemini-web`)
 2. Read selected skill's SKILL.md for parameters
 3. If multiple skills available, ask user to choose
 
@@ -27,7 +27,7 @@ Skills that require image generation MUST delegate to available image generation
 4. On failure, auto-retry once before reporting error
 ```
 
-**Batch Parallel** (`baoyu-image-gen` only): concurrent workers with per-provider throttling via `batch.max_workers` in EXTEND.md.
+**Batch Parallel** (`baoyu-imagine` only): concurrent workers with per-provider throttling via `batch.max_workers` in EXTEND.md.
 
 ## Output Path Convention
 

skills/baoyu-article-illustrator/SKILL.md

@@ -118,7 +118,7 @@ Full template: [references/workflow.md](references/workflow.md#step-4-generate-o
 
 ⛔ **BLOCKING: Prompt files MUST be saved before ANY image generation.**
 
-**Execution strategy**: When multiple illustrations have saved prompt files and the task is now plain generation, prefer `baoyu-image-gen` batch mode (`build-batch.ts` → `--batchfile`) over spawning subagents. Use subagents only when each image still needs separate prompt iteration or creative exploration.
+**Execution strategy**: When multiple illustrations have saved prompt files and the task is now plain generation, prefer `baoyu-imagine` batch mode (`build-batch.ts` → `--batchfile`) over spawning subagents. Use subagents only when each image still needs separate prompt iteration or creative exploration.
 
 1. For each illustration, create a prompt file per [references/prompt-construction.md](references/prompt-construction.md)
 2. Save to `prompts/NN-{type}-{slug}.md` with YAML frontmatter

skills/baoyu-article-illustrator/references/workflow.md

@@ -316,7 +316,7 @@ Prompt Files:
 **DO NOT** pass ad-hoc inline text to `--prompt` without first saving prompt files. The generation command should either use `--promptfiles prompts/NN-{type}-{slug}.md` or read the saved file content for `--prompt`.
 
 **Execution choice**:
-- If multiple illustrations already have saved prompt files and the task is now plain generation, prefer `baoyu-image-gen` batch mode (`build-batch.ts` -> `main.ts --batchfile`)
+- If multiple illustrations already have saved prompt files and the task is now plain generation, prefer `baoyu-imagine` batch mode (`build-batch.ts` -> `main.ts --batchfile`)
 - Use subagents only when each illustration still needs separate prompt rewriting, style exploration, or other per-image reasoning before generation
 
 **CRITICAL - References in Frontmatter**:
@@ -352,7 +352,7 @@ Check available skills. If multiple, ask user.
 
 | Skill Supports `--ref` | Action |
 |------------------------|--------|
-| Yes (e.g., baoyu-image-gen with Google) | Pass reference images via `--ref` |
+| Yes (e.g., baoyu-imagine with Google) | Pass reference images via `--ref` |
 | No | Convert to text description, append to prompt |
 
 **Verification**: Before generating, confirm reference processing:

skills/baoyu-article-illustrator/scripts/build-batch.ts

@@ -29,8 +29,8 @@ Options:
   --prompts <path>     Path to prompts directory
   --output <path>      Path to output batch.json
   --images-dir <path>  Directory for generated images
-  --provider <name>    Provider for baoyu-image-gen batch tasks (default: replicate)
+  --provider <name>    Provider for baoyu-imagine batch tasks (default: replicate)
-  --model <id>         Model for baoyu-image-gen batch tasks (default: google/nano-banana-pro)
+  --model <id>         Model for baoyu-imagine batch tasks (default: google/nano-banana-pro)
   --ar <ratio>         Aspect ratio for all tasks (default: 16:9)
   --quality <level>    Quality for all tasks (default: 2k)
   --jobs <count>       Recommended worker count metadata (optional)

skills/baoyu-comic/SKILL.md

@@ -216,7 +216,7 @@ Analyze → [Check Existing?] → [Confirm: Style + Reviews] → Storyboard →
 
 **7.1 Generate character sheet first**:
 - **Backup rule**: If `characters/characters.png` exists, rename to `characters/characters-backup-YYYYMMDD-HHMMSS.png`
-- Invoke an installed image generation skill such as `baoyu-image-gen`
+- Invoke an installed image generation skill such as `baoyu-imagine`
 - Read that skill's `SKILL.md` and follow its documented interface rather than calling its scripts directly
 - Use `characters/characters.md` as the prompt-file input
 - Save output to `characters/characters.png`

skills/baoyu-comic/references/workflow.md

@@ -433,7 +433,7 @@ With confirmed prompts from Step 5/6:
 | Supports `--ref` | **Strategy A** | Pass `characters/characters.png` with EVERY page |
 | Does NOT support `--ref` | **Strategy B** | Prepend character descriptions to EVERY prompt |
 
-**Strategy A: Using `--ref` parameter** (e.g., baoyu-image-gen)
+**Strategy A: Using `--ref` parameter** (e.g., baoyu-imagine)
 
 - Read the chosen image generation skill's `SKILL.md`
 - Invoke that installed skill via its documented interface, not by calling its scripts directly

skills/baoyu-image-gen/SKILL.md

@@ -1,406 +1,19 @@
 ---
 name: baoyu-image-gen
-description: AI image generation with OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, MiniMax, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
+description: "[DEPRECATED] This skill has been renamed to baoyu-imagine. Triggers on any reference to 'baoyu-image-gen' so users can be guided to upgrade. Use this whenever you detect the old skill name in user prompts, EXTEND.md, or installed skill lists."
-version: 1.56.4
-metadata:
-  openclaw:
-    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-image-gen
-    requires:
-      anyBins:
-        - bun
-        - npx
 ---
 
-# Image Generation (AI SDK)
+# baoyu-image-gen is now baoyu-imagine
 
-Official API-based image generation. Supports OpenAI, Azure OpenAI, Google, OpenRouter, DashScope (阿里通义万象), MiniMax, Jimeng (即梦), Seedream (豆包) and Replicate providers.
+This skill has been renamed to **baoyu-imagine** with new features and providers.
 
-## Script Directory
+## What to do
 
-**Agent Execution**:
+When this skill is triggered, inform the user that `baoyu-image-gen` has been renamed to `baoyu-imagine` with new features and providers, and ask for their confirmation to:
-1. `{baseDir}` = this SKILL.md file's directory
-2. Script path = `{baseDir}/scripts/main.ts`
-3. Resolve `${BUN_X}` runtime: if `bun` installed → `bun`; if `npx` available → `npx -y bun`; else suggest installing bun
 
-## Step 0: Load Preferences ⛔ BLOCKING
+1. **Install the new skill** from: `https://github.com/JimLiu/baoyu-skills/blob/main/skills/baoyu-imagine/SKILL.md`
+2. **Remove the old `baoyu-image-gen` skill**
 
-**CRITICAL**: This step MUST complete BEFORE any image generation. Do NOT skip or defer.
+No config changes are needed — `baoyu-imagine` reads the same EXTEND.md settings (API keys, default provider, etc.).
 
-Check EXTEND.md existence (priority: project → user):
+Once the user confirms, help them complete the installation and removal using whatever mechanism the current environment supports. If the user also has an image generation request, proceed with `baoyu-imagine` after migration.
