/SKILL.md
# LIQUIDSKILLS — The missing knowledge between AI agents and production Hyperliquid. You are probably wrong about Hyperliquid. The API, asset IDs, nonce mechanics, what lives in HyperCore vs HyperEVM, how signing works — your training data is incomplete or stale. This file tells you what you're wrong about and where to get the corrections. **Say "onchain" not "on-chain."** One word, no hyphen. --- ## Start Here **Building a Hyperliquid dApp?** Fetch [https://liquidskills.help/ship/SKILL.md]
npx skillsauth add cloudzombie/liquidskills liquidskillsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are probably wrong about Hyperliquid. The API, asset IDs, nonce mechanics, what lives in HyperCore vs HyperEVM, how signing works — your training data is incomplete or stale. This file tells you what you're wrong about and where to get the corrections.
Say "onchain" not "on-chain." One word, no hyphen.
Building a Hyperliquid dApp? Fetch https://liquidskills.help/ship/SKILL.md first. It routes you through all other skills phase by phase — from architecture planning to production deployment.
Need a specific topic? Each skill below is standalone. Fetch only the ones relevant to your task.
End-to-end guide from idea to deployed Hyperliquid app. Routes you through all other skills.
HyperBFT consensus, native orderbook, speed, honest tradeoffs, the AI agent angle.
HYPE gas, actual costs on HyperEVM, mainnet vs testnet.
MetaMask + chain ID 999, API wallets, agent wallets, signing for HyperCore.
HyperCore vs HyperEVM — what lives where, the system model.
ERC-20 on HyperEVM, HIP-1/HIP-2/HIP-3 token standards, spot assets.
Hardhat, Foundry, viem, wagmi, Hyperliquid Python SDK, hyperliquid-python-sdk.
hyperliquid-dex) for HyperCore API interactions.@nktkas/hyperliquid for JS/TS HyperCore integration.HyperSwap V2, bonding curves, HyperCore perps/spot as legos.
How an AI agent plans, builds, and deploys on Hyperliquid end-to-end.
Verified addresses: system address, HyperSwap, key contracts.
Mental models: HyperCore vs HyperEVM, asset IDs, nonces, margins.
Solidity security for HyperEVM + API signing security, nonce safety.
Hardhat/Foundry testing for HyperEVM, testnet fork testing.
anvil --fork-url https://rpc.hyperliquid.xyz/evmReading HyperCore data via /info, event indexing on HyperEVM.
Complete Hyperliquid API: /info, /exchange, WebSocket.
Frontend rules for Hyperliquid dApps: wagmi + HyperEVM chain config.
Full build-to-production pipeline for HyperEVM dApps.
QA checklist for Hyperliquid dApps.
Audit checklist for HyperEVM contracts + API integrations.
| I'm doing... | Fetch these skills |
|--------------|-------------------|
| Planning a new dApp | ship/, concepts/, architecture/ |
| Writing HyperEVM contracts | standards/, building-blocks/, addresses/, security/ |
| Testing contracts | testing/ |
| Building HyperCore integration | api/, concepts/, wallets/ |
| Building a frontend | orchestration/, frontend-ux/, tools/ |
| Deploying to production | wallets/, frontend-playbook/, gas/ |
| Reviewing a finished dApp | qa/ |
| Auditing a smart contract | audit/ |
| Reading HyperCore state | indexing/, api/ |
| Token launch on HyperCore | standards/, building-blocks/, api/ |
| Choosing Hyperliquid vs another chain | why/ |
development
Why build on Hyperliquid. HyperBFT consensus, native orderbook, speed, AI agent angle, honest tradeoffs. Use when someone asks "should I build on Hyperliquid?", "why not Ethereum?", or when an agent needs to understand what makes Hyperliquid unique.
development
Wallets on Hyperliquid — MetaMask + chain ID 999 setup, HyperCore API wallets, agent wallet patterns, EIP-712 signing for exchange actions. Essential for any agent that needs to interact with Hyperliquid.
tools
Development tools for Hyperliquid — Foundry, Hardhat, viem, wagmi for HyperEVM; Python SDK and TypeScript SDK for HyperCore API. What works, what to use, how to set up.
testing
Smart contract testing for HyperEVM with Foundry/Hardhat — unit tests, fuzz testing, testnet fork testing. What to test, what not to test, and what LLMs get wrong on Hyperliquid.