Use Case
Trading DevBox isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Trading strategy development sandbox. User describes trading intent in natural language, agent writes a Python backtest strategy and returns results. This guide covers how to deploy Trading DevBox for your team, standardize prompts, and create shared workflows that everyone can use.
Install Trading DevBox in your project directory: .claude/skills/trading-devbox/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Trading DevBox in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Trading DevBox
How can my team use Trading DevBox together?
Set up Trading DevBox for our project so everyone can use it
Create a shared workflow using Trading DevBox for our team
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.