What is gemini-imagegen?

An image-generation tool that uses Google Gemini through OpenRouter to create or change images from text prompts or reference images.

Creating pictures or AI art from text, transforming existing photos, and making image-to-image variations.

It gives coding agents a defined way to handle requests for AI-created or edited images without requiring the user to describe the process.

How fltman/create-agentic-product configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to fltman/create-agentic-product. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/fltman/create-agentic-product/main/.claude/skills/gemini-imagegen/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/fltman/create-agentic-product

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/fltman/create-agentic-product/gemini-imagegen/github.svg)](https://agentmods.dev/skills/fltman/create-agentic-product/gemini-imagegen)

Your own site

<a href="https://agentmods.dev/skills/fltman/create-agentic-product/gemini-imagegen"><img src="https://agentmods.dev/badge/skills/fltman/create-agentic-product/gemini-imagegen/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/fltman/create-agentic-product/gemini-imagegen"><img src="https://agentmods.dev/badge/skills/fltman/create-agentic-product/gemini-imagegen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 837 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00049	$0.00837
Opus 5.5	$0.00020	$0.00335
Sonnet 5.5	$0.00010	$0.00167
Haiku 4.5	$0.00005	$0.00084

Measured 2mo ago against content hash 852e62ba0d13, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gemini-imagegen scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate_image.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/gemini-imagegen/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gemini Image Generation

Generate high-quality AI images using Google's Gemini model via OpenRouter API.

Capabilities

Text-to-image: Create images from text descriptions
Image-to-image: Transform existing images based on prompts (style transfer, editing, variations)

Requirements

Before using this skill, ensure:

Python packages are installed:
```
pip install openai python-dotenv
```
API key is set:
```
export OPENROUTER_API_KEY="your-openrouter-api-key"
```
Get your key at: https://openrouter.ai/keys

Usage

Text-to-Image

Generate an image from a text description:

python scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --output garden.png

Image-to-Image

Transform an existing image:

python scripts/generate_image.py --input photo.jpg --prompt "Transform into a watercolor painting style" --output watercolor.png

Script Arguments

Argument	Short	Required	Description
`--prompt`	`-p`	Yes	Text description of the desired image
`--output`	`-o`	No	Output file path (default: `generated_image.png`)
`--input`	`-i`	No	Input image for image-to-image mode
`--model`	`-m`	No	Model ID (default: `google/gemini-3-pro-image-preview`)

Prompt Tips

For best results:

Be specific: Include details about style, lighting, composition, and mood
Reference art styles: "in the style of impressionism", "photorealistic", "anime style"
Describe lighting: "soft morning light", "dramatic shadows", "golden hour"
Include atmosphere: "mysterious", "cheerful", "melancholic"

Example Prompts

Portrait:

A portrait of an elderly fisherman with weathered skin and kind eyes, 
wearing a knit cap, soft natural lighting, shallow depth of field, 
photorealistic style

Landscape:

A misty mountain valley at dawn, pine forests in the foreground, 
snow-capped peaks in the distance, rays of sunlight breaking through 
clouds, epic cinematic composition

Read the full file on GitHub · 119 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 119 lines · 49 tokens per session scan A 852e62ba0d13

Subscribe to this mod's changes

gemini-imagegen is a skill published in the GitHub repository fltman/create-agentic-product (48 stars, last pushed 9d ago), licensed MIT. It adds 49 tokens to every session and 837 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Creative and media

gemini-imagegen next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
gemini-imagegenfltman/create-agentic-product	Skill	48	9d ago	MIT	A	49	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

create-agentic-product: Skill for Claude Code