What problem does it solve? Turning a text prompt into an actual image file requires juggling multiple provider APIs, keys, and output formats. This Skill wraps OpenAI GPT Image, Google Gemini/Nano Banana, Google Imagen, and fal.ai FLUX behind one consistent command pattern so an agent can produce a real image file and return its path. ## Core Features & Use Cases - Multi-provider generation: Executable UV scripts for OpenAI, Gemini, Imagen, and fal.ai with a shared adapter protocol, common options like --prompt, --output, --model, and --check. - Comparison and review workflow: Run model comparisons with run_examples.py, rank candidates in a local review gallery, and validate the gallery UI with a Playwright-based evaluator. - Local history and privacy controls: Successful generations are logged to a gitignored generations.jsonl, with IMAGE_GEN_DISABLE_HISTORY and IMAGE_GEN_OUTPUT_DIR for sensitive prompts. - Use Case: Ask for a launch poster, and the agent runs generate_gemini.py with a 16:9 aspect ratio, saves the PNG, and renders the resulting image inline. ## Quick Start Generate an image of a cat wearing a top hat and show me the result.