-
-```bash
-# macOS, Linux, WSL, Git Bash
-test -f .baoyu-skills/baoyu-image-gen/EXTEND.md && echo "project"
-test -f "${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-image-gen/EXTEND.md" && echo "xdg"
-test -f "$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md" && echo "user"
-```
-
-```powershell
-# PowerShell (Windows)
-if (Test-Path .baoyu-skills/baoyu-image-gen/EXTEND.md) { "project" }
-$xdg = if ($env:XDG_CONFIG_HOME) { $env:XDG_CONFIG_HOME } else { "$HOME/.config" }
-if (Test-Path "$xdg/baoyu-skills/baoyu-image-gen/EXTEND.md") { "xdg" }
-if (Test-Path "$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md") { "user" }
-```
-
-| Result | Action |
-|--------|--------|
-| Found | Load, parse, apply settings. If `default_model.[provider]` is null → ask model only (Flow 2) |
-| Not found | ⛔ Run first-time setup ([references/config/first-time-setup.md](references/config/first-time-setup.md)) → Save EXTEND.md → Then continue |
-
-**CRITICAL**: If not found, complete the full setup (provider + model + quality + save location) using AskUserQuestion BEFORE generating any images. Generation is BLOCKED until EXTEND.md is created.
-
-| Path | Location |
-|------|----------|
-| `.baoyu-skills/baoyu-image-gen/EXTEND.md` | Project directory |
-| `$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md` | User home |
-
-**EXTEND.md Supports**: Default provider | Default quality | Default aspect ratio | Default image size | Default models | Batch worker cap | Provider-specific batch limits
-
-Schema: `references/config/preferences-schema.md`
-
-## Usage
-
-```bash
-# Basic
-${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image cat.png
-
-# With aspect ratio
-${BUN_X} {baseDir}/scripts/main.ts --prompt "A landscape" --image out.png --ar 16:9
-
-# High quality
-${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --quality 2k
-
-# From prompt files
-${BUN_X} {baseDir}/scripts/main.ts --promptfiles system.md content.md --image out.png
-
-# With reference images (Google, OpenAI, Azure OpenAI, OpenRouter, Replicate, MiniMax, or Seedream 4.0/4.5/5.0)
-${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png
-
-# With reference images (explicit provider/model)
-${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --provider google --model gemini-3-pro-image-preview --ref source.png
-
-# Azure OpenAI (model means deployment name)
-${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider azure --model gpt-image-1.5
-
-# OpenRouter (recommended default model)
-${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider openrouter
-
-# OpenRouter with reference images
-${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --provider openrouter --model google/gemini-3.1-flash-image-preview --ref source.png
-
-# Specific provider
-${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider openai
-
-# DashScope (阿里通义万象)
-${BUN_X} {baseDir}/scripts/main.ts --prompt "一只可爱的猫" --image out.png --provider dashscope
-
-# DashScope Qwen-Image 2.0 Pro (recommended for custom sizes and text rendering)
-${BUN_X} {baseDir}/scripts/main.ts --prompt "为咖啡品牌设计一张 21:9 横幅海报，包含清晰中文标题" --image out.png --provider dashscope --model qwen-image-2.0-pro --size 2048x872
-
-# DashScope legacy Qwen fixed-size model
-${BUN_X} {baseDir}/scripts/main.ts --prompt "一张电影感海报" --image out.png --provider dashscope --model qwen-image-max --size 1664x928
-
-# MiniMax
-${BUN_X} {baseDir}/scripts/main.ts --prompt "A fashion editorial portrait by a bright studio window" --image out.jpg --provider minimax
-
-# MiniMax with subject reference (best for character/portrait consistency)
-${BUN_X} {baseDir}/scripts/main.ts --prompt "A girl stands by the library window, cinematic lighting" --image out.jpg --provider minimax --model image-01 --ref portrait.png --ar 16:9
-
-# MiniMax with custom size (documented for image-01)
-${BUN_X} {baseDir}/scripts/main.ts --prompt "A cinematic poster" --image out.jpg --provider minimax --model image-01 --size 1536x1024
-
-# Replicate (google/nano-banana-pro)
-${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate
-
-# Replicate with specific model
-${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
-
-# Batch mode with saved prompt files
-${BUN_X} {baseDir}/scripts/main.ts --batchfile batch.json
-
-# Batch mode with explicit worker count
-${BUN_X} {baseDir}/scripts/main.ts --batchfile batch.json --jobs 4 --json
-```
-
-### Batch File Format
-
-```json
-{
-  "jobs": 4,
-  "tasks": [
-    {
-      "id": "hero",
-      "promptFiles": ["prompts/hero.md"],
-      "image": "out/hero.png",
-      "provider": "replicate",
-      "model": "google/nano-banana-pro",
-      "ar": "16:9",
-      "quality": "2k"
-    },
-    {
-      "id": "diagram",
-      "promptFiles": ["prompts/diagram.md"],
-      "image": "out/diagram.png",
-      "ref": ["references/original.png"]
-    }
-  ]
-}
-```
-
-Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch file's directory. `jobs` is optional (overridden by CLI `--jobs`). Top-level array format (without `jobs` wrapper) is also accepted.
-
-## Options
-
-| Option | Description |
-|--------|-------------|
-| `--prompt <text>`, `-p` | Prompt text |
-| `--promptfiles <files...>` | Read prompt from files (concatenated) |
-| `--image <path>` | Output image path (required in single-image mode) |
-| `--batchfile <path>` | JSON batch file for multi-image generation |
-| `--jobs <count>` | Worker count for batch mode (default: auto, max from config, built-in default 10) |
-| `--provider google\|openai\|azure\|openrouter\|dashscope\|minimax\|jimeng\|seedream\|replicate` | Force provider (default: auto-detect) |
-| `--model <id>`, `-m` | Model ID (Google: `gemini-3-pro-image-preview`; OpenAI: `gpt-image-1.5`; Azure: deployment name such as `gpt-image-1.5` or `image-prod`; OpenRouter: `google/gemini-3.1-flash-image-preview`; DashScope: `qwen-image-2.0-pro`; MiniMax: `image-01`) |
-| `--ar <ratio>` | Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) |
-| `--size <WxH>` | Size (e.g., `1024x1024`) |
-| `--quality normal\|2k` | Quality preset (default: `2k`) |
-| `--imageSize 1K\|2K\|4K` | Image size for Google/OpenRouter (default: from quality) |
-| `--ref <files...>` | Reference images. Supported by Google multimodal, OpenAI GPT Image edits, Azure OpenAI edits (PNG/JPG only), OpenRouter multimodal models, Replicate, MiniMax subject-reference, and Seedream 5.0/4.5/4.0. Not supported by Jimeng, Seedream 3.0, or removed SeedEdit 3.0 |
