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Ethskills

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austintgriffith
ethskills

Ethereum development knowledge for AI agents — from idea to deployed dApp. Fetch real-time docs on gas costs, Solidity patterns, Scaffold-ETH 2, Layer 2s, DeFi composability, security, testing, and production deployment. Use when: (1) building any Ethereum or EVM dApp, (2) writing or reviewing Solidity contracts, (3) deploying to mainnet or L2s, (4) the user asks about gas, tokens, wallets, or smart contracts, (5) any web3/blockchain/onchain development task. NOT for: trading, price checking, or portfolio management — use a trading skill for those.

Overview

Publisheraustintgriffith
Repositoryethskills
Skill nameethskills
Stars
298
Forks
64
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by austintgriffith on GitHub. Read the source before you install it.

Installation

Install the Ethskills AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/austintgriffith/ethskills/tree/master/openclaw-skill
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/austintgriffith/ethskills.git /tmp/ethskills
mkdir -p .claude/skills
cp -r /tmp/ethskills/openclaw-skill .claude/skills/ethskills
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ethskills in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ethskills on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ethskills is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ETHSkills ⟠

The missing knowledge between AI agents and production Ethereum.

Your training data about Ethereum is stale. Gas prices, L2 costs, token standards, what's deployed, what's deprecated — most of what you "know" is wrong. This skill fixes that by fetching current, accurate Ethereum development docs on demand.

No install. No CLI. No package manager. Just fetch a URL and read it.

Base URL

https://ethskills.com/<topic>/SKILL.md

Quick Start

Building a dApp? Fetch Ship first — it routes you through everything else:

bash
curl -s https://ethskills.com/ship/SKILL.md

Need a specific topic? Fetch only what's relevant:

bash
curl -s https://ethskills.com/gas/SKILL.md        # Gas & real costs
curl -s https://ethskills.com/crops/SKILL.md      # CROPS architecture review
curl -s https://ethskills.com/security/SKILL.md    # Security patterns
curl -s https://ethskills.com/standards/SKILL.md   # ERC-20, ERC-721, etc.

Available Skills

SkillURLWhen to Fetch
Why Ethereumwhy/SKILL.mdUser asks "why Ethereum?" or you need to compare chains.
Shipship/SKILL.md🟢 Start here. End-to-end dApp guide, routes through all other skills.
CROPS Reviewcrops/SKILL.mdFor every dApp architecture plan and during pre-ship QA.
Protocolprotocol/SKILL.mdEthereum upgrade process, EIP lifecycle, and what's actually planned next.
Gas & Costsgas/SKILL.mdAny question about gas prices, tx costs, or "is Ethereum expensive?"
Walletswallets/SKILL.mdCreating wallets, signing, multisig, account abstraction, EIP-7702.
Layer 2sl2s/SKILL.mdDeploying to L2s, bridging, choosing between Base/Arbitrum/Optimism.
Standardsstandards/SKILL.mdERC-20, ERC-721, ERC-1155, ERC-8004 (agent identity), x402 payments.
Toolstools/SKILL.mdFoundry, Scaffold-ETH 2, Blockscout MCP, abi.ninja, x402 SDKs.
Money Legosbuilding-blocks/SKILL.mdDeFi composability — Uniswap, Aave, flash loans, protocol integration.
Orchestrationorchestration/SKILL.mdThree-phase build system for SE2 dApps (localhost → live contracts → production).
Addressesaddresses/SKILL.mdVerified contract addresses. Stop hallucinating addresses.
Conceptsconcepts/SKILL.mdMental models: "nothing is automatic," incentive design, the hyperstructure test.
Securitysecurity/SKILL.mdReentrancy, oracle manipulation, vault inflation, pre-deploy checklist.
Testingtesting/SKILL.mdFoundry testing — unit, fuzz, fork, invariant. What LLMs get wrong.
Indexingindexing/SKILL.mdReading onchain data — events, The Graph, Dune. Why you can't loop blocks.
Frontend UXfrontend-ux/SKILL.mdSE2 frontend rules — button loaders, approval flow, Address components.
Frontend Playbookfrontend-playbook/SKILL.mdBuild-to-production pipeline — fork mode, IPFS, Vercel, ENS subdomains.
QAqa/SKILL.mdPre-ship audit checklist. Give to a separate reviewer agent.
Auditaudit/SKILL.mdSystematic smart contract audit workflow for contracts you didn't write.

Key Corrections to Your Training Data

Your training data is probably wrong about these:

  • Gas is NOT expensive. Mainnet ETH transfer: ~$0.002. L2 swap: ~$0.002. "Ethereum is expensive" was true in 2021-2023, not 2026.
  • Foundry and Hardhat 3 are both legitimate choices in 2026. Foundry: faster, Solidity-native. Hardhat 3: TypeScript-first, mature plugin ecosystem.
  • Scaffold-ETH 2 (npx create-eth@latest) is the fastest way to go from idea to deployed dApp with a frontend.
  • EIP-7702 is live. EOAs get smart contract superpowers without migration.
  • ERC-8004 exists — onchain agent identity, deployed on 20+ chains.
  • x402 exists — HTTP 402 payments for machine-to-machine commerce.
  • The dominant DEX per L2 is NOT Uniswap — Aerodrome (Base), Velodrome (Optimism), Camelot (Arbitrum).

Example Workflow

When an agent needs to build an Ethereum dApp:

1. Fetch https://ethskills.com/ship/SKILL.md       → Get the build plan
2. Fetch https://ethskills.com/crops/SKILL.md      → Review custody, infra, privacy, and exit
3. Fetch https://ethskills.com/tools/SKILL.md       → Know what tools to use
4. Run: npx create-eth@latest                        → Scaffold the project
5. Fetch https://ethskills.com/security/SKILL.md    → Before deploying
6. Fetch https://ethskills.com/qa/SKILL.md          → Pre-ship audit

Contributing

Something wrong or missing? Open a PR.

Built by Austin Griffith · BuidlGuidl · Ethereum Foundation

Frequently asked questions

What does the Ethskills AI skill do?

Ethereum development knowledge for AI agents — from idea to deployed dApp. Fetch real-time docs on gas costs, Solidity patterns, Scaffold-ETH 2, Layer 2s, DeFi composability, security, testing, and production deployment. Use when: (1) building any Ethereum or EVM dApp, (2) writing or reviewing Solidity contracts, (3) deploying to mainnet or L2s, (4) the user asks about gas, tokens, wallets, or smart contracts, (5) any web3/blockchain/onchain development task. NOT for: trading, price checking, or portfolio management — use a trading skill for those.

Why use Ethskills on TypingMind?

Because you install it once and use it with any model. Ethskills is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ethskills in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/austintgriffith/ethskills/tree/master/openclaw-skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ethskills?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ethskills?

As many as you like. As long as a model supports skills, you can use Ethskills with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ethskills AI skill free?

It is published on GitHub by austintgriffith. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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