Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
中文简介正在准备中。当前显示原文说明。
End-to-end MegaETH development playbook (Feb 2026). Covers wallet operations, token swaps (Kyber Network), eth_sendRawTransactionSync (EIP-7966) for instant receipts, JSON-RPC batching, real-time mini-block subscriptions, storage-aware contract patterns (Solady RedBlackTreeLib), MegaEVM gas model, WebSocket keepalive, bridging from Ethereum, and debugging with mega-evme. Use when building on MegaETH, managing wallets, sending transactions, or deploying contracts.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use this Skill when the user asks for:
| Network | Chain ID | RPC | Explorer |
|---|---|---|---|
| Mainnet | 4326 | https://mainnet.megaeth.com/rpc | https://mega.etherscan.io |
| Testnet | 6343 | https://carrot.megaeth.com/rpc | https://megaeth-testnet-v2.blockscout.com |
eth_sendRawTransactionSync (EIP-7966) — returns receipt in <10mseth_getTransactionReceiptaggregate3) for batching multiple eth_call requestseth_call is 2-10x faster; Multicall amortizes per-RPC overheadeth_getLogs) with fast ones in same requestNote: Earlier guidance recommended JSON-RPC batching over Multicall for caching benefits. With v2.0.14's performance improvements, Multicall is now preferred.
eth_chainId every 30 secondsminiBlocks subscription for real-time dataeth_maxPriorityFeePerGas (returns 0)eth_estimateGas (MegaEVM costs differ from standard EVM)eth_sendRawTransactionSync → done--skip-simulationAlways be explicit about:
When implementing changes, provide:
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
中文简介正在准备中。当前显示原文说明。
Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.
中文简介正在准备中。当前显示原文说明。
Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.
中文简介正在准备中。当前显示原文说明。
Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.
中文简介正在准备中。当前显示原文说明。
Design, build, test, document, and secure production-grade APIs. Covers the full lifecycle from schema design through deployment, monitoring, and versioning. Use when designing new APIs, reviewing existing ones, generating OpenAPI specs, building test suites, or debugging production issues.
中文简介正在准备中。当前显示原文说明。
Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.
中文简介正在准备中。当前显示原文说明。