Trading strategy development sandbox. User describes trading intent in natural language, agent writes a Python backtest strategy and returns results.
Data sourced from ClawHub. View on ClawSkills
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.
Category
πFinance & InvestmentPlatforms
What Trading DevBox can do for your AI workflow
Trading strategy development directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,294+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Trading DevBox
Help me get started with Trading DevBox
Explains what Trading DevBox does, walks through the setup, and runs a quick demo based on your current project
Use Trading DevBox to trading strategy development sandbox
Invokes Trading DevBox with the right parameters and returns the result directly in the conversation
What can I do with Trading DevBox in my finance & investment workflow?
Lists the top use cases for Trading DevBox, with example commands for each scenario
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Trading DevBox extends your AI assistant with the ability to trading strategy development sandbox. User describes trading intent in natural language, agent writes a Python backtest strategy and returns results. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Trading DevBox as its underlying capability.
Trading DevBox works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Trading DevBox once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Trading DevBox installs like any other MCP skill: drop the folder into `~/.claude/skills/trading-devbox/` for global access, or `.claude/skills/trading-devbox/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/trading-devbox`, or let the AI decide when it's the right tool for your request.
Trading DevBox has been installed 2,294 times, making it one of the more actively used skills in the Finance & Investment category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/trading-devbox/ for personal use (all projects), or .claude/skills/trading-devbox/ for project-specific use. Restart your AI client, then invoke with /trading-devbox or let the AI discover it automatically.
Trading DevBox supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Trading DevBox is free to install. Check the repository for licensing information.
Trading strategy development sandbox. User describes trading intent in natural language, agent writes a Python backtest strategy and returns results.
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Trading
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Trading Research
Automate my finance & investment tasks using Trading DevBox
Identifies repetitive steps in your workflow and sets up Trading DevBox to handle them automatically
Trading DevBox is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.
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