Skip to content
Arete
For the complete documentation index optimized for AI agents, see llms.txt or llms-full.txt. A markdown version of this page is available by appending .md to the URL or sending Accept: text/markdown.

AI Tooling Setup

For AI agents: the documentation index is at llms.txt (full corpus: llms-full.txt). A markdown source for this page is /agent-skills/setup-tools.md.

You don’t need to know how to code to build with Arete. AI coding tools can write all the code for you — you just tell them what you want in plain English.

Arete works with any AI coding agent. This guide uses Cursor as the example, but the same steps apply to Claude Code, Windsurf, OpenCode, or any other agent you prefer.

What You’ll Need

Section titled “What You’ll Need”
  • A computer (Mac, Windows, or Linux)
  • An internet connection
  • About 10 minutes

That’s it. No programming experience required.

Step 1: Install Cursor

Section titled “Step 1: Install Cursor”

Cursor is an AI-powered code editor — a good starting point if you don’t already have a tool you prefer.

  1. Go to cursor.sh and download the version for your OS
  2. Open the downloaded file and follow the installation prompts
  3. Launch Cursor and create a free account

Step 2: Create a Project Folder

Section titled “Step 2: Create a Project Folder”

Create a folder for your project and open it in your AI tool.

On Mac: Open Finder, navigate to Documents (or wherever you keep projects), right-click → New Folder, name it my-arete-app, then open it in Cursor via File → Open Folder.

On Windows: Open File Explorer, navigate to Documents, right-click → New → Folder, name it my-arete-app, then open it in Cursor via File → Open Folder.

On Linux / terminal-based tools:

Terminal window
mkdir ~/my-arete-app
cd ~/my-arete-app

Then open the folder in your editor, or start your agent in that directory.

Step 3: Let Your AI Set Up Arete

Section titled “Step 3: Let Your AI Set Up Arete”

Paste this prompt into your AI assistant’s chat:

Read https://docs.arete.run/agent.md and follow the instructions to set up Arete in this project

In Cursor, press Cmd+L (Mac) or Ctrl+L (Windows) to open the AI chat sidebar, paste the prompt, and press Enter. Approve any commands it asks to run.

For terminal-based agents (Claude Code, OpenCode, etc.), just paste it directly and press Enter.

What happens next

Section titled “What happens next”

Your AI will:

  1. Install the Arete CLI — the command-line tool for Arete
  2. Install agent skills — teaching itself how to use Arete correctly
  3. Discover available data — finding out what blockchain data you can access
  4. Be ready to build — waiting for your next instruction

This takes about 1–2 minutes.

Step 4: Scaffold the ORE Template

Section titled “Step 4: Scaffold the ORE Template”

Run this in your terminal to create a working ORE dashboard:

Terminal window
npx @usearete/a4 create my-ore-app --template react-ore
cd my-ore-app
npm install
npm run dev

Open localhost:5173 and you’ll see live ORE mining data streaming from Solana.

Step 5: Customise It With Your AI

Section titled “Step 5: Customise It With Your AI”

Now open the project in Cursor and try this prompt:

I have a Arete ORE dashboard running using the react-ore template. Update the mining grid so each square is coloured as a heatmap based on the amount of SOL deployed to that square — more SOL should glow brighter. Keep the existing dark theme.

Your AI already knows how to use Arete from Step 3 — it will find the right views and update the component for you.

Troubleshooting

Section titled “Troubleshooting”

“Command not found” errors — You may need to install Node.js first. Download the LTS version from nodejs.org, install it, then restart your AI tool and try again.

The AI seems confused — Make sure it completed Step 3. You can re-paste the setup prompt to re-run it.

Next Steps

Section titled “Next Steps”

Build a Dashboard

Follow our step-by-step tutorial to build a complete ORE mining dashboard.

Start tutorial →

Copy-Paste Prompts

Browse our cookbook of ready-to-use prompts for common tasks.

View prompts →