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Image Generate

  • 787 installs
  • skills.volces.com

image-generate is an agent skill that lets your coding agent create, iterate on, and insert images into projects using natural language prompts.

About

image-generate is an agent skill that connects your AI coding assistant to image generation models so you can request, refine, and incorporate visuals without leaving your editor. Whether you need hero images, UI mockups, diagrams, marketing assets, or illustrative content, the skill lets your agent handle the full loop: prompt crafting, generation, review, and code integration. It removes context-switching between design tools and your codebase, letting one person move faster from idea to polished product. Ideal for indie hackers, solo founders, and small teams that want high-quality visuals without hiring a designer for every asset.

  • Agent-controlled image generation from natural language prompts
  • Seamless integration with Claude Code, Cursor, and similar agents
  • Supports iterative refinement of visuals within your workflow
  • Outputs production-ready image assets and embedding code
  • 720 developers have installed this skill

Image Generate by the numbers

  • 787 all-time installs (skills.sh)
  • +10 installs in the week ending Jul 27, 2026 (Skillselion tracking)
  • Ranked #318 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Data as of Jul 27, 2026 (Skillselion catalog sync)
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Installs787
Repositoryskills.volces.com

What it does

Let their coding agent generate, iterate on, and insert images directly into projects, docs, and user interfaces.

Who is it for?

Best when you want your AI coding agent to handle visual asset creation as part of the development workflow.

Skip if: Skip if you already have dedicated designers or prefer using standalone design tools outside the code environment.

When should I use this skill?

When you need your coding agent to create or iterate on images as part of building, documenting, or marketing a product.

What you get

Your agent produces the exact images you described and adds them to your codebase or docs so you can continue building without leaving your editor.

  • Generated image files
  • Code snippets or components that embed the images

By the numbers

  • 720 installs

Files

SKILL.mdMarkdownGitHub ↗

Image Generate Skill

This skill generates images using Doubao Seedream 4.0/4.5/5.0 models.

Trigger Conditions

1. User wants to generate images from text descriptions 2. User wants to create images based on reference images 3. User asks for image generation capabilities

Usage

Environment Variables

Before using this skill, ensure the following environment variables are set:

  • ARK_API_KEY or MODEL_IMAGE_API_KEY or MODEL_AGENT_API_KEY: API key for the image generation service
  • MODEL_IMAGE_API_BASE: API base URL (optional, has default)
  • MODEL_IMAGE_NAME: Model name (optional, has default)

Function Signature

async def image_generate(
    tasks: list[dict],
    timeout: int = 600,
    model_name: str = None,
) -> Dict:

Parameters

tasks (list[dict])

A list of image-generation tasks. Each task is a dict with the following fields:

Required:

  • prompt (str): Text description of the desired image(s). Chinese or English both work.

To specify the number of images, add "生成N张图片" in the prompt.

Optional:

  • size (str): Image size. Two formats:
  • Resolution level: "1K", "2K", "4K"
  • Exact dimensions: "<width>x<height>", e.g., "2048x2048", "2384x1728"
  • Default: "2048x2048"
  • response_format (str): Return format. "url" (default, URL expires in 24h) or "b64_json"
  • watermark (bool): Add watermark. Default: true
  • image (str | list[str]): Reference image(s) as URL or Base64
  • For single image tasks: pass a string (exactly 1 image)
  • For group image tasks: pass an array (2-10 images)
  • sequential_image_generation (str): Control group image generation. Default: "disabled"
  • Set to "auto" to generate multiple images
  • max_images (int): Maximum number of images for group generation. Range [1, 15]
  • tools (list[dict]): Tool configuration, e.g., [{"type": "web_search"}]
  • output_format (str): Output format. "png" or "jpeg". Default: "jpeg"

Task Types

The model infers the task type from parameters:

1. Text to Single Image: No image, sequential_image_generation not set or "disabled" 2. Text to Group Images: No image, sequential_image_generation="auto" 3. Single Image to Single Image: image=string, sequential_image_generation not set or "disabled" 4. Single Image to Group Images: image=string, sequential_image_generation="auto" 5. Multi Image to Single Image: image=array (2-10), sequential_image_generation not set or "disabled" 6. Multi Image to Group Images: image=array (2-10), sequential_image_generation="auto"

