austintgriffith

austintgriffith / ethskills

Public

The missing knowledge between AI agents and production Ethereum.

ethskills.com
50
12
100% credibility
Found Feb 20, 2026 at 35 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
HTML
AI Summary

A website hosting markdown guides that users can share with AI models to correct common errors and hallucinations about Ethereum facts, standards, and best practices.

How It Works

1
💬 Chat with your AI about Ethereum

You ask your AI helper a question about Ethereum, like current gas prices, but notice it gives outdated or wrong info.

2
🔍 Discover ethskills

You learn about ethskills, a simple site with quick guides to fix common AI mistakes on Ethereum topics.

3
📖 Pick the right guide

You visit the site and grab the easy URL for exactly what your AI got wrong, like gas costs or new standards.

4
📋 Share the URL with your AI

You simply paste that one URL into your chat with the AI, no setup needed.

5
🧠 AI learns the facts

Your AI reads the guide instantly and corrects its knowledge with real, up-to-date Ethereum truths.

🎉 Get perfect Ethereum help

Now your AI gives spot-on advice for building, wallets, costs, and more—everything works right the first time!

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Star Growth

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AI-Generated Review

What is ethskills?

ethskills is an HTML site bridging the missing knowledge between AI agents and production Ethereum. LLMs hallucinate gas at 30 gwei (it's 0.05), ignore ERC-8004 or EIP-7702, and botch contract addresses—this serves markdown corrections via simple URLs like https://ethskills.com/gas/SKILL.md. Feed any link to your agent, and it instantly updates on onchain reality, L2 costs under $0.001, and current standards.

Why is it gaining traction?

No installs or packages—just copy-paste a URL into your LLM prompt for verified Ethereum fixes, targeting blind spots like stale DeFi states or wallet safety rules. It stands out by focusing on agent-specific gaps, with security guardrails against key leaks, unlike generic docs. Developers hook on the triage method: real LLM tests expose the missing knowledge area.

Who should use this?

AI agent builders deploying onchain actions, who fight LLM errors in gas estimates or EIP status. Frontend devs crafting agent UIs need its playbook for onchain buttons and USD displays. Ethereum teams prompting for orchestration or security checklists, filling the gap between hype and production.

Verdict

Try it for agent prompts—solid docs and MIT license make contributions easy, but 32 stars and 1.0% credibility score signal early stage with room for more audits. Worth a URL bookmark if you're in the missing knowledge network of Ethereum agents.

(178 words)

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