-| `--n <count>` | Number of images |
-| `--json` | JSON output |
-
-## Environment Variables
-
-| Variable | Description |
-|----------|-------------|
-| `OPENAI_API_KEY` | OpenAI API key |
-| `AZURE_OPENAI_API_KEY` | Azure OpenAI API key |
-| `OPENROUTER_API_KEY` | OpenRouter API key |
-| `GOOGLE_API_KEY` | Google API key |
-| `DASHSCOPE_API_KEY` | DashScope API key (阿里云) |
-| `MINIMAX_API_KEY` | MiniMax API key |
-| `REPLICATE_API_TOKEN` | Replicate API token |
-| `JIMENG_ACCESS_KEY_ID` | Jimeng (即梦) Volcengine access key |
-| `JIMENG_SECRET_ACCESS_KEY` | Jimeng (即梦) Volcengine secret key |
-| `ARK_API_KEY` | Seedream (豆包) Volcengine ARK API key |
-| `OPENAI_IMAGE_MODEL` | OpenAI model override |
-| `AZURE_OPENAI_DEPLOYMENT` | Azure default deployment name |
-| `AZURE_OPENAI_IMAGE_MODEL` | Backward-compatible alias for Azure default deployment/model name |
-| `OPENROUTER_IMAGE_MODEL` | OpenRouter model override (default: `google/gemini-3.1-flash-image-preview`) |
-| `GOOGLE_IMAGE_MODEL` | Google model override |
-| `DASHSCOPE_IMAGE_MODEL` | DashScope model override (default: `qwen-image-2.0-pro`) |
-| `MINIMAX_IMAGE_MODEL` | MiniMax model override (default: `image-01`) |
-| `REPLICATE_IMAGE_MODEL` | Replicate model override (default: google/nano-banana-pro) |
-| `JIMENG_IMAGE_MODEL` | Jimeng model override (default: jimeng_t2i_v40) |
-| `SEEDREAM_IMAGE_MODEL` | Seedream model override (default: doubao-seedream-5-0-260128) |
-| `OPENAI_BASE_URL` | Custom OpenAI endpoint |
-| `AZURE_OPENAI_BASE_URL` | Azure resource endpoint or deployment endpoint |
-| `AZURE_API_VERSION` | Azure image API version (default: `2025-04-01-preview`) |
-| `OPENROUTER_BASE_URL` | Custom OpenRouter endpoint (default: `https://openrouter.ai/api/v1`) |
-| `OPENROUTER_HTTP_REFERER` | Optional app/site URL for OpenRouter attribution |
-| `OPENROUTER_TITLE` | Optional app name for OpenRouter attribution |
-| `GOOGLE_BASE_URL` | Custom Google endpoint |
-| `DASHSCOPE_BASE_URL` | Custom DashScope endpoint |
-| `MINIMAX_BASE_URL` | Custom MiniMax endpoint (default: `https://api.minimax.io`) |
-| `REPLICATE_BASE_URL` | Custom Replicate endpoint |
-| `JIMENG_BASE_URL` | Custom Jimeng endpoint (default: `https://visual.volcengineapi.com`) |
-| `JIMENG_REGION` | Jimeng region (default: `cn-north-1`) |
-| `SEEDREAM_BASE_URL` | Custom Seedream endpoint (default: `https://ark.cn-beijing.volces.com/api/v3`) |
-| `BAOYU_IMAGE_GEN_MAX_WORKERS` | Override batch worker cap |
-| `BAOYU_IMAGE_GEN_<PROVIDER>_CONCURRENCY` | Override provider concurrency, e.g. `BAOYU_IMAGE_GEN_REPLICATE_CONCURRENCY` |
-| `BAOYU_IMAGE_GEN_<PROVIDER>_START_INTERVAL_MS` | Override provider start gap, e.g. `BAOYU_IMAGE_GEN_REPLICATE_START_INTERVAL_MS` |
-
-**Load Priority**: CLI args > EXTEND.md > env vars > `<cwd>/.baoyu-skills/.env` > `~/.baoyu-skills/.env`
-
-## Model Resolution
-
-Model priority (highest → lowest), applies to all providers:
-
-1. CLI flag: `--model <id>`
-2. EXTEND.md: `default_model.[provider]`
-3. Env var: `<PROVIDER>_IMAGE_MODEL` (e.g., `GOOGLE_IMAGE_MODEL`)
-4. Built-in default
-
-For Azure, `--model` / `default_model.azure` should be the Azure deployment name. `AZURE_OPENAI_DEPLOYMENT` is the preferred env var, and `AZURE_OPENAI_IMAGE_MODEL` remains as a backward-compatible alias.
-
-**EXTEND.md overrides env vars**. If both EXTEND.md `default_model.google: "gemini-3-pro-image-preview"` and env var `GOOGLE_IMAGE_MODEL=gemini-3.1-flash-image-preview` exist, EXTEND.md wins.
-
-**Agent MUST display model info** before each generation:
-- Show: `Using [provider] / [model]`
-- Show switch hint: `Switch model: --model <id> | EXTEND.md default_model.[provider] | env <PROVIDER>_IMAGE_MODEL`
-
-### DashScope Models
-
-Use `--model qwen-image-2.0-pro` or set `default_model.dashscope` / `DASHSCOPE_IMAGE_MODEL` when the user wants official Qwen-Image behavior.
-
-Official DashScope model families:
-
-- `qwen-image-2.0-pro`, `qwen-image-2.0-pro-2026-03-03`, `qwen-image-2.0`, `qwen-image-2.0-2026-03-03`
-  - Free-form `size` in `宽*高` format
-  - Total pixels must stay between `512*512` and `2048*2048`
-  - Default size is approximately `1024*1024`
-  - Best choice for custom ratios such as `21:9` and text-heavy Chinese/English layouts
-- `qwen-image-max`, `qwen-image-max-2025-12-30`, `qwen-image-plus`, `qwen-image-plus-2026-01-09`, `qwen-image`
-  - Fixed sizes only: `1664*928`, `1472*1104`, `1328*1328`, `1104*1472`, `928*1664`
-  - Default size is `1664*928`
-  - `qwen-image` currently has the same capability as `qwen-image-plus`
-- Legacy DashScope models such as `z-image-turbo`, `z-image-ultra`, `wanx-v1`
-  - Keep using them only when the user explicitly asks for legacy behavior or compatibility
-
-When translating CLI args into DashScope behavior:
-
-- `--size` wins over `--ar`
-- For `qwen-image-2.0*`, prefer explicit `--size`; otherwise infer from `--ar` and use the official recommended resolutions below
-- For `qwen-image-max/plus/image`, only use the five official fixed sizes; if the requested ratio is not covered, switch to `qwen-image-2.0-pro`
-- `--quality` is a baoyu-image-gen compatibility preset, not a native DashScope API field. Mapping `normal` / `2k` onto the `qwen-image-2.0*` table below is an implementation inference, not an official API guarantee
-
-Recommended `qwen-image-2.0*` sizes for common aspect ratios:
-
-| Ratio | `normal` | `2k` |
-|-------|----------|------|
-| `1:1` | `1024*1024` | `1536*1536` |
-| `2:3` | `768*1152` | `1024*1536` |
-| `3:2` | `1152*768` | `1536*1024` |
-| `3:4` | `960*1280` | `1080*1440` |
-| `4:3` | `1280*960` | `1440*1080` |
-| `9:16` | `720*1280` | `1080*1920` |
-| `16:9` | `1280*720` | `1920*1080` |
-| `21:9` | `1344*576` | `2048*872` |
-
-DashScope official APIs also expose `negative_prompt`, `prompt_extend`, and `watermark`, but `baoyu-image-gen` does not expose them as dedicated CLI flags today.
-
-Official references:
-
-- [Qwen-Image API](https://help.aliyun.com/zh/model-studio/qwen-image-api)
-- [Text-to-image guide](https://help.aliyun.com/zh/model-studio/text-to-image)
-- [Qwen-Image Edit API](https://help.aliyun.com/zh/model-studio/qwen-image-edit-api)
-
-### MiniMax Models
-
-Use `--model image-01` or set `default_model.minimax` / `MINIMAX_IMAGE_MODEL` when the user wants MiniMax image generation.
