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.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install robonet-workbenchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install robonet-workbenchβ 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/robonet-workbench/π‘Extract and place the folder at the path above, then restart your agent.
What Robonet can do for your AI workflow
Robonet's mcp server to build, directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,646+ 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 Robonet
Help me get started with Robonet
Explains what Robonet does, walks through the setup, and runs a quick demo based on your current project
Use Robonet to use Robonet's MCP server to build, backtest, optimize, and deploy t...
Invokes Robonet with the right parameters and returns the result directly in the conversation
What can I do with Robonet in my finance & investment workflow?
Lists the top use cases for Robonet, with example commands for each scenario
Guides & tutorials for AI skills
Robonet extends your AI assistant with the ability to 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. 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 Robonet as its underlying capability.
Robonet 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 Robonet 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.
Robonet installs like any other MCP skill: drop the folder into `~/.claude/skills/robonet-workbench/` for global access, or `.claude/skills/robonet-workbench/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/robonet-workbench`, or let the AI decide when it's the right tool for your request.
Robonet has been installed 1,646 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/robonet-workbench/ for personal use (all projects), or .claude/skills/robonet-workbench/ for project-specific use. Restart your AI client, then invoke with /robonet-workbench or let the AI discover it automatically.
Robonet supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Robonet is free to install. Check the repository for licensing information.
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.
Category
πFinance & InvestmentAutomate my finance & investment tasks using Robonet
Identifies repetitive steps in your workflow and sets up Robonet to handle them automatically
MCP vs traditional plugins: what's the difference?
Robonet is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.