skills.rest
p-potvin
p-potvinCOMMUNITY
Explore all skills by this author →
GitHub

imagegen

Generate and edit raster bitmap images with save-path and validation policies.

1|Updated Apr 4, 2026
Search Tags:#image-generation#prompt-engineering#image-editing#asset-management#inpainting#cli-fallback
One-click install
npx skills add https://github.com/p-potvin/vaultwares-pipelines --skill imagegen-p-potvin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: imagegen
Source: https://github.com/p-potvin/vaultwares-pipelines/tree/main/.github/agents/codex/.system/imagegen
Command: npx skills add https://github.com/p-potvin/vaultwares-pipelines --skill imagegen-p-potvin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, pillow, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill removes uncertainty from creating and editing raster bitmap images by providing a clear decision tree, prompt scaffolding, and safe file-management policies so teams can generate project-ready visuals without losing provenance or accidentally overwriting assets.

Core Features & Use Cases

  • Built-in tool-first workflow for normal generation and editing tasks with an explicit CLI fallback for advanced, file-path or batch scenarios.
  • Structured prompt schema and taxonomy to convert vague requests into production-ready specifications for photorealistic renders, product mockups, UI assets, illustrations, and targeted edits such as inpainting or background extraction.
  • Practical save-path and non-destructive edit policies that ensure generated assets are moved into the workspace when intended, preserve originals, and report final saved paths and prompts.
  • Use case: produce a set of hero image variants for a landing page, iterate with single targeted changes, validate composition and text, then copy the selected final into the project repository.

Quick Start

Generate a photorealistic product hero image of a ceramic mug with soft studio lighting, no logos, and usable negative space for headline copy.

Frequently Asked Questions about imagegen

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate photorealistic product mockups and UI assets from text prompts?▼

Generating photorealistic product mockups requires structured prompt scaffolding that converts vague requests into production-ready specifications. This tool applies a taxonomy to define lighting, composition, and negative space, then validates each generated asset.

Can I batch generate image variants and apply targeted inpainting to existing files?▼

Batch variant generation and targeted inpainting are supported through an explicit CLI fallback. This workflow requires an OPENAI_API_KEY to process specific file paths, apply localized edits, and extract backgrounds while preserving original assets.

Do I need an OpenAI API key to edit raster bitmap images and save them to my project repository?▼

An OpenAI API key is required for the CLI fallback used in advanced file-path and batch scenarios, while normal generation uses a built-in tool. Safe file-management policies ensure generated assets are moved into your workspace without accidental overwrites.

What is the best way to ensure generated assets maintain provenance and safe save-path policies?▼

Maintaining asset provenance requires non-destructive edit policies that preserve originals and report final saved paths alongside prompts. This approach ensures project-ready visuals are moved into the workspace only when intended, preventing accidental data loss.

Why does image generation require a decision tree and explicit prompt taxonomy?▼

Image generation requires a decision tree and prompt taxonomy to remove uncertainty from the creation process. Structured schemas ensure that requests for illustrations or UI assets are converted into explicit specifications before rendering begins.

Related Skills

Explore More Design & Creative Skills→
erichugyerichugy

imagegen

Generate and edit raster bitmap images for web, game, and UI assets.

Community
Advanced
aryan-binaziraryan-binazir

imagegen

Generate and edit raster images with AI-driven bitmap visuals.

Community
Advanced
BasitShafiqBasitShafiq

photo-editor

Edit, resize, crop, filter, and optimize images using Python and Node.js libraries.

Community
Intermediate
LynxLabVNLynxLabVN

stable-diffusion-image-generation

Convert text descriptions into high-resolution images using Stable Diffusion models.

Official
Advanced