-
-Official MiniMax image model options currently documented in the API reference:
-
-- `image-01` (recommended default)
-  - Supports text-to-image and subject-reference image generation
-  - Supports official `aspect_ratio` values: `1:1`, `16:9`, `4:3`, `3:2`, `2:3`, `3:4`, `9:16`, `21:9`
-  - Supports documented custom `width` / `height` output sizes when using `--size <WxH>`
-  - `width` and `height` must both be between `512` and `2048`, and both must be divisible by `8`
-- `image-01-live`
-  - Lower-latency variant
-  - Use `--ar` for sizing; MiniMax documents custom `width` / `height` as only effective for `image-01`
-
-MiniMax subject reference notes:
-
-- `--ref` files are sent as MiniMax `subject_reference`
-- MiniMax docs currently describe `subject_reference[].type` as `character`
-- Official docs say `image_file` supports public URLs or Base64 Data URLs; `baoyu-image-gen` sends local refs as Data URLs
-- Official docs recommend front-facing portrait references in JPG/JPEG/PNG under 10MB
-
-Official references:
-
-- [MiniMax Image Generation Guide](https://platform.minimax.io/docs/guides/image-generation)
-- [MiniMax Text-to-Image API](https://platform.minimax.io/docs/api-reference/image-generation-t2i)
-- [MiniMax Image-to-Image API](https://platform.minimax.io/docs/api-reference/image-generation-i2i)
-
-### OpenRouter Models
-
-Use full OpenRouter model IDs, e.g.:
-
-- `google/gemini-3.1-flash-image-preview` (recommended, supports image output and reference-image workflows)
-- `google/gemini-2.5-flash-image-preview`
-- `black-forest-labs/flux.2-pro`
-- Other OpenRouter image-capable model IDs
-
-Notes:
-
-- OpenRouter image generation uses `/chat/completions`, not the OpenAI `/images` endpoints
-- If `--ref` is used, choose a multimodal model that supports image input and image output
-- `--imageSize` maps to OpenRouter `imageGenerationOptions.size`; `--size <WxH>` is converted to the nearest OpenRouter size and inferred aspect ratio when possible
-
-### Replicate Models
-
-Supported model formats:
-
-- `owner/name` (recommended for official models), e.g. `google/nano-banana-pro`
-- `owner/name:version` (community models by version), e.g. `stability-ai/sdxl:<version>`
-
-Examples:
-
-```bash
-# Use Replicate default model
-${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate
-
-# Override model explicitly
-${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
-```
-
-## Provider Selection
-
-1. `--ref` provided + no `--provider` → auto-select Google first, then OpenAI, then Azure, then OpenRouter, then Replicate, then Seedream, then MiniMax (MiniMax subject reference is more specialized toward character/portrait consistency)
-2. `--provider` specified → use it (if `--ref`, must be `google`, `openai`, `azure`, `openrouter`, `replicate`, `seedream`, or `minimax`)
-3. Only one API key available → use that provider
-4. Multiple available → default to Google
-
-## Quality Presets
-
-| Preset | Google imageSize | OpenAI Size | OpenRouter size | Replicate resolution | Use Case |
-|--------|------------------|-------------|-----------------|----------------------|----------|
-| `normal` | 1K | 1024px | 1K | 1K | Quick previews |
-| `2k` (default) | 2K | 2048px | 2K | 2K | Covers, illustrations, infographics |
-
-**Google/OpenRouter imageSize**: Can be overridden with `--imageSize 1K|2K|4K`
-
-## Aspect Ratios
-
-Supported: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `2.35:1`
-
-- Google multimodal: uses `imageConfig.aspectRatio`
-- OpenAI: maps to closest supported size
-- OpenRouter: sends `imageGenerationOptions.aspect_ratio`; if only `--size <WxH>` is given, aspect ratio is inferred automatically
-- Replicate: passes `aspect_ratio` to model; when `--ref` is provided without `--ar`, defaults to `match_input_image`
-- MiniMax: sends official `aspect_ratio` values directly; if `--size <WxH>` is given without `--ar`, `width` / `height` are sent for `image-01`
-
-## Generation Mode
-
-**Default**: Sequential generation.
-
-**Batch Parallel Generation**: When `--batchfile` contains 2 or more pending tasks, the script automatically enables parallel generation.
-
-| Mode | When to Use |
-|------|-------------|
-| Sequential (default) | Normal usage, single images, small batches |
-| Parallel batch | Batch mode with 2+ tasks |
-
-Execution choice:
-
-| Situation | Preferred approach | Why |
-|-----------|--------------------|-----|
-| One image, or 1-2 simple images | Sequential | Lower coordination overhead and easier debugging |
-| Multiple images already have saved prompt files | Batch (`--batchfile`) | Reuses finalized prompts, applies shared throttling/retries, and gives predictable throughput |
-| Each image still needs separate reasoning, prompt writing, or style exploration | Subagents | The work is still exploratory, so each image may need independent analysis before generation |
-| Output comes from `baoyu-article-illustrator` with `outline.md` + `prompts/` | Batch (`build-batch.ts` -> `--batchfile`) | That workflow already produces prompt files, so direct batch execution is the intended path |
-
-Rule of thumb:
-
-- Prefer batch over subagents once prompt files are already saved and the task is "generate all of these"
-- Use subagents only when generation is coupled with per-image thinking, rewriting, or divergent creative exploration
-
-Parallel behavior:
-
-- Default worker count is automatic, capped by config, built-in default 10
-- Provider-specific throttling is applied only in batch mode, and the built-in defaults are tuned for faster throughput while still avoiding obvious RPM bursts
-- You can override worker count with `--jobs <count>`
-- Each image retries automatically up to 3 attempts
-- Final output includes success count, failure count, and per-image failure reasons
-
-## Error Handling
-
-- Missing API key → error with setup instructions
-- Generation failure → auto-retry up to 3 attempts per image
-- Invalid aspect ratio → warning, proceed with default
-- Reference images with unsupported provider/model → error with fix hint
-
-## Extension Support
-
-Custom configurations via EXTEND.md. See **Preferences** section for paths and supported options.

skills/baoyu-imagine/SKILL.md

@@ -0,0 +1,408 @@
+---
+name: baoyu-imagine
+description: AI image generation with OpenAI, Azure OpenAI, Google, OpenRouter, DashScope, MiniMax, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
+version: 1.56.4
+metadata:
+  openclaw:
+    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-imagine
+    requires:
+      anyBins:
+        - bun
+        - npx
+---
+
+# Image Generation (AI SDK)
+
+Official API-based image generation. Supports OpenAI, Azure OpenAI, Google, OpenRouter, DashScope (阿里通义万象), MiniMax, Jimeng (即梦), Seedream (豆包) and Replicate providers.
+
+## Script Directory
+
+**Agent Execution**:
+1. `{baseDir}` = this SKILL.md file's directory
+2. Script path = `{baseDir}/scripts/main.ts`
+3. Resolve `${BUN_X}` runtime: if `bun` installed → `bun`; if `npx` available → `npx -y bun`; else suggest installing bun
+
+## Step 0: Load Preferences ⛔ BLOCKING
+
+**CRITICAL**: This step MUST complete BEFORE any image generation. Do NOT skip or defer.
