How to Get Started with Robonet in Your AI Workflow

Robonet is a powerful AI agent skill that extends your assistant with new capabilities. Use Robonet's MCP server to build, backtest, optimize, and deploy trading strategies. Provides 24 specialized tools for crypto and prediction market trading: (1) Data tools for browsing strategies, symbols, indicators, Allora topics, and backtest results, (2) AI tools for generating strategy ideas and code, optimizing parameters, and enhancing with ML predictions, (3) Backtesting tools for testing strategy performance on historical data, (4) Prediction market tools for Polymarket trading strategies, (5) Deployment tools for live trading on Hyperliquid, (6) Account tools for credit management. Use when: building trading strategies, backtesting strategies, deploying trading bots, working with Hyperliquid or Polymarket, or enhancing strategies with Allora Network ML predictions. This guide walks you through installing Robonet, configuring it for your setup, and running your first commands — so you can start getting value in minutes.

Step-by-Step Guide

1. 1

   Install Robonet: npx clawhub@latest --dir ~/.claude/skills install robonet-workbench

2. 2

   Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)

3. 3

   Type a natural language request related to finance & investment to trigger Robonet

4. 4

   Review the output and refine your prompt for better results

5. 5

   Combine Robonet with other skills to build multi-step workflows

Example Prompts

Copy these prompts and use them with your AI agent after installing Robonet

More Use Cases for Robonet