Generate or edit raster images into PNG/WebP bitmap assets.
npx skills add https://github.com/neilsanghrajka/drip --skill imagegen-neilsanghrajka
Please help me install this Agent Skill. Skill: imagegen Source: https://github.com/neilsanghrajka/drip/tree/main/agent/codex-agent/.codex/skills/.system/imagegen Command: npx skills add https://github.com/neilsanghrajka/drip --skill imagegen-neilsanghrajka
Raster image creation and editing often require manual, time-consuming steps; AI-assisted generation speeds up asset creation while ensuring outputs are bitmap assets suitable for web and product visuals.
Provide a concise prompt and let the built-in image_gen tool produce a bitmap asset for your project.
High-intent search queries and answers about installing and using this skill.
You generate raster images by providing a concise prompt to the built-in image generation tool, which outputs bitmap assets like PNG or WebP suitable for website visuals. The skill enforces prompt structure and validates output formats and sizes.
Yes, you can edit existing bitmap images using AI. The skill supports deriving variants from existing assets or references, allowing you to modify current raster images for product mockups and UI assets.
The best way to control AI image generation deterministically is using the built-in image_gen tool or the CLI fallback script. This ensures transparent, advanced control over the bitmap creation process while enforcing prompt structure.
Yes, this skill supports using reference images to create variants. You can provide optional references and scripts to derive new bitmap assets from existing images, ensuring outputs match your project requirements.
The supported output formats for generating raster images are PNG and WebP. The skill validates input and output formats, sizes, and safety constraints to produce bitmap assets for web, app, and marketing visuals.
Limitations include safety constraints and format validations enforced during generation. The skill is scoped to producing bitmap outputs like PNG and WebP, and relies on a probabilistic AI model with a CLI fallback for advanced controls.
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