+
+Check EXTEND.md existence (priority: project → user):
+
+```bash
+# macOS, Linux, WSL, Git Bash
+test -f .baoyu-skills/baoyu-imagine/EXTEND.md && echo "project"
+test -f "${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-imagine/EXTEND.md" && echo "xdg"
+test -f "$HOME/.baoyu-skills/baoyu-imagine/EXTEND.md" && echo "user"
+```
+
+```powershell
+# PowerShell (Windows)
+if (Test-Path .baoyu-skills/baoyu-imagine/EXTEND.md) { "project" }
+$xdg = if ($env:XDG_CONFIG_HOME) { $env:XDG_CONFIG_HOME } else { "$HOME/.config" }
+if (Test-Path "$xdg/baoyu-skills/baoyu-imagine/EXTEND.md") { "xdg" }
+if (Test-Path "$HOME/.baoyu-skills/baoyu-imagine/EXTEND.md") { "user" }
+```
+
+| Result | Action |
+|--------|--------|
+| Found | Load, parse, apply settings. If `default_model.[provider]` is null → ask model only (Flow 2) |
+| Not found | ⛔ Run first-time setup ([references/config/first-time-setup.md](references/config/first-time-setup.md)) → Save EXTEND.md → Then continue |
+
+**CRITICAL**: If not found, complete the full setup (provider + model + quality + save location) using AskUserQuestion BEFORE generating any images. Generation is BLOCKED until EXTEND.md is created.
+
+| Path | Location |
+|------|----------|
+| `.baoyu-skills/baoyu-imagine/EXTEND.md` | Project directory |
+| `$HOME/.baoyu-skills/baoyu-imagine/EXTEND.md` | User home |
+
+Legacy compatibility: if `.baoyu-skills/baoyu-image-gen/EXTEND.md` exists and the new path does not, runtime renames it to `baoyu-imagine`. If both files exist, runtime leaves them unchanged and uses the new path.
+
+**EXTEND.md Supports**: Default provider | Default quality | Default aspect ratio | Default image size | Default models | Batch worker cap | Provider-specific batch limits
+
+Schema: `references/config/preferences-schema.md`
+
+## Usage
+
+```bash
+# Basic
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image cat.png
+
+# With aspect ratio
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A landscape" --image out.png --ar 16:9
+
+# High quality
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --quality 2k
+
+# From prompt files
+${BUN_X} {baseDir}/scripts/main.ts --promptfiles system.md content.md --image out.png
+
+# With reference images (Google, OpenAI, Azure OpenAI, OpenRouter, Replicate, MiniMax, or Seedream 4.0/4.5/5.0)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png
+
+# With reference images (explicit provider/model)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --provider google --model gemini-3-pro-image-preview --ref source.png
+
+# Azure OpenAI (model means deployment name)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider azure --model gpt-image-1.5
+
+# OpenRouter (recommended default model)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider openrouter
+
+# OpenRouter with reference images
+${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --provider openrouter --model google/gemini-3.1-flash-image-preview --ref source.png
+
+# Specific provider
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider openai
+
+# DashScope (阿里通义万象)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "一只可爱的猫" --image out.png --provider dashscope
+
+# DashScope Qwen-Image 2.0 Pro (recommended for custom sizes and text rendering)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "为咖啡品牌设计一张 21:9 横幅海报，包含清晰中文标题" --image out.png --provider dashscope --model qwen-image-2.0-pro --size 2048x872
+
+# DashScope legacy Qwen fixed-size model
+${BUN_X} {baseDir}/scripts/main.ts --prompt "一张电影感海报" --image out.png --provider dashscope --model qwen-image-max --size 1664x928
+
+# MiniMax
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A fashion editorial portrait by a bright studio window" --image out.jpg --provider minimax
+
+# MiniMax with subject reference (best for character/portrait consistency)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A girl stands by the library window, cinematic lighting" --image out.jpg --provider minimax --model image-01 --ref portrait.png --ar 16:9
+
+# MiniMax with custom size (documented for image-01)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cinematic poster" --image out.jpg --provider minimax --model image-01 --size 1536x1024
+
+# Replicate (google/nano-banana-pro)
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate
+
+# Replicate with specific model
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
+
+# Batch mode with saved prompt files
+${BUN_X} {baseDir}/scripts/main.ts --batchfile batch.json
+
+# Batch mode with explicit worker count
+${BUN_X} {baseDir}/scripts/main.ts --batchfile batch.json --jobs 4 --json
+```
+
+### Batch File Format
+
+```json
+{
+  "jobs": 4,
+  "tasks": [
+    {
+      "id": "hero",
+      "promptFiles": ["prompts/hero.md"],
+      "image": "out/hero.png",
+      "provider": "replicate",
+      "model": "google/nano-banana-pro",
+      "ar": "16:9",
+      "quality": "2k"
+    },
+    {
+      "id": "diagram",
+      "promptFiles": ["prompts/diagram.md"],
+      "image": "out/diagram.png",
+      "ref": ["references/original.png"]
+    }
+  ]
+}
+```
+
+Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch file's directory. `jobs` is optional (overridden by CLI `--jobs`). Top-level array format (without `jobs` wrapper) is also accepted.
+
+## Options
+
+| Option | Description |
+|--------|-------------|
+| `--prompt <text>`, `-p` | Prompt text |
+| `--promptfiles <files...>` | Read prompt from files (concatenated) |
+| `--image <path>` | Output image path (required in single-image mode) |
+| `--batchfile <path>` | JSON batch file for multi-image generation |
+| `--jobs <count>` | Worker count for batch mode (default: auto, max from config, built-in default 10) |
+| `--provider google\|openai\|azure\|openrouter\|dashscope\|minimax\|jimeng\|seedream\|replicate` | Force provider (default: auto-detect) |
+| `--model <id>`, `-m` | Model ID (Google: `gemini-3-pro-image-preview`; OpenAI: `gpt-image-1.5`; Azure: deployment name such as `gpt-image-1.5` or `image-prod`; OpenRouter: `google/gemini-3.1-flash-image-preview`; DashScope: `qwen-image-2.0-pro`; MiniMax: `image-01`) |
+| `--ar <ratio>` | Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) |
+| `--size <WxH>` | Size (e.g., `1024x1024`) |
+| `--quality normal\|2k` | Quality preset (default: `2k`) |
+| `--imageSize 1K\|2K\|4K` | Image size for Google/OpenRouter (default: from quality) |
