Gemini Image Gen

What it does

When your agent uses it

• Generating images
• Creating visual content
• Implementing text-to-image features

Example prompts

• “/gemini-image-gen”

Requirements

• Python 3
• A credential in GEMINI_API_KEY
• Pre-approved tools (allowed-tools): Bash, Read, Write

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

1. 1Process environment: export GEMINI_API_KEY="your-key"
2. 2Skill directory: .claude/skills/gemini-image-gen/.env
3. 3Project directory: ./.env (project root)

What it can do on your machine

Read from SKILL.md and the folder at commit c6c0686. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Bash
  • Read
  • Write

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 1 file in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • python
  • pip

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • aistudio.google.com
  • ai.google.dev

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • GEMINI_API_KEY

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Gemini Image Gen loads about 1.8k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 504 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~85

When it runs · the whole SKILL.md, loaded when a task matches

~1.8k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~15k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NoteMentions a .env fileSKILL.md:32

  tory**: `.claude/skills/gemini-image-gen/.env`

• NoteMentions a .env fileSKILL.md:33

  3. **Project directory**: `./.env` (project root)

• NoteMentions a .env fileSKILL.md:37

  Create `.env` file with:

• NoteMentions a .env fileSKILL.md:224

  # Verify .env file exists

• NoteMentions a .env fileSKILL.md:225

  cat .claude/skills/gemini-image-gen/.env

• NoteMentions a .env fileSKILL.md:227

  cat .env

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Bash, Read, Write

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from einverne/dotfiles at commit c6c0686, republished under its MIT licence (© einverne). 504 words, ~1,801 tokens.

name

gemini-image-gen

description

Guide for implementing Google Gemini API image generation - create high-quality images from text prompts using gemini-2.5-flash-image model. Use when generating images, creating visual content, or implementing text-to-image features. Supports text-to-image, image editing, multi-image composition, and iterative refinement.

allowed-tools

Bash, Read, Write

license

MIT

version

1.0.0

GEMINI_API_KEY=your_api_key_here

pip install google-genai

from google import genai
from google.genai import types
import os

# API key detection handled automatically by helper script
client = genai.Client(api_key=os.getenv('GEMINI_API_KEY'))

response = client.models.generate_content(
    model='gemini-2.5-flash-image',
    contents='A serene mountain landscape at sunset with snow-capped peaks',
    config=types.GenerateContentConfig(
        response_modalities=['image'],
        aspect_ratio='16:9'
    )
)

# Save to ./docs/assets/
for i, part in enumerate(response.candidates[0].content.parts):
    if part.inline_data:
        with open(f'./docs/assets/generated-{i}.png', 'wb') as f:
            f.write(part.inline_data.data)

# Generate single image
python .claude/skills/gemini-image-gen/scripts/generate.py \
  "A futuristic city with flying cars" \
  --aspect-ratio 16:9 \
  --output ./docs/assets/city.png

# Generate with specific modalities
python .claude/skills/gemini-image-gen/scripts/generate.py \
  "Modern architecture design" \
  --response-modalities image text \
  --aspect-ratio 1:1

import PIL.Image

img = PIL.Image.open('original.png')
response = client.models.generate_content(
    model='gemini-2.5-flash-image',
    contents=[
        'Add a red balloon floating in the sky',
        img
    ]
)

img1 = PIL.Image.open('background.png')
img2 = PIL.Image.open('foreground.png')

response = client.models.generate_content(
    model='gemini-2.5-flash-image',
    contents=[
        'Combine these images into a cohesive scene',
        img1,
        img2
    ]
)

config = types.GenerateContentConfig(
    response_modalities=['image'],
    safety_settings=[
        types.SafetySetting(
            category=types.HarmCategory.HARM_CATEGORY_HATE_SPEECH,
            threshold=types.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE
        )
    ]
)

# Create directory if needed
mkdir -p ./docs/assets

# Check environment variables
echo $GEMINI_API_KEY

# Verify .env file exists
cat .claude/skills/gemini-image-gen/.env
# or
cat .env

© einverne, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (scripts, references) in claude/skills/gemini-image-gen of einverne/dotfiles.

• SKILL.md
• .env.example
• README.md
• SKILL_CREATION_SUMMARY.md
• references/api-reference.md
• references/code-examples.md
• references/prompting-guide.md
• references/safety-settings.md
• scripts/generate.py

Open the folder on GitHubat commit c6c0686