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).
SkillScore75Maintained
Automatic
◆AI Engineer pack
Last verified 8/17/2026
What it changes
Passed 16 of 21 test cases with the skill, and 4 of 21 without it.
Without skill17%
With skill75%
Checks it passed that the model alone missed
Rejects the execution with exit code 4.
Limits the maximum generation count parameter to 5.
Executes 'agy --version' to check CLI installation.
and 12 more in the full report
14 fixed4 passed either way6 still failing0 broke
Pass-rate lift
+58 pp
Tokens
+139%
Agent turns
0%
Response time
-66%
Model gemini-3.6-flashMeasured 8/17/2026v318 of 24 cases passed with skill · 21 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 14
Prompt
Write the command to generate a splash graphic with Pollinations while overriding the vendor model specifically to `zimage`.
What was checked, without and with the skill
Checked
Without skill
With skill
Includes '--model zimage' in the command invocation.
Missed
Passed
case-18 · gemini-3.6-flash · 8/17/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md277 linessingle file
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 vendor, size, quality, count, output directory, and reference images
Authentication/environment state for Codex, Pollinations, or Gemini
Expected outputs
Generated image files under .agents/results/images/ or requested output directory
manifest.json with prompt, vendor, model, and reproducibility metadata
Vendor comparison outputs when --vendor all is used
Dependencies
oma image generate CLI and vendor authentication
Codex image generation, Pollinations API, or Gemini API/CLI strategy
resources/vendor-matrix.md, resources/prompt-tips.md, and the image: section of .agents/oma-config.yaml