Return Value

Script Return Info

The image_generate.py script will return these info:

{
    "status": "success" | "error",
    "success_list": [{"name": "image_name", "url": "image_url", "local_path": "local_path"}],
    "error_list": ["image_name"],
    "error_detail_list": [{"task_idx": 0, "error": {...}}]
}

Based on the script return info, the final response returned to the user consists of a description of the image generation task and the image URL(s) and local path(s). You may download the image from the URL, but the image URL should still be provided to the user for viewing and downloading.

Note: the URL is the 'url' in the success_list of script return info.

Final Return Info

You should return three types of information: 1. File format, return the image file (if you have some other methods to send the image file) and the local path of the image, for example: local_path: /root/.openclaw/workspace/skills/image-generate/xxx.png 2. After generation, show list of images with Markdown format, for example:

      ![generated-image-1](https://example.com/image1.png)
      ![generated-image-2](https://example.com/image2.png)

Code Implementation

See scripts/image_generate.py for the full implementation.

Example Usage

# Text to single image
python scripts/image_generate.py -p "A beautiful sunset over the ocean" -s 2048x2048

# Text to group images (generate 3 images)
python scripts/image_generate.py -p "生成3张可爱的小猫图片" -s 2K -g --max-images 3

# Image to image
python scripts/image_generate.py -p "Convert this image to anime style" -i "https://example.com/image.jpg"

# Multi-image to group images
python scripts/image_generate.py -p "Combine these images into a collage" --images "https://example.com/img1.jpg" "https://example.com/img2.jpg" -g --max-images 5

# Use specific model
python scripts/image_generate.py -p "A futuristic city" -m doubao-seedream-5-0-260128

# No watermark
python scripts/image_generate.py -p "A beautiful landscape" --no-watermark

# Output as PNG
python scripts/image_generate.py -p "A portrait photo" --output-format png

Command Line Options

OptionShortDescription
--prompt-pText description of the desired image(s) (required)
--size-sImage size (default: 2048x2048)
--model-mModel name (default: doubao-seedream-4-0-250828)
--image-iSingle reference image URL
--imagesMultiple reference image URLs (space-separated)
--group-gEnable group image generation
--max-imagesMax images for group generation (default: 15)
--output-formatOutput format: png or jpeg (default: jpeg)
--timeout-tTimeout in seconds (default: 600)
--no-watermarkDisable watermark

Model Fallback

If you encounter a model-related error (like ModelNotOpen), you can downgrade to these models:

  • doubao-seedream-5-0-260128
  • doubao-seedream-4-5-251128
  • doubao-seedream-4-0-250828

Error Handling

  • IF the script raises the error "PermissionError: ARK_API_KEY or MODEL_IMAGE_API_KEY or MODEL_AGENT_API_KEY not found in environment variables", inform the user that they need to provide the ARK_API_KEY or MODEL_IMAGE_API_KEY or MODEL_AGENT_API_KEY environment variable. Write it to the environment variable file in the workspace. If the file already exists, append it to the end. Ensure the environment variable format is correct, make the environment variable effective, and retry the image generation task that just failed.

Notes

  • Group image tasks require sequential_image_generation="auto"
  • To specify the number of group images, add the count in the prompt (e.g., "生成3张图片")
  • Recommended sizes: 2048x2048 or standard aspect ratios for best quality
  • URL responses expire in 24 hours

Related skills

How it compares

Use instead of manually exporting from Midjourney or DALL-E and copying files into your project.

FAQ

Who is image-generate for?

Developers and developers who use Claude Code, Cursor, or similar agents and want their AI coding assistant to generate images as part of the development process.

When should I use image-generate?

Use it when you need hero images for a landing page, UI illustrations, product mockups, explanatory diagrams, social media visuals, or any time your agent must produce or embed graphics inside a project.

Is image-generate safe to install?

Users should review the Security Audits panel on this page before installing. The skill has 720 installs.

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