Use LumiBot with Claude Code, Codex, Cursor and VS Code

Claude Code, Codex, Cursor, VS Code and other coding assistants can help you write a LumiBot Strategy, test it on historical data and inspect its trades. The free LumiBot trading skills teach it the framework’s methods, strategy lifecycle and backtesting checks.

Install the skills for local development, then connect the free BotSpot MCP if you want your assistant to use hosted strategy-building and backtesting tools. Connecting is free; hosted features and usage depend on your BotSpot plan.

Step 1: install the trading skills (one command)

The skills live in the public lumibot-trading-skills repository. They cover stocks, ETFs, options, crypto, futures, indicators and AI agents that trade.

Claude Code. Type these inside Claude Code:

/plugin marketplace add Lumiwealth/lumibot-trading-skills
/plugin install lumibot-trading-skills@lumiwealth

Or run the same thing from your shell:

claude plugin marketplace add Lumiwealth/lumibot-trading-skills
claude plugin install lumibot-trading-skills@lumiwealth

Codex, Cursor, Claude Code and other agents. Use the skills command line tool. It needs Node 22 or newer:

npx skills add Lumiwealth/lumibot-trading-skills

Add -g to install for every project, or -a codex, -a cursor or -a claude-code to pick one assistant.

Codex by hand. Codex reads personal skills from ~/.agents/skills:

git clone https://github.com/Lumiwealth/lumibot-trading-skills.git
mkdir -p ~/.agents/skills
cp -R lumibot-trading-skills/skills/* ~/.agents/skills/

Restart your assistant if the skills do not show up right away.

What the skills teach

  • lumibot-strategy-building: start here. Write, fix and backtest any LumiBot strategy.

  • lumibot-api-reference: exact method names, lifecycle methods and working examples.

  • stock-etf-strategies and options-strategies: moving averages, rotation, covered calls, the wheel, spreads and iron condors.

  • lumibot-indicators: SMA, RSI, MACD, Bollinger Bands, and plotting them on the backtest chart.

  • lumibot-ai-agents: strategies where AI agents research and one AI agent trades.

  • fast-lumibot-strategies: faster strategies and big scanners.

  • using-botspot-mcp: building, backtesting and running strategies in the cloud.

See the repository for the current list.

Step 2: connect the free BotSpot MCP

What BotSpot MCP adds

Use Claude, ChatGPT, Codex, Cursor, VS Code or another MCP-compatible assistant? Connect the free BotSpot MCP for:

  • Skills: build LumiBot strategies.

  • Free data: news, economics and SEC filings.

  • Backtests: run tests and read charts.

  • Cloud hosting: low-cost scheduled bots.

  • Community: share bots and discuss trades.

  • Marketplace: discover and publish strategies.

  • Broker linking: connect accounts through BotSpot.

Connect your AI assistant

Step 3: ask for your first strategy

Try one of these:

  • “Build me a moving average strategy for SPY and backtest it.”

  • “Write a covered call strategy on QQQ, backtest the last two years and show me the trades.”

  • “Build an AI trading bot where one agent researches the news and another agent decides whether to buy SPY.”

With only the skills installed, your assistant writes the strategy file and you run it on your machine with pip install lumibot. With the BotSpot MCP connected, it can also run the backtest in the cloud and show you the results.

Placing real trades with your own broker always needs your approval on botspot.trade first. Backtests are simulations and do not promise future returns. These skills teach an AI to write code. They are not investment advice.

Running everything on your own machine

You do not need BotSpot to use LumiBot. Everything in LumiBot runs locally. See Start with LumiBot for a Python backtest, Run your first AI backtest for an AI backtest, and LumiBot for coding agents for the exact starting points a coding assistant should read. Give your LumiBot agents superpowers explains everything the hosted connection adds.