Agent skill · Design & Presentation

oma-image

Multi-vendor AI image generation with authentication-aware parallel dispatch. Routes to Codex (gpt-image-2 via ChatGPT OAuth), Antigravity (Gemini-family "nano-banana" image models via `agy` CLI + Gemini Code Assist; exact model chosen internally by agy), and Pollinations (flux/zimage, free with signup). Use for image generation, image creation, visual asset generation, and AI art.

first-flukegithub.com/first-flukeGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add first-fluke/oh-my-agent --skill oma-image --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 16 KB
Bundled scripts: none
Path: .agents/skills/oma-image/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,204
Language: TypeScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Image Agent - Multi-Vendor Image Router ## Scheduling ### Goal Generate images and visual assets through authenticated multi-vendor routing while preserving prompt clarity, reference-image handling, cost controls, and reproducible output manifests. ### Intent signature - User asks to generate images, visual assets, illustrations, product photos, concept art, mockups, or AI art. - Another skill needs shared image-generation infrastructure. - User provides reference images or asks for vendor comparison. ### When to use - Generating images, visual assets, illustrations, product photos, concept art - Comparing output between multiple image models for the same prompt - Producing images from prompts within editor workflows (Claude Code, Codex, Gemini CLI) - Other skills needing image generation infrastructure (shared invocation) ### When NOT to use - Editing an existing image or photo manipulation -> out of scope - Generating videos or audio -> out of scope - Inline vector art / SVG composition from structured data -> use a templating skill - Simple asset resizing or format conversion -> use a dedicated image library ### Expected inputs - Image prompt or creative brief - Optional vendo

What's inside
Steps it walks through
  1. Scheduling
  2. Goal
  3. Intent signature
  4. When to use
  5. When NOT to use
  6. Expected inputs
  7. Expected outputs
  8. Dependencies
  9. Control-flow features
  10. Structural Flow
  11. Entry
  12. Scenes
  13. Transitions
  14. Failure and recovery
Ships with 5 files
  • config/image-config.yaml
  • resources/checklist.md
  • resources/execution-protocol.md
  • resources/prompt-tips.md
  • resources/vendor-matrix.md
Commands it runs
oma image doctor
oma image generate "<prompt>" --vendor auto --size auto --quality auto --format json
oma image generate --reference "<absolute-path>" --vendor codex "<prompt>"
More from oh-my-agent
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About this skill
What does the oma-image skill do?

Multi-vendor AI image generation with authentication-aware parallel dispatch. Routes to Codex (gpt-image-2 via ChatGPT OAuth), Antigravity (Gemini-family "nano-banana" image models via `agy` CLI + Gemini Code Assist; exact model chosen internally by agy), and Pollinations (flux/zimage, free with signup). Use for image generation, image creation, visual asset generation, and AI art.

How do I install it?

Run `npx skills add first-fluke/oh-my-agent --skill oma-image --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From first-fluke/oh-my-agent, a repository with 1,204 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going