Use Case
Stop doing repetitive finance & investment tasks manually. vibetrading-ai-trading-code-generator lets your AI agent handle them automatically through natural conversation. Generate executable Hyperliquid trading strategy code from natural language prompts. Use when a user wants to create automated trading strategies for Hyperliquid exchange based on their trading ideas, technical indicators, or VibeTrading signals. The skill generates complete Python code with proper error handling, logging, and configuration using actual Hyperliquid API wrappers. This guide shows practical examples of using vibetrading-ai-trading-code-generator to automate common finance & investment workflows and save hours every week.
Install vibetrading-ai-trading-code-generator: npx clawhub@latest --dir ~/.claude/skills install vibetrading-code-gen
Identify the repetitive finance & investment tasks you want to automate
Describe the task to your AI in plain English
vibetrading-ai-trading-code-generator will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing vibetrading-ai-trading-code-generator
Automate my finance & investment tasks using vibetrading-ai-trading-code-generator
What repetitive tasks can vibetrading-ai-trading-code-generator handle for me?
Set up a workflow that runs vibetrading-ai-trading-code-generator every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install vibetrading-code-genOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install vibetrading-code-genβ 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/vibetrading-code-gen/π‘Extract and place the folder at the path above, then restart your agent.