AutoSkill baoyu-image-gen
AI image generation with OpenAI, Google, DashScope and Replicate 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.
git clone https://github.com/ECNU-ICALK/AutoSkill
T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/Common/baoyu-skills/baoyu-image-gen" ~/.claude/skills/ecnu-icalk-autoskill-baoyu-image-gen && rm -rf "$T"
SkillBank/Common/baoyu-skills/baoyu-image-gen/SKILL.mdImage Generation (AI SDK)
Official API-based image generation. Supports OpenAI, Google, DashScope (阿里通义万象) and Replicate providers.
Script Directory
Agent Execution:
= this SKILL.md file's directorySKILL_DIR- Script path =
${SKILL_DIR}/scripts/main.ts
Preferences (EXTEND.md)
Use 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 | Default image size | Default models
Schema:
references/config/preferences-schema.md
Usage
# 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 or OpenAI edits) npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png # With reference images (explicit provider/model) npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --provider google --model gemini-3-pro-image-preview --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 # Replicate (google/nano-banana-pro) npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate # Replicate with specific model npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
Options
| Option | Description |
|---|---|
, | Prompt text |
| Read prompt from files (concatenated) |
| Output image path (required) |
| Force provider (default: google) |
, | Model ID ( with OpenAI requires GPT Image model, e.g. ) |
| Aspect ratio (e.g., , , ) |
| Size (e.g., ) |
| Quality preset (default: 2k) |
| Image size for Google (default: from quality) |
| Reference images. Supported by Google multimodal and OpenAI edits (GPT Image models). If provider omitted: Google first, then OpenAI |
| Number of images |
| JSON output |
Environment Variables
| Variable | Description |
|---|---|
| OpenAI API key |
| Google API key |
| DashScope API key (阿里云) |
| Replicate API token |
| OpenAI model override |
| Google model override |
| DashScope model override (default: z-image-turbo) |
| Replicate model override (default: google/nano-banana-pro) |
| Custom OpenAI endpoint |
| Custom Google endpoint |
| Custom DashScope endpoint |
| Custom Replicate endpoint |
Load Priority: CLI args > EXTEND.md > env vars >
<cwd>/.baoyu-skills/.env > ~/.baoyu-skills/.env
Replicate Model Configuration
When using
--provider replicate, the model can be configured in the following ways (highest priority first):
- CLI flag:
--model <owner/name> - EXTEND.md:
default_model.replicate - Env var:
REPLICATE_IMAGE_MODEL - Built-in default:
google/nano-banana-pro
Supported model formats:
(recommended for official models), e.g.owner/namegoogle/nano-banana-pro
(community models by version), e.g.owner/name:versionstability-ai/sdxl:<version>
Examples:
# Use Replicate default model npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate # Override model explicitly npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider replicate --model google/nano-banana
Provider Selection
provided + no--ref
→ auto-select Google first, then OpenAI, then Replicate--provider
specified → use it (if--provider
, must be--ref
,google
, oropenai
)replicate- Only one API key available → use that provider
- Multiple available → default to Google
Quality Presets
| Preset | Google imageSize | OpenAI Size | Use Case |
|---|---|---|---|
| 1K | 1024px | Quick previews |
(default) | 2K | 2048px | Covers, illustrations, infographics |
Google 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 - Google Imagen: uses
parameteraspectRatio - OpenAI: maps to closest supported size
Generation Mode
Default: 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 complete
Error Handling
- Missing API key → error with setup instructions
- Generation failure → auto-retry once
- Invalid aspect ratio → warning, proceed with default
- Reference images with unsupported provider/model → error with fix hint (switch to Google multimodal or OpenAI GPT Image edits)
Extension Support
Custom configurations via EXTEND.md. See Preferences section for paths and supported options.