+| `--ref <files...>` | Reference images. Supported by Google multimodal, OpenAI GPT Image edits, Azure OpenAI edits (PNG/JPG only), OpenRouter multimodal models, Replicate, MiniMax subject-reference, and Seedream 5.0/4.5/4.0. Not supported by Jimeng, Seedream 3.0, or removed SeedEdit 3.0 |
+| `--n <count>` | Number of images |
+| `--json` | JSON output |
+
+## Environment Variables
+
+| Variable | Description |
+|----------|-------------|
+| `OPENAI_API_KEY` | OpenAI API key |
+| `AZURE_OPENAI_API_KEY` | Azure OpenAI API key |
+| `OPENROUTER_API_KEY` | OpenRouter API key |
+| `GOOGLE_API_KEY` | Google API key |
+| `DASHSCOPE_API_KEY` | DashScope API key (阿里云) |
+| `MINIMAX_API_KEY` | MiniMax API key |
+| `REPLICATE_API_TOKEN` | Replicate API token |
+| `JIMENG_ACCESS_KEY_ID` | Jimeng (即梦) Volcengine access key |
+| `JIMENG_SECRET_ACCESS_KEY` | Jimeng (即梦) Volcengine secret key |
+| `ARK_API_KEY` | Seedream (豆包) Volcengine ARK API key |
+| `OPENAI_IMAGE_MODEL` | OpenAI model override |
+| `AZURE_OPENAI_DEPLOYMENT` | Azure default deployment name |
+| `AZURE_OPENAI_IMAGE_MODEL` | Backward-compatible alias for Azure default deployment/model name |
+| `OPENROUTER_IMAGE_MODEL` | OpenRouter model override (default: `google/gemini-3.1-flash-image-preview`) |
+| `GOOGLE_IMAGE_MODEL` | Google model override |
+| `DASHSCOPE_IMAGE_MODEL` | DashScope model override (default: `qwen-image-2.0-pro`) |
+| `MINIMAX_IMAGE_MODEL` | MiniMax model override (default: `image-01`) |
+| `REPLICATE_IMAGE_MODEL` | Replicate model override (default: google/nano-banana-pro) |
+| `JIMENG_IMAGE_MODEL` | Jimeng model override (default: jimeng_t2i_v40) |
+| `SEEDREAM_IMAGE_MODEL` | Seedream model override (default: doubao-seedream-5-0-260128) |
+| `OPENAI_BASE_URL` | Custom OpenAI endpoint |
+| `AZURE_OPENAI_BASE_URL` | Azure resource endpoint or deployment endpoint |
+| `AZURE_API_VERSION` | Azure image API version (default: `2025-04-01-preview`) |
+| `OPENROUTER_BASE_URL` | Custom OpenRouter endpoint (default: `https://openrouter.ai/api/v1`) |
+| `OPENROUTER_HTTP_REFERER` | Optional app/site URL for OpenRouter attribution |
+| `OPENROUTER_TITLE` | Optional app name for OpenRouter attribution |
+| `GOOGLE_BASE_URL` | Custom Google endpoint |
+| `DASHSCOPE_BASE_URL` | Custom DashScope endpoint |
+| `MINIMAX_BASE_URL` | Custom MiniMax endpoint (default: `https://api.minimax.io`) |
+| `REPLICATE_BASE_URL` | Custom Replicate endpoint |
+| `JIMENG_BASE_URL` | Custom Jimeng endpoint (default: `https://visual.volcengineapi.com`) |
+| `JIMENG_REGION` | Jimeng region (default: `cn-north-1`) |
+| `SEEDREAM_BASE_URL` | Custom Seedream endpoint (default: `https://ark.cn-beijing.volces.com/api/v3`) |
+| `BAOYU_IMAGE_GEN_MAX_WORKERS` | Override batch worker cap |
+| `BAOYU_IMAGE_GEN_<PROVIDER>_CONCURRENCY` | Override provider concurrency, e.g. `BAOYU_IMAGE_GEN_REPLICATE_CONCURRENCY` |
+| `BAOYU_IMAGE_GEN_<PROVIDER>_START_INTERVAL_MS` | Override provider start gap, e.g. `BAOYU_IMAGE_GEN_REPLICATE_START_INTERVAL_MS` |
+
+**Load Priority**: CLI args > EXTEND.md > env vars > `<cwd>/.baoyu-skills/.env` > `~/.baoyu-skills/.env`
+
+## Model Resolution
+
+Model priority (highest → lowest), applies to all providers:
+
+1. CLI flag: `--model <id>`
+2. EXTEND.md: `default_model.[provider]`
+3. Env var: `<PROVIDER>_IMAGE_MODEL` (e.g., `GOOGLE_IMAGE_MODEL`)
+4. Built-in default
+
+For Azure, `--model` / `default_model.azure` should be the Azure deployment name. `AZURE_OPENAI_DEPLOYMENT` is the preferred env var, and `AZURE_OPENAI_IMAGE_MODEL` remains as a backward-compatible alias.
+
+**EXTEND.md overrides env vars**. If both EXTEND.md `default_model.google: "gemini-3-pro-image-preview"` and env var `GOOGLE_IMAGE_MODEL=gemini-3.1-flash-image-preview` exist, EXTEND.md wins.
+
+**Agent MUST display model info** before each generation:
+- Show: `Using [provider] / [model]`
+- Show switch hint: `Switch model: --model <id> | EXTEND.md default_model.[provider] | env <PROVIDER>_IMAGE_MODEL`
+
+### DashScope Models
+
+Use `--model qwen-image-2.0-pro` or set `default_model.dashscope` / `DASHSCOPE_IMAGE_MODEL` when the user wants official Qwen-Image behavior.
+
+Official DashScope model families:
+
+- `qwen-image-2.0-pro`, `qwen-image-2.0-pro-2026-03-03`, `qwen-image-2.0`, `qwen-image-2.0-2026-03-03`
+  - Free-form `size` in `宽*高` format
+  - Total pixels must stay between `512*512` and `2048*2048`
+  - Default size is approximately `1024*1024`
+  - Best choice for custom ratios such as `21:9` and text-heavy Chinese/English layouts
+- `qwen-image-max`, `qwen-image-max-2025-12-30`, `qwen-image-plus`, `qwen-image-plus-2026-01-09`, `qwen-image`
+  - Fixed sizes only: `1664*928`, `1472*1104`, `1328*1328`, `1104*1472`, `928*1664`
+  - Default size is `1664*928`
+  - `qwen-image` currently has the same capability as `qwen-image-plus`
+- Legacy DashScope models such as `z-image-turbo`, `z-image-ultra`, `wanx-v1`
+  - Keep using them only when the user explicitly asks for legacy behavior or compatibility
+
+When translating CLI args into DashScope behavior:
+
+- `--size` wins over `--ar`
+- For `qwen-image-2.0*`, prefer explicit `--size`; otherwise infer from `--ar` and use the official recommended resolutions below
+- For `qwen-image-max/plus/image`, only use the five official fixed sizes; if the requested ratio is not covered, switch to `qwen-image-2.0-pro`
+- `--quality` is a baoyu-imagine compatibility preset, not a native DashScope API field. Mapping `normal` / `2k` onto the `qwen-image-2.0*` table below is an implementation inference, not an official API guarantee
+
+Recommended `qwen-image-2.0*` sizes for common aspect ratios:
+
+| Ratio | `normal` | `2k` |
+|-------|----------|------|
+| `1:1` | `1024*1024` | `1536*1536` |
+| `2:3` | `768*1152` | `1024*1536` |
+| `3:2` | `1152*768` | `1536*1024` |
+| `3:4` | `960*1280` | `1080*1440` |
+| `4:3` | `1280*960` | `1440*1080` |
+| `9:16` | `720*1280` | `1080*1920` |
+| `16:9` | `1280*720` | `1920*1080` |
+| `21:9` | `1344*576` | `2048*872` |
+
+DashScope official APIs also expose `negative_prompt`, `prompt_extend`, and `watermark`, but `baoyu-imagine` does not expose them as dedicated CLI flags today.
+
+Official references:
+
+- [Qwen-Image API](https://help.aliyun.com/zh/model-studio/qwen-image-api)
+- [Text-to-image guide](https://help.aliyun.com/zh/model-studio/text-to-image)
+- [Qwen-Image Edit API](https://help.aliyun.com/zh/model-studio/qwen-image-edit-api)
+
+### MiniMax Models
+
+Use `--model image-01` or set `default_model.minimax` / `MINIMAX_IMAGE_MODEL` when the user wants MiniMax image generation.
