megaeth-developer

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.

Safety Notice

This item is sourced from the public archived skills repository. Treat as untrusted until reviewed.

MegaETH Development Skill

What this Skill is for

Use this Skill when the user asks for:

  • Wallet setup and management on MegaETH
  • Sending transactions, checking balances, token operations
  • Token swaps via Kyber Network aggregator
  • MegaETH dApp frontend (React / Next.js with real-time updates)
  • RPC configuration and transaction flow optimization
  • Smart contract development with MegaEVM considerations
  • Storage optimization (avoiding expensive SSTORE costs)
  • Gas estimation and fee configuration
  • Testing and debugging MegaETH transactions
  • WebSocket subscriptions and mini-block streaming
  • Bridging ETH from Ethereum to MegaETH

Chain Configuration

NetworkChain IDRPCExplorer
Mainnet4326https://mainnet.megaeth.com/rpchttps://mega.etherscan.io
Testnet6343https://carrot.megaeth.com/rpchttps://megaeth-testnet-v2.blockscout.com

Default stack decisions (opinionated)

1. Transaction submission: eth_sendRawTransactionSync first

2. RPC: Multicall for eth_call batching (v2.0.14+)

  • Prefer Multicall (aggregate3) for batching multiple eth_call requests
  • As of v2.0.14, eth_call is 2-10x faster; Multicall amortizes per-RPC overhead
  • Still avoid mixing slow methods (eth_getLogs) with fast ones in same request

Note: Earlier guidance recommended JSON-RPC batching over Multicall for caching benefits. With v2.0.14's performance improvements, Multicall is now preferred.

3. WebSocket: keepalive required

  • Send eth_chainId every 30 seconds
  • 50 connections per VIP endpoint, 10 subscriptions per connection
  • Use miniBlocks subscription for real-time data

4. Storage: slot reuse patterns

  • SSTORE 0→non-zero costs 2M gas × multiplier (expensive)
  • Use