tessl install github:jimliu/baoyu-skills --skill baoyu-image-gengithub.com/jimliu/baoyu-skills
AI image generation with OpenAI, Google and DashScope APIs. Supports text-to-image, reference images, aspect ratios. Sequential by default; parallel generation available on request. Use when user asks to generate, create, or draw images.
Review Score
93%
Validation Score
14/16
Implementation Score
88%
Activation Score
100%
Official API-based image generation. Supports OpenAI, Google and DashScope (阿里通义万象) providers.
Agent Execution:
SKILL_DIR = this SKILL.md file's directory${SKILL_DIR}/scripts/main.tsUse Bash to check EXTEND.md existence (priority order):
# Check project-level first
test -f .baoyu-skills/baoyu-image-gen/EXTEND.md && echo "project"
# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md" && echo "user"┌──────────────────────────────────────────────────┬───────────────────┐ │ Path │ Location │ ├──────────────────────────────────────────────────┼───────────────────┤ │ .baoyu-skills/baoyu-image-gen/EXTEND.md │ Project directory │ ├──────────────────────────────────────────────────┼───────────────────┤ │ $HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md │ User home │ └──────────────────────────────────────────────────┴───────────────────┘
┌───────────┬───────────────────────────────────────────────────────────────────────────┐ │ Result │ Action │ ├───────────┼───────────────────────────────────────────────────────────────────────────┤ │ Found │ Read, parse, apply settings │ ├───────────┼───────────────────────────────────────────────────────────────────────────┤ │ Not found │ Use defaults │ └───────────┴───────────────────────────────────────────────────────────────────────────┘
EXTEND.md Supports: Default provider | Default quality | Default aspect ratio
# Basic
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image cat.png
# With aspect ratio
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A landscape" --image out.png --ar 16:9
# High quality
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --quality 2k
# From prompt files
npx -y bun ${SKILL_DIR}/scripts/main.ts --promptfiles system.md content.md --image out.png
# With reference images (Google multimodal only)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png
# Specific provider
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider openai
# DashScope (阿里通义万象)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "一只可爱的猫" --image out.png --provider dashscope| Option | Description |
|---|---|
--prompt <text>, -p | Prompt text |
--promptfiles <files...> | Read prompt from files (concatenated) |
--image <path> | Output image path (required) |
--provider google|openai|dashscope | Force provider (default: google) |
--model <id>, -m | Model ID |
--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 (default: from quality) |
--ref <files...> | Reference images (Google multimodal only) |
--n <count> | Number of images |
--json | JSON output |
| Variable | Description |
|---|---|
OPENAI_API_KEY | OpenAI API key |
GOOGLE_API_KEY | Google API key |
DASHSCOPE_API_KEY | DashScope API key (阿里云) |
OPENAI_IMAGE_MODEL | OpenAI model override |
GOOGLE_IMAGE_MODEL | Google model override |
DASHSCOPE_IMAGE_MODEL | DashScope model override (default: z-image-turbo) |
OPENAI_BASE_URL | Custom OpenAI endpoint |
GOOGLE_BASE_URL | Custom Google endpoint |
DASHSCOPE_BASE_URL | Custom DashScope endpoint |
Load Priority: CLI args > env vars > <cwd>/.baoyu-skills/.env > ~/.baoyu-skills/.env
--provider specified → use it| Preset | Google imageSize | OpenAI Size | Use Case |
|---|---|---|---|
normal | 1K | 1024px | Quick previews |
2k (default) | 2K | 2048px | Covers, illustrations, infographics |
Google imageSize: Can be overridden with --imageSize 1K|2K|4K
Supported: 1:1, 16:9, 9:16, 4:3, 3:4, 2.35:1
imageConfig.aspectRatioaspectRatio parameterDefault: Sequential generation (one image at a time). This ensures stable output and easier debugging.
Parallel Generation: Only use when user explicitly requests parallel/concurrent generation.
| Mode | When to Use |
|---|---|
| Sequential (default) | Normal usage, single images, small batches |
| Parallel | User explicitly requests, large batches (10+) |
Parallel Settings (when requested):
| Setting | Value |
|---|---|
| Recommended concurrency | 4 subagents |
| Max concurrency | 8 subagents |
| Use case | Large batch generation when user requests parallel |
Agent Implementation (parallel mode only):
# Launch multiple generations in parallel using Task tool
# Each Task runs as background subagent with run_in_background=true
# Collect results via TaskOutput when all completeCustom configurations via EXTEND.md. See Preferences section for paths and supported options.