baoyu-image-gen
AI SDK-based image generation using official OpenAI and Google APIs. Supports text-to-image, reference images, aspect ratios, and quality presets.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/smallnest/langgraphgo --skill baoyu-image-gen- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads baoyu-image-gen automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Image Generation (AI SDK)
Official API-based image generation via AI SDK. Supports OpenAI (DALL-E, GPT Image) and Google (Imagen, Gemini multimodal).
Script Directory
Important: All scripts are located in the scripts/ subdirectory of this skill.
Agent Execution Instructions:
- Determine this SKILL.md file's directory path as
SKILL_DIR - Script path =
${SKILL_DIR}/scripts/<script-name>.ts - Replace all
${SKILL_DIR}in this document with the actual path
Script Reference:
| Script | Purpose |
|---|---|
scripts/main.ts | CLI entry point for image generation |
Quick Start
# Basic generation (auto-detect provider)
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 landscape.png --ar 16:9
# High quality (2k)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image cat.png --quality 2k
# Specific provider
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image cat.png --provider openai
# 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
Commands
Basic Image Generation
# Generate with prompt
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A sunset over mountains" --image sunset.png
# Shorthand
npx -y bun ${SKILL_DIR}/scripts/main.ts -p "A cute robot" --image robot.png
Aspect Ratios
# Common ratios: 1:1, 16:9, 9:16, 4:3, 3:4, 2.35:1
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A portrait" --image portrait.png --ar 3:4
# Or specify exact size
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Banner" --image banner.png --size 1792x1024
Reference Images (Google Multimodal)
# Image editing with reference
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make it blue" --image blue.png --ref original.png
# Multiple references
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Combine these styles" --image out.png --ref a.png b.png
Quality Presets
# Normal quality (default)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image cat.png --quality normal
# High quality (2k resolution)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image cat.png --quality 2k
Output Formats
# Plain output (prints saved path)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image cat.png
# JSON output
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image cat.png --json
Options
| Option | Description |
|---|---|
--prompt <text>, -p | Prompt text |
--promptfiles <files...> | Read prompt from files (concatenated) |
--image <path> | Output image path (required) |
--provider google|openai | 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: normal) |
--ref <files...> | Reference images (Google multimodal only) |
--n <count> | Number of images |
--json | JSON output |
--help, -h | Show help |
Environment Variables
| Variable | Description | Default |
|---|---|---|
OPENAI_API_KEY | OpenAI API key | - |
GOOGLE_API_KEY | Google API key | - |
OPENAI_IMAGE_MODEL | OpenAI model | gpt-image-1.5 |
GOOGLE_IMAGE_MODEL | Google model | gemini-3-pro-image-preview |
OPENAI_BASE_URL | Custom OpenAI endpoint | - |
GOOGLE_BASE_URL | Custom Google endpoint | - |
Load Priority: CLI args > process.env > <cwd>/.baoyu-skills/.env > ~/.baoyu-skills/.env
Provider & Model Strategy
Auto-Selection
- If
--providerspecified → use it - If only one API key available → use that provider
- If both available → default to Google (multimodal LLMs more versatile)
API Selection by Model Type
| Model Category | API Function | Example Models |
|---|---|---|
| Google Multimodal | generateText | gemini-2.0-flash-exp-image-generation |
| Google Imagen | experimental_generateImage | imagen-3.0-generate-002 |
| OpenAI | experimental_generateImage | gpt-image-1, dall-e-3 |
Available Models
Google:
gemini-3-pro-image-preview- Default, multimodal generationgemini-2.0-flash-exp-image-generation- Gemini 2.0 Flashimagen-3.0-generate-002- Imagen 3
OpenAI:
gpt-image-1.5- Default, GPT Image 1.5gpt-image-1- GPT Image 1dall-e-3- DALL-E 3
Quality Presets
| Preset | OpenAI | Use Case | |
|---|---|---|---|
normal | 1024x1024 | Default | Covers, illustrations |
2k | 2048x2048 | "2048px" in prompt | Infographics, slides |
Aspect Ratio Handling
- Multimodal LLMs: Embedded in prompt (e.g.,
"... aspect ratio 16:9") - Image-only models: Uses
aspectRatioorsizeparameter - Common ratios: 1:1, 16:9, 9:16, 4:3, 3:4, 2.35:1
Examples
Generate Cover Image
npx -y bun ${SKILL_DIR}/scripts/main.ts \
--prompt "A minimalist tech illustration with blue gradients" \
--image cover.png --ar 2.35:1 --quality 2k
Generate Social Media Post
npx -y bun ${SKILL_DIR}/scripts/main.ts \
--prompt "Instagram post about coffee" \
--image post.png --ar 1:1
Edit Image with Reference
npx -y bun ${SKILL_DIR}/scripts/main.ts \
--prompt "Change the background to sunset" \
--image edited.png --ref original.png --provider google
Batch Generation from Prompt File
# Create prompt file with detailed instructions
npx -y bun ${SKILL_DIR}/scripts/main.ts \
--promptfiles style-guide.md scene-description.md \
--image scene.png
Error Handling
- Missing API key: Clear error with setup instructions
- Generation failure: Auto-retry once, then error
- Invalid aspect ratio: Warning, proceed with default
- Reference images with image-only model: Warning, ignore refs
Extension Support
Custom configurations via EXTEND.md.
Check paths (priority order):
.baoyu-skills/baoyu-image-gen/EXTEND.md(project)~/.baoyu-skills/baoyu-image-gen/EXTEND.md(user)
If found, load before workflow. Extension content overrides defaults.
FAQ
What does the baoyu-image-gen skill do?
AI SDK-based image generation using official OpenAI and Google APIs. Supports text-to-image, reference images, aspect ratios, and quality presets.
How do I install baoyu-image-gen?
Run npx skills add https://github.com/smallnest/langgraphgo --skill baoyu-image-gen in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/baoyu-image-gen/ (personal) or .claude/skills/baoyu-image-gen/ (project).
Which AI agents can use baoyu-image-gen?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is baoyu-image-gen safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains baoyu-image-gen?
It is published by smallnest in smallnest/langgraphgo. It has 42 recorded installs.
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