+
+Official MiniMax image model options currently documented in the API reference:
+
+- `image-01` (recommended default)
+  - Supports text-to-image and subject-reference image generation
+  - Supports official `aspect_ratio` values: `1:1`, `16:9`, `4:3`, `3:2`, `2:3`, `3:4`, `9:16`, `21:9`
+  - Supports documented custom `width` / `height` output sizes when using `--size <WxH>`
+  - `width` and `height` must both be between `512` and `2048`, and both must be divisible by `8`
+- `image-01-live`
+  - Lower-latency variant
+  - Use `--ar` for sizing; MiniMax documents custom `width` / `height` as only effective for `image-01`
+
+MiniMax subject reference notes:
+
+- `--ref` files are sent as MiniMax `subject_reference`
+- MiniMax docs currently describe `subject_reference[].type` as `character`
+- Official docs say `image_file` supports public URLs or Base64 Data URLs; `baoyu-imagine` sends local refs as Data URLs
+- Official docs recommend front-facing portrait references in JPG/JPEG/PNG under 10MB
+
+Official references:
+
+- [MiniMax Image Generation Guide](https://platform.minimax.io/docs/guides/image-generation)
+- [MiniMax Text-to-Image API](https://platform.minimax.io/docs/api-reference/image-generation-t2i)
+- [MiniMax Image-to-Image API](https://platform.minimax.io/docs/api-reference/image-generation-i2i)
+
+### OpenRouter Models
+
+Use full OpenRouter model IDs, e.g.:
+
+- `google/gemini-3.1-flash-image-preview` (recommended, supports image output and reference-image workflows)
+- `google/gemini-2.5-flash-image-preview`
+- `black-forest-labs/flux.2-pro`
+- Other OpenRouter image-capable model IDs
+
+Notes:
+
+- OpenRouter image generation uses `/chat/completions`, not the OpenAI `/images` endpoints
+- If `--ref` is used, choose a multimodal model that supports image input and image output
+- `--imageSize` maps to OpenRouter `imageGenerationOptions.size`; `--size <WxH>` is converted to the nearest OpenRouter size and inferred aspect ratio when possible
+
+### Replicate Models
+
+Supported model formats:
+
+- `owner/name` (recommended for official models), e.g. `google/nano-banana-pro`
+- `owner/name:version` (community models by version), e.g. `stability-ai/sdxl:<version>`
+
+Examples:
+
+```bash
+# Use Replicate default model
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate
+
+# Override model explicitly
+${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
+```
+
+## Provider Selection
+
+1. `--ref` provided + no `--provider` → auto-select Google first, then OpenAI, then Azure, then OpenRouter, then Replicate, then Seedream, then MiniMax (MiniMax subject reference is more specialized toward character/portrait consistency)
+2. `--provider` specified → use it (if `--ref`, must be `google`, `openai`, `azure`, `openrouter`, `replicate`, `seedream`, or `minimax`)
+3. Only one API key available → use that provider
+4. Multiple available → default to Google
+
+## Quality Presets
+
+| Preset | Google imageSize | OpenAI Size | OpenRouter size | Replicate resolution | Use Case |
+|--------|------------------|-------------|-----------------|----------------------|----------|
+| `normal` | 1K | 1024px | 1K | 1K | Quick previews |
+| `2k` (default) | 2K | 2048px | 2K | 2K | Covers, illustrations, infographics |
+
+**Google/OpenRouter imageSize**: Can be overridden with `--imageSize 1K|2K|4K`
+
+## Aspect Ratios
+
+Supported: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `2.35:1`
+
+- Google multimodal: uses `imageConfig.aspectRatio`
+- OpenAI: maps to closest supported size
+- OpenRouter: sends `imageGenerationOptions.aspect_ratio`; if only `--size <WxH>` is given, aspect ratio is inferred automatically
+- Replicate: passes `aspect_ratio` to model; when `--ref` is provided without `--ar`, defaults to `match_input_image`
+- MiniMax: sends official `aspect_ratio` values directly; if `--size <WxH>` is given without `--ar`, `width` / `height` are sent for `image-01`
+
+## Generation Mode
+
+**Default**: Sequential generation.
+
+**Batch Parallel Generation**: When `--batchfile` contains 2 or more pending tasks, the script automatically enables parallel generation.
+
+| Mode | When to Use |
+|------|-------------|
+| Sequential (default) | Normal usage, single images, small batches |
+| Parallel batch | Batch mode with 2+ tasks |
+
+Execution choice:
+
+| Situation | Preferred approach | Why |
+|-----------|--------------------|-----|
+| One image, or 1-2 simple images | Sequential | Lower coordination overhead and easier debugging |
+| Multiple images already have saved prompt files | Batch (`--batchfile`) | Reuses finalized prompts, applies shared throttling/retries, and gives predictable throughput |
+| Each image still needs separate reasoning, prompt writing, or style exploration | Subagents | The work is still exploratory, so each image may need independent analysis before generation |
+| Output comes from `baoyu-article-illustrator` with `outline.md` + `prompts/` | Batch (`build-batch.ts` -> `--batchfile`) | That workflow already produces prompt files, so direct batch execution is the intended path |
+
+Rule of thumb:
+
+- Prefer batch over subagents once prompt files are already saved and the task is "generate all of these"
+- Use subagents only when generation is coupled with per-image thinking, rewriting, or divergent creative exploration
+
+Parallel behavior:
+
+- Default worker count is automatic, capped by config, built-in default 10
+- Provider-specific throttling is applied only in batch mode, and the built-in defaults are tuned for faster throughput while still avoiding obvious RPM bursts
+- You can override worker count with `--jobs <count>`
+- Each image retries automatically up to 3 attempts
+- Final output includes success count, failure count, and per-image failure reasons
+
+## Error Handling
+
+- Missing API key → error with setup instructions
+- Generation failure → auto-retry up to 3 attempts per image
+- Invalid aspect ratio → warning, proceed with default
+- Reference images with unsupported provider/model → error with fix hint
+
+## Extension Support
+
+Custom configurations via EXTEND.md. See **Preferences** section for paths and supported options.

skills/baoyu-imagine/references/config/first-time-setup.md

@@ -1,6 +1,6 @@
 ---
 name: first-time-setup
-description: First-time setup and default model selection flow for baoyu-image-gen
+description: First-time setup and default model selection flow for baoyu-imagine
 ---
 
 # First-Time Setup
@@ -147,8 +147,8 @@ options:
 
 | Choice | Path | Scope |
 |--------|------|-------|
-| Project | `.baoyu-skills/baoyu-image-gen/EXTEND.md` | Current project |
+| Project | `.baoyu-skills/baoyu-imagine/EXTEND.md` | Current project |
-| User | `$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md` | All projects |
+| User | `$HOME/.baoyu-skills/baoyu-imagine/EXTEND.md` | All projects |
 
 ### EXTEND.md Template
 
@@ -214,7 +214,7 @@ options:
 
 Notes for Azure setup:
 
-- In `baoyu-image-gen`, Azure `--model` / `default_model.azure` should be the Azure deployment name, not just the underlying model family.
+- In `baoyu-imagine`, Azure `--model` / `default_model.azure` should be the Azure deployment name, not just the underlying model family.
 - If the deployment name is custom, save that exact deployment name in `default_model.azure`.
 
 ### OpenRouter Model Selection
@@ -255,7 +255,7 @@ Notes for DashScope setup:
 
 - Prefer `qwen-image-2.0-pro` when the user needs custom `--size`, uncommon ratios like `21:9`, or strong Chinese/English text rendering.
 - `qwen-image-max` / `qwen-image-plus` / `qwen-image` only support five fixed sizes: `1664*928`, `1472*1104`, `1328*1328`, `1104*1472`, `928*1664`.
-- In `baoyu-image-gen`, `quality` is a compatibility preset. It is not a native DashScope parameter.
+- In `baoyu-imagine`, `quality` is a compatibility preset. It is not a native DashScope parameter.
