Agent-Skills.md

Agent Skills: Image Generation (AI SDK)

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.

UncategorizedID: zephyrwang6/myskill/baoyu-image-gen

Repository

zephyrwang6/myskill
zephyrwang6
12941

Install this agent skill to your local

pnpm dlx add-skill https://github.com/zephyrwang6/myskill/tree/HEAD/baoyu-image-gen

Skill Files

Browse the full folder contents for baoyu-image-gen.

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baoyu-image-gen/SKILL.md

Skill Metadata

Name
baoyu-image-gen
Description
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.

Image Generation (AI SDK)

Official API-based image generation. Supports OpenAI, Google and DashScope (阿里通义万象) providers.

Script Directory

Agent Execution:

  1. SKILL_DIR = this SKILL.md file's directory
  2. 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

Options

| 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 (--ref with OpenAI requires GPT Image model, e.g. gpt-image-1.5) | | --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. Supported by Google multimodal and OpenAI edits (GPT Image models). If provider omitted: Google first, then OpenAI | | --n <count> | Number of images | | --json | JSON output |

Environment Variables

| 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 > EXTEND.md > env vars > <cwd>/.baoyu-skills/.env > ~/.baoyu-skills/.env

Provider Selection

  1. --ref provided + no --provider → auto-select Google first, then OpenAI
  2. --provider specified → use it (if --ref, must be google or openai)
  3. Only one API key available → use that provider
  4. Multiple available → default to Google

Quality Presets

| 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

Aspect Ratios

Supported: 1:1, 16:9, 9:16, 4:3, 3:4, 2.35:1

  • Google multimodal: uses imageConfig.aspectRatio
  • Google Imagen: uses aspectRatio parameter
  • 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.