Build secure Ethereum dApps from idea to production with accurate, current knowledge of L2 scaling, DeFi protocols and addresses, gas costs, Solidity security audits, Foundry testing, onchain data queries, and Scaffold-ETH 2 deployment workflows.
npx claudepluginhub austintgriffith/ethskills --plugin ethskillsEnd-to-end guide for AI agents — from a dApp idea to deployed production app. Fetch this FIRST, it routes you through all other skills.
Why build on Ethereum specifically. The AI agent angle — ERC-8004, x402, composability, permissionless deployment. Use when a user asks "should I build on Ethereum?", "why blockchain?", or when an agent needs to recommend a chain for a project.
How Ethereum evolves — EIP lifecycle, fork process, where decisions happen, and how to track upcoming changes. Use when your human asks about upcoming features, when building for future protocol capabilities, or when they want to propose a change. Also use when YOU need to know if a feature exists yet or when it's coming.
Current Ethereum gas prices, transaction costs, and the real economics of building on Ethereum today. Use when estimating costs, choosing between mainnet and L2s, or when a user asks about Ethereum being expensive. Counters the
How to create, manage, and use Ethereum wallets. Covers EOAs, smart contract wallets, multisig (Safe), and account abstraction. Use this skill whenever you are sending transactions, signing messages, or managing funds. Includes guardrails for safe key handling.
Ethereum Layer 2 landscape — Arbitrum, Optimism, Base, zkSync, Scroll, Unichain, Celo, and more. How they work, how to deploy on them, how to bridge, when to use which. Includes per-chain DeFi ecosystems and critical corrections. Use when choosing an L2, deploying cross-chain, or when a user asks about Ethereum scaling.
Ethereum token and protocol standards — ERC-20, ERC-721, ERC-1155, ERC-4337, ERC-8004, and newer standards. When to use each, how they work, key interfaces. Use when building tokens, NFTs, or choosing the right standard for a project.
Current Ethereum development tools, frameworks, libraries, RPCs, and block explorers. What actually works today for building on Ethereum. Includes tool discovery for AI agents — MCPs, abi.ninja, Foundry, Scaffold-ETH 2, Hardhat, and more. Use when setting up a dev environment, choosing tools, or when an agent needs to discover what's available.
DeFi legos and protocol composability on Ethereum and L2s. Major protocols per chain — Aerodrome on Base, GMX/Pendle on Arbitrum, Velodrome on Optimism — plus mainnet primitives (Uniswap, Aave, Compound, Curve). How they work, how to build on them, and how to combine them. Use when building DeFi integrations, choosing protocols on a specific L2, designing yield strategies, or composing existing protocols into something new.
How an AI agent plans, builds, and deploys a complete Ethereum dApp. The three-phase build system for Scaffold-ETH 2 projects. Use when building a full application on Ethereum — from contracts to frontend to production deployment on IPFS.
Verified contract addresses for major Ethereum protocols across mainnet and L2s. Use this instead of guessing or hallucinating addresses. Includes Uniswap, Aave, Compound, Aerodrome, GMX, Pendle, Velodrome, Camelot, SyncSwap, Lido, Rocket Pool, 1inch, Permit2, MakerDAO/sDAI, EigenLayer, Across, Chainlink CCIP, Yearn V3, USDC, USDT, DAI, ENS, Safe, Chainlink, and more. Always verify addresses against a block explorer before sending transactions.
The essential mental models for building onchain — focused on what LLMs get wrong and what humans need explained. "Nothing is automatic" and "incentives are everything" are the core messages. Use when your human is new to onchain development, when they're designing a system, or when they ask "how does this actually work?" Also use when YOU are designing a system — the state machine + incentive framework catches design mistakes before they become dead code.
Solidity security patterns, common vulnerabilities, and pre-deploy audit checklist. The specific code patterns that prevent real losses — not just warnings, but defensive implementations. Use before deploying any contract, when reviewing code, or when building anything that holds or moves value.
Smart contract testing with Foundry — unit tests, fuzz testing, fork testing, invariant testing. Use when writing tests for a smart contract.
