baoyu-image-gen
The baoyu-image-gen skill provides a unified interface for AI image generation across multiple providers including OpenAI, Azure, Google, OpenRouter, DashScope, Z.AI, MiniMax, Jimeng, Seedream, Replicate, and Agnes. It supports text-to-image generation, reference-based identity preservation, batch processing, and configurable aspect ratios.
Is baoyu-image-gen safe to install?
Review the source first: our audit of baoyu-image-gen's source files found 4 shell commands, 0 external URLs, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes shell commands using bun or npx to run TypeScript scripts. It reads and writes local configuration files (EXTEND.md) and processes local image and prompt files.
How we audit skills: our security review methodology.
Who is this skill for?
Users requiring a command-line interface to generate images using various AI model providers, specifically those needing batch processing or identity preservation from reference images.
What can you do with it?
- Generating images from text prompts
- Preserving identity from reference images in generated outputs
- Batch generating images from prompt files
- Configuring custom aspect ratios and image quality presets
- Managing provider-specific model configurations via local preference files
How good is this skill?
Quality score: 5/10. The skill documentation is comprehensive, providing clear instructions for CLI usage, environment variable configuration, and provider-specific behavior. The separation of concerns between configuration and execution is well-defined.
What does the skill file contain?
# Image Generation (AI SDK) Official API-based image generation. Supports OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope (阿里通义万象), Z.AI GLM-Image, MiniMax, Jimeng (即梦), Seedream (豆包), Replicate and Agnes. ## User Input Tools When this skill prompts the user, follow this tool-selection rule (priority order): 1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent. 2. **Fallback**: if no such tool exists, emit a numbered plain-text message and ask the user to reply ...
Frequently asked questions
How do I configure my preferred image generation provider?
Create an EXTEND.md file in your project or home directory following the schema in references/config/preferences-schema.md, or use CLI flags and environment variables.
Can I use my Codex subscription to generate images?
Yes, use the codex-cli provider with the --provider codex-cli flag, which utilizes the bundled codex-imagegen script.
How does the skill handle identity preservation?
Use the --ref flag to provide source images and include specific identity-preservation language in your prompt to ensure the model maintains the subject's features.
What happens if I do not have an EXTEND.md file?
The skill runs a first-time setup process using AskUserQuestion to collect your provider, model, quality, and save location preferences before generating any images.
Related skills
find-skills
2.3MUsers seeking to extend agent capabilities with specialized tools, workflows, or knowledge packages
The find-skills skill enables agents to search for, discover, and install modular packages from the open agent skills ecosystem using the Skills CLI.
agent-browser
506.7KAI agents and developers requiring programmatic web interaction, exploratory testing, or automation of Electron desktop applications
The agent-browser CLI provides browser automation for AI agents using Chrome or Chromium via CDP. It supports page navigation, form interaction, data extraction, and testing. The tool utilizes accessibility-tree snapshots and element references for interaction.
image-to-video
355.0KDevelopers and users who need to automate video generation from images using the RunComfy platform
The image-to-video skill routes user requests to specific RunComfy animation models based on intent. It selects HappyHorse 1.0 I2V for general animation, Wan 2.7 for custom-voiceover lip-sync, or Seedance 2.0 Pro for multi-modal composition. The skill executes the RunComfy CLI to process inputs and download generated video files.
video-edit
338.7KUsers of the RunComfy CLI who need to automate video editing tasks like restyling, background swapping, or motion transfer
The video-edit skill acts as a router for the RunComfy CLI, selecting between Wan 2.7 Edit-Video, Kling 2.6 Pro Motion Control, and Lucy Edit Restyle models based on user intent to perform video transformations.