elliottech

elliottech / lighter-agent-kit

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Agent Skill to let AI Agents trade on Lighter

31
2
100% credibility
Found Apr 24, 2026 at 31 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A toolkit that integrates with AI agents to enable natural language queries, paper trading simulations, and live cryptocurrency trades on the Lighter platform.

How It Works

1
🔍 Discover the trading helper

You hear about Lighter Agent Kit, a simple add-on that lets your AI friend handle crypto trades on Lighter by just chatting.

2
📥 Install with one click

Copy and paste a single line into your terminal, and it sets everything up automatically on your computer.

3
🔑 Link your trading account

Enter your private details once to connect securely, or skip for safe practice mode without real money.

4
🔄 Restart your AI chat

Refresh your AI tool like Claude or Cursor, and the new skill is ready to go.

5
💬 Talk naturally to trade

Ask things like 'Show BTC spreads' or 'Try a momentum strategy on paper', and watch your AI fetch data, simulate, or place trades.

✅ Your AI trades smartly

Everything works smoothly—practice risk-free or go live confidently, with your strategies running just like you imagined.

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Star Growth

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AI-Generated Review

What is lighter-agent-kit?

This Python agent skills github repo lets AI agents like Claude, Copilot in VSCode or IntelliJ, and Cursor trade crypto perps (BTC, ETH, SOL) and spot (ETH/USDC) on Lighter via natural language. Tell your agent "show BTC book" or "place limit buy 0.01 ETH under mid" – it resolves symbols, fetches live data, and executes queries, paper trades, orders, or PnL checks. One-line curl install sets up for agentskills.io spec, with paper trading simulating against real order books.

Why is it gaining traction?

Unlike raw SDKs, it turns trading into chat: market books, funding rates, candles, positions, even close-all with preview. Paper mode risks nothing while using live feeds; CLI scripts mirror agent calls for debugging. Stands out in agent github claude and copilot reddit threads as a ready agent skills anthropic example versus manual MCP servers.

Who should use this?

Crypto devs building agent github copilot CLI bots for Lighter strategies. Traders prompting Claude Code for momentum plays or funding scans. Agent skills vscode users prototyping without writing signer code.

Verdict

Promising agent skills library at 31 stars and 1.0% credibility – experimental but MIT-licensed with thorough docs and health checks. Try paper trading now; fund live accounts cautiously after disclaimer review.

(178 words)

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