Use Case
Trading DevBox is a powerful AI agent skill that extends your assistant with new capabilities. Trading strategy development sandbox. User describes trading intent in natural language, agent writes a Python backtest strategy and returns results. This guide walks you through installing Trading DevBox, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Trading DevBox: npx clawhub@latest --dir ~/.claude/skills install trading-devbox
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to finance & investment to trigger Trading DevBox
Review the output and refine your prompt for better results
Combine Trading DevBox with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Trading DevBox
Help me get started with Trading DevBox
What can Trading DevBox do for my finance & investment workflow?
Show me an example of using Trading DevBox
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install trading-devboxOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install trading-devboxβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/trading-devbox/π‘Extract and place the folder at the path above, then restart your agent.