Use Case
Hyperliquid Prime isn't just for solo use — teams can share skills and build consistent AI workflows across the organization. Trade on Hyperliquid's perp markets (native + HIP-3) with intelligent order routing and cross-market splitting. Use when the user wants to trade crypto, stocks, or commodities on Hyperliquid, get best execution across fragmented markets, split large orders across multiple venues, compare funding rates, view aggregated orderbooks, or manage positions across multiple collateral types. Routes across both native HL perps (ETH, BTC) and HIP-3 deployer markets. Handles collateral swaps (USDC→USDH/USDT0) automatically during execution when the best liquidity requires it. This guide covers how to deploy Hyperliquid Prime for your team, standardize prompts, and create shared workflows that everyone can use.
Install Hyperliquid Prime in your project directory: .claude/skills/hyperliquid-prime/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Hyperliquid Prime in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Hyperliquid Prime
How can my team use Hyperliquid Prime together?
Set up Hyperliquid Prime for our project so everyone can use it
Create a shared workflow using Hyperliquid Prime for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install hyperliquid-primeOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install hyperliquid-prime⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
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/hyperliquid-prime/💡Extract and place the folder at the path above, then restart your agent.