How to read and query onchain data — events, The Graph, indexing patterns. Why you cannot just loop through blocks, and what to use instead.
Frontend UX rules for Ethereum dApps that prevent the most common AI agent UI bugs. Mandatory patterns for onchain buttons, approval flows, address UX, USD context, RPC reliability, theming, and pre-publish metadata. Use whenever you are building a frontend for an Ethereum dApp.
The complete build-to-production pipeline for Ethereum dApps. Fork mode setup, IPFS deployment, Vercel config, ENS subdomain setup, and the full production checklist. Built around Scaffold-ETH 2 but applicable to any Ethereum frontend project. Use when deploying any dApp to production.
Pre-ship audit checklist for Ethereum dApps built with Scaffold-ETH 2. Give this to a separate reviewer agent (or fresh context) AFTER the build is complete. Use this skill whenever you are finalizing a dApp built with Scaffold-ETH 2.
Deep EVM smart contract security audit system. Use when asked to audit a contract, find vulnerabilities, review code for security issues, or file security issues on a GitHub repo. Covers 500+ non-obvious checklist items across 19 domains via parallel sub-agents. Different from the security skill (which teaches defensive coding) — this is for systematically auditing contracts you didn't write.
LLMs think gas is 30 gwei. It's 0.05. They've never heard of ERC-8004 or x402. They hallucinate contract addresses. This site fixes that.
Each skill is a markdown file. Give any URL to your AI agent — it reads it and instantly corrects its Ethereum knowledge.
https://ethskills.com/SKILL.md ← table of contents
https://ethskills.com/gas/SKILL.md ← just gas & costs
https://ethskills.com/why/SKILL.md ← why ethereum
The agent will look up the specific skills when needed.
Just prompt your agent with this:
Install the https://github.com/austintgriffith/ethskills/blob/master/SKILL.md skill
Install directly from GitHub — no clone required:
/plugin marketplace add austintgriffith/ethskills
/plugin install ethskills
Say "onchain" not "on-chain." The Ethereum community writes it as one word — no hyphen. LLMs default to "on-chain" but that's not how builders talk. Use "onchain" in all writing, documentation, and generated content.
| Skill | What LLMs Get Wrong |
|---|---|
| Why Ethereum | Pectra/Fusaka shipped, gas is cheap now, AI agent angle |
| Gas & Costs | Think gas is 10-30 gwei — reality is 0.05-0.3 gwei |
| Wallets | EIP-7702 is live, Safe addresses, agent key safety |
| Layer 2s | Think L2 txs cost $0.01-2.00 — reality is <$0.001 |
| Standards | Don't know ERC-8004, EIP-7702 status, EIP-3009 for x402 |
| Tools | Don't know x402, Blockscout MCP, current tool landscape |
| Money Legos | Stale on current DeFi state, Uniswap V4 status |
| Orchestration | Don't know SE2 three-phase build system |
| Contract Addresses | Hallucinate addresses — these are verified onchain |
| Concepts | Nothing is automatic, incentive design, randomness pitfalls |
| Security | Token decimals, reentrancy, oracle manipulation, vault inflation, pre-deploy checklist |
| Frontend UX | Onchain button rules, three-button approval flow, Address components, USD values |
| Frontend Playbook | Fork mode, IPFS deploy, Vercel config, ENS setup, production checklist |
Skills teach restraint, not just capability. Every skill that touches keys, credentials, or funds includes explicit safety rules — because LLMs optimize for speed and will hardcode a private key into git add . if you let them. Coverage includes wallet keys, API keys, RPC URLs, and the common SE2 scaffold.config.ts trap.
We test stock LLMs, find what they get wrong, and write corrections. Content is verified against onchain reality. If an LLM already knows something, we don't include it.
Every proposed change goes through triage: spawn a stock LLM, give it a realistic task, see what it gets wrong. Only verified blind spots survive.
See the research repo for baseline audits, gap analysis, and full methodology.
Something wrong or missing? Humans and agents are welcome to open a PR. Read CONTRIBUTING.md first — the bar is "would a stock LLM get this wrong?"
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Blockchain development with Solidity security, DeFi protocols, NFT standards, and Web3 testing
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