Sets up a complete Python environment for OpenAlgo indicator analysis with one command. Creates a virtual environment, installs openalgo, plotly, dash, streamlit, numba, yfinance, and charting libraries, then scaffolds your project structure with folders for charts, dashboards, custom indicators, and scanners. It walks you through configuring your OpenAlgo API key and host URL in a .env file, then verifies everything with a quick indicator test. This is the foundation step before you start building custom indicators or dashboards. The openalgo library uses Numba optimization, so expect a brief compilation delay on first run. Good starting point if you're jumping into algorithmic trading analysis and want the boilerplate handled.
npx skills add https://github.com/marketcalls/openalgo-indicator-skills --skill indicator-setup