openclaudia/openclaudia-skills/ai-image-gen

Claude Code and agent skill by openclaudia/openclaudia-skills

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Generate images using AI (OpenAI GPT Image or Stability AI). Use when the user asks to generate an image, create an AI image, make an illustration, or produce artwork from a text prompt.

Install

npx vskill@latest install openclaudia/openclaudia-skills/ai-image-gen

SKILL.md

AI Image Generation

Generate images from text prompts using OpenAI GPT Image (gpt-image-2 / gpt-image-1 / variants) or Stability AI (SD 3.5 Large).

Tool Location

  • Script: ~/.agents/tools/generate-image.py
  • Env file: ~/.agents/tools/.env (contains OPENAI_API_KEY and STABILITY_API_KEY)

Available OpenAI image models (verified live via /v1/models 2026-05-15)

Model IDNotes
gpt-image-2Flagship. Released 2026-04-21. Best prompt adherence, best photorealism. Default when image quality matters.
gpt-image-2-2026-04-21Pinned dated variant of gpt-image-2
gpt-image-1.5Intermediate release between 1 and 2
gpt-image-1-miniSmaller/cheaper gpt-image-1 variant — use for batch/draft generation where cost matters
gpt-image-1Original gpt-image. Still works; superseded by gpt-image-2.
chatgpt-image-latestAlways-current alias of the model ChatGPT.com uses (currently gpt-image-2-class). Use when you want "whatever ChatGPT uses today"
dall-e-3Legacy fallback. Different quality semantics (standard/hd, not low/medium/high).

Pass any of these to --model. The script branches on gpt-image* for the quality/format handling, so all gpt-image-* variants work out of the box.

Default in the script is now `gpt-image-2` (the flagship) — pass --model gpt-image-1-mini for cheap batch/draft work.

Quick Usage

Generate with OpenAI gpt-image-2 (flagship)
bash
python ~/.agents/tools/generate-image.py \
--prompt "a sunset over mountains, oil painting style" \
--output ./sunset.png \
--model gpt-image-2 \
--quality high
Generate with default (gpt-image-2)
bash
python ~/.agents/tools/generate-image.py \
--prompt "a sunset over mountains, oil painting style" \
--output ./sunset.png
High quality
bash
python ~/.agents/tools/generate-image.py \
--prompt "modern logo design for a tech company" \
--output ./logo.png \
--size 1024x1024 \
--quality high
Wide format (good for blog covers, banners)
bash
python ~/.agents/tools/generate-image.py \
--prompt "abstract digital art with blue tones" \
--output ./banner.png \
--size 1536x1024
Tall format (good for mobile, stories)
bash
python ~/.agents/tools/generate-image.py \
--prompt "portrait of a futuristic city" \
--output ./city.png \
--size 1024x1536
Transparent background (icons, logos)
bash
python ~/.agents/tools/generate-image.py \
--prompt "a minimalist cat icon, flat design" \
--output ./icon.png \
--background transparent
Generate with Stability AI (SD 3.5 Large)
bash
python ~/.agents/tools/generate-image.py \
--prompt "watercolor painting of a garden" \
--output ./garden.png \
--provider stability

CLI Options

OptionDescription
--prompt, -p(Required) Text prompt describing the desired image
--output, -o(Required) Output file path
--provideropenai (default) or stability
--sizeImage size for OpenAI: 1024x1024 (default), 1536x1024 (wide), 1024x1536 (tall)
--qualityOpenAI quality: low, medium (default), or high
--backgroundOpenAI background: auto (default), transparent, or opaque
--modelOverride model (default: gpt-image-2 for OpenAI, sd3.5-large for Stability)

Provider Comparison

FeatureOpenAI gpt-image-2OpenAI gpt-image-1Stability AI SD 3.5
Released2026-04-212025—
Prompt adherenceBestExcellentGood
Size options1024x1024, 1536x1024, 1024x15361024x1024, 1536x1024, 1024x15361024x1024
Quality optionslow, medium, highlow, medium, highN/A
Transparent bgYesYesNo
StylePhotorealistic + artisticPhotorealistic + artisticArtistic + photorealistic
Cost per image (high)Higher than 1BaselineN/A

Dependencies

  • requests (for API calls)

Install if needed:

bash
pip install requests

Output

The script prints:

  • The provider and model used
  • The prompt (and revised prompt if applicable)
  • The saved file path

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
428
Repository forks
8
7-day trend score
30

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 16 May 2026, 5 months ago.

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