Agent skill · creative production · openclaudia

generate-image

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.

Why this skill is useful

Adds specific CLI commands and model options for generating images using OpenAI and Stability AI that the AI wouldn't reliably generate on its own.

What it needs

Requires python installed locally. Requires openai, stability account access. About 3k tokens when loaded. Last updated 2026-08-07. 620 stars on the source repository.

What this skill does

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 OPENAIAPIKEY and STABILITYAPIKEY) Available OpenAI image models (verified live via /v1/models 2026-05-15) Model ID Notes --- --- gpt-image-2 Flagship. Released 2026-04-21. Best prompt adherence, best photorealism. Default when image quality matters. gpt-image-2-2026-04-21 Pinned dated variant of gpt-image-2 gpt-image-1.5 Intermediate release between 1 and 2 gpt-image-1-mini Smaller/cheaper gpt-image-1 variant — use for batch/draft generation where cost matters gpt-image-1 Original gpt-image. Still works; superseded by gpt-image-2. chatgpt-image-latest Always-current alias of the model ChatGPT.com uses (currently gpt-image-2-class). Use when you want "whatever ChatGPT uses today" dall-e-3 Legacy 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. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills openclaudia/ai-image-gen

View the source on GitHub

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