oma-image

Generate AI images via authenticated Codex, Pollinations, and Gemini providers.

46|2|Updated Mar 23, 2025
One-click install
npx skills add https://github.com/gracefullight/krds --skill oma-image-gracefullight
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oma-image
Source: https://github.com/gracefullight/krds/tree/main/.agents/skills/oma-image
Command: npx skills add https://github.com/gracefullight/krds --skill oma-image-gracefullight

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of generating high-quality AI images reliably across different vendors while handling authentication, references, costs, and reproducible outputs.

Core Features & Use Cases

  • Authentication-aware multi-vendor dispatch: routes image generation to only the vendors that are available and authenticated, with strict behavior for multi-vendor comparisons.
  • Reference-image support: accepts attached/explicit image paths (where supported) and ensures they are forwarded as structured references instead of being re-described.
  • Reproducible output manifests: writes generated images plus a manifest.json capturing prompt, vendor/model, and strategy attempts.
  • Cost and safety guardrails: enforces input validation, cost confirmation at/above a threshold, and clear exit codes for safety, auth, invalid input, and timeouts.
  • Use cases: illustration and concept art, product/marketing visuals, mockups, and A/B vendor comparisons for the same prompt.

Quick Start

Generate an illustration by running oma image generate with your prompt, using automatic vendor selection and default settings.

Frequently Asked Questions about oma-image

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

FAQPage Schema
How do I generate AI images across multiple providers without managing separate API calls?

Multi-vendor image generation routes a single prompt through authenticated providers like Codex, Pollinations, and optionally Gemini, automatically dispatching to available vendors and writing a reproducibility manifest with the output images.

Can I use reference images to guide AI image generation instead of text descriptions?

Reference-image support accepts explicit image paths and forwards them as structured visual references to supported vendors, ensuring the original images are used directly for guidance rather than being re-described as text prompts.

How does prompt amplification work for visual asset creation?

Prompt amplification satisfies prompt clarification requirements by refining and expanding the initial input before dispatching it to provider APIs, ensuring higher quality illustrations, product photos, and AI art outputs.

What's the best way to compare image generation results from different AI vendors?

Multi-vendor routing dispatches the same prompt to multiple authenticated providers with strict comparison behavior, allowing you to A/B test outputs from Codex, Pollinations, and Gemini while controlling sizing, quality, and count limits.

Are there cost guardrails when generating images through multiple AI providers?

Cost and safety guardrails enforce input validation, require cost confirmation at or above a specified threshold, and return clear exit codes for safety, authentication, invalid input, and timeout scenarios during image generation.

Does multi-vendor image generation write reproducible output files?

The generation process writes output images alongside a manifest.json file that captures the original prompt, selected vendor and model, and strategy attempts, ensuring full reproducibility for visual asset creation.