image-gen

Automate image generation and editing via OpenRouter with vision-enabled models.

15|1|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/buildoak/fieldwork-skills --skill image-gen-buildoak
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-gen
Source: https://github.com/buildoak/fieldwork-skills/tree/main/skills/image-gen
Command: npx skills add https://github.com/buildoak/fieldwork-skills --skill image-gen-buildoak

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Image generation and editing workflows are complex and error-prone; this skill encapsulates end-to-end runbooks for consistent results via OpenRouter, GPT-5 Image, or NanoBanana, with presets, references, and on-demand scripts.

Core Features & Use Cases

  • Supports text-to-image and image editing with multiple models and style references.
  • Includes a preset system to ensure visual consistency across a series of images.
  • Provides an integrated quick-start and references for installation and troubleshooting.

Quick Start

Instruct the agent to generate an image using a chosen model and prompt, optionally supplying a style reference to anchor visuals.

Frequently Asked Questions about image-gen

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

FAQPage Schema
How do I automate image generation with consistent styles across multiple prompts?

Automate image generation with consistent styles by using a preset system that anchors visual outputs. This skill applies preset-based styling and style references to OpenRouter models, ensuring repeatable visual consistency across varied prompts and creative illustrations.

Can I use style references for image editing in a zero-dependency CLI workflow?

Style references work with image editing in a zero-dependency CLI workflow by leveraging vision-enabled models through OpenRouter. This skill supports text-to-image and image editing, anchoring visuals with supplied references for rapid concept exploration and branding.

What's the best way to handle errors and estimate costs for OpenRouter image generation?

Handle errors and estimate costs for OpenRouter image generation using robust error handling and deterministic cost estimates. This skill encapsulates end-to-end runbooks that provide reliable outputs with deterministic naming and integrated troubleshooting references.

Does this image generation approach support GPT-5 Image and NanoBanana models?

This image generation approach supports GPT-5 Image and NanoBanana models via OpenRouter. It applies vision-enabled models for text-to-image generation and editing, applying prompt enhancements and quality review for consistent results.

Why do my image generation prompts produce inconsistent outputs across a series?

Inconsistent image generation outputs occur when prompts lack preset-based styling and structured prompt engineering. This skill provides a preset system and prompt enhancements to ensure visual consistency, robust error handling, and repeatable results across varied prompts.