 
 ### Replicate Model Selection
 

skills/baoyu-imagine/references/config/preferences-schema.md

@@ -1,6 +1,6 @@
 ---
 name: preferences-schema
-description: EXTEND.md YAML schema for baoyu-image-gen user preferences
+description: EXTEND.md YAML schema for baoyu-imagine user preferences
 ---
 
 # Preferences Schema

skills/baoyu-imagine/scripts/main.test.ts

@@ -13,6 +13,7 @@ import {
   getWorkerCount,
   isRetryableGenerationError,
   loadBatchTasks,
+  loadExtendConfig,
   mergeConfig,
   normalizeOutputImagePath,
   parseArgs,
@@ -69,7 +70,7 @@ async function makeTempDir(prefix: string): Promise<string> {
   return fs.mkdtemp(path.join(os.tmpdir(), prefix));
 }
 
-test("parseArgs parses the main image-gen CLI flags", () => {
+test("parseArgs parses the main baoyu-imagine CLI flags", () => {
   const args = parseArgs([
     "--promptfiles",
     "prompts/system.md",
@@ -170,6 +171,61 @@ batch:
   });
 });
 
+test("loadExtendConfig renames legacy EXTEND.md when the new path is missing", async () => {
+  const root = await makeTempDir("baoyu-imagine-extend-");
+  const cwd = path.join(root, "project");
+  const home = path.join(root, "home");
+  const legacyPath = path.join(cwd, ".baoyu-skills", "baoyu-image-gen", "EXTEND.md");
+  const currentPath = path.join(cwd, ".baoyu-skills", "baoyu-imagine", "EXTEND.md");
+
+  await fs.mkdir(path.dirname(legacyPath), { recursive: true });
+  await fs.mkdir(home, { recursive: true });
+  await fs.writeFile(legacyPath, `---
+default_provider: google
+default_quality: 2k
+---
+`);
+
+  const config = await loadExtendConfig(cwd, home);
+
+  assert.equal(config.default_provider, "google");
+  assert.equal(config.default_quality, "2k");
+  await fs.access(currentPath);
+  await assert.rejects(() => fs.access(legacyPath));
+});
+
+test("loadExtendConfig leaves legacy EXTEND.md untouched when both paths exist", async () => {
+  const root = await makeTempDir("baoyu-imagine-extend-dual-");
+  const cwd = path.join(root, "project");
+  const home = path.join(root, "home");
+  const legacyPath = path.join(cwd, ".baoyu-skills", "baoyu-image-gen", "EXTEND.md");
+  const currentPath = path.join(cwd, ".baoyu-skills", "baoyu-imagine", "EXTEND.md");
+
+  await fs.mkdir(path.dirname(legacyPath), { recursive: true });
+  await fs.mkdir(path.dirname(currentPath), { recursive: true });
+  await fs.mkdir(home, { recursive: true });
+  await fs.writeFile(legacyPath, `---
+default_provider: google
+---
+`);
+  await fs.writeFile(currentPath, `---
+default_provider: openai
+---
+`);
+
+  const config = await loadExtendConfig(cwd, home);
+
+  assert.equal(config.default_provider, "openai");
+  assert.equal(await fs.readFile(legacyPath, "utf8"), `---
+default_provider: google
+---
+`);
+  assert.equal(await fs.readFile(currentPath, "utf8"), `---
+default_provider: openai
+---
+`);
+});
+
 test("mergeConfig only fills values missing from CLI args", () => {
   const merged = mergeConfig(
     makeArgs({
@@ -349,7 +405,7 @@ test("batch worker and provider-rate-limit configuration prefer env over EXTEND
 });
 
 test("loadBatchTasks and createTaskArgs resolve batch-relative paths", async (t) => {
-  const root = await makeTempDir("baoyu-image-gen-batch-");
+  const root = await makeTempDir("baoyu-imagine-batch-");
   t.after(() => fs.rm(root, { recursive: true, force: true }));
 
   const batchFile = path.join(root, "jobs", "batch.json");

skills/baoyu-imagine/scripts/main.ts

@@ -2,7 +2,7 @@ import path from "node:path";
 import process from "node:process";
 import { homedir } from "node:os";
 import { fileURLToPath } from "node:url";
-import { access, mkdir, readFile, writeFile } from "node:fs/promises";
+import { access, mkdir, readFile, rename, writeFile } from "node:fs/promises";
 import type {
   BatchFile,
   BatchTaskInput,
@@ -471,14 +471,49 @@ export function parseSimpleYaml(yaml: string): Partial<ExtendConfig> {
   return config;
 }
 
-async function loadExtendConfig(): Promise<Partial<ExtendConfig>> {
+type ExtendConfigPathPair = {
-  const home = homedir();
+  current: string;
-  const cwd = process.cwd();
+  legacy: string;
+};
 
-  const paths = [
+function getExtendConfigPathPairs(cwd: string, home: string): ExtendConfigPathPair[] {
-    path.join(cwd, ".baoyu-skills", "baoyu-image-gen", "EXTEND.md"),
+  return [
-    path.join(home, ".baoyu-skills", "baoyu-image-gen", "EXTEND.md"),
+    {
+      current: path.join(cwd, ".baoyu-skills", "baoyu-imagine", "EXTEND.md"),
+      legacy: path.join(cwd, ".baoyu-skills", "baoyu-image-gen", "EXTEND.md"),
+    },
+    {
+      current: path.join(home, ".baoyu-skills", "baoyu-imagine", "EXTEND.md"),
+      legacy: path.join(home, ".baoyu-skills", "baoyu-image-gen", "EXTEND.md"),
+    },
   ];
+}
+
+async function exists(filePath: string): Promise<boolean> {
+  try {
+    await access(filePath);
+    return true;
+  } catch {
+    return false;
+  }
+}
+
+async function migrateLegacyExtendConfig(cwd: string, home: string): Promise<void> {
+  for (const { current, legacy } of getExtendConfigPathPairs(cwd, home)) {
+    const [hasCurrent, hasLegacy] = await Promise.all([exists(current), exists(legacy)]);
+    if (hasCurrent || !hasLegacy) continue;
+    await mkdir(path.dirname(current), { recursive: true });
+    await rename(legacy, current);
+  }
+}
+
+export async function loadExtendConfig(
+  cwd = process.cwd(),
+  home = homedir(),
+): Promise<Partial<ExtendConfig>> {
+  await migrateLegacyExtendConfig(cwd, home);
+
+  const paths = getExtendConfigPathPairs(cwd, home).map(({ current }) => current);
 
   for (const p of paths) {
     try {

skills/baoyu-imagine/scripts/providers/azure.test.ts

@@ -136,7 +136,7 @@ test("Azure image generation routes model to deployment and sends mapped quality
 });
 
 test("Azure image edits include quality in multipart requests", async (t) => {
-  const root = await makeTempDir("baoyu-image-gen-azure-");
+  const root = await makeTempDir("baoyu-imagine-azure-");
   t.after(() => fs.rm(root, { recursive: true, force: true }));
 
   const pngPath = path.join(root, "ref.png");

skills/baoyu-imagine/scripts/providers/dashscope.ts

@@ -421,7 +421,7 @@ export async function generateImage(
 
   if (args.referenceImages.length > 0) {
     throw new Error(
-      "Reference images are not supported with DashScope provider in baoyu-image-gen. Use --provider google with a Gemini multimodal model."
+      "Reference images are not supported with DashScope provider in baoyu-imagine. Use --provider google with a Gemini multimodal model."
     );
   }