monetlisted

# Monet — Architecture Image Generation Generate architectural visualizations using Google Gemini. Each project has a `monet/` directory with context, style references, structured prompts (JSON or narrative), and auto-versioned results. ## When to Activate - User invokes `/monet` - User asks to generate architectural images or visualizations - User wants to create image prompts for Gemini ## Prerequisites Check Before any generation, verify: 1. Python 3.7+ available 2. Dependencies installed: `google-genai`, `Pillow`, `python-dotenv` 3. `.env` file exists in the working directory (or parent) with `GOOGLE_API_KEY` or `GEMINI_API_KEY` If dependencies are missing, run: ```bash pip install google-genai Pillow python-dotenv ``` If no API key, tell the user: > You need a Gemini API key. Get one at https://aistudio.google.com/apikey > Then create a `.env` file with: `GOOGLE_API_KEY=your-key-here` ## Process ### Phase 1: Understand the Project Check for an existing `monet/` directory in the current working directory. **If `monet/` exists:** 1. Read all files in `monet/context/` — this is the project's knowledge base. It contains source documents the user has added (architecture specs, research notes, briefs, technical descriptions, visual identity guides) that inform prompt writing. 2. View images in `monet/references/types/` — understand what kind of images this project produces 3. View images in `monet/references/styles/` — understand the target aesthetic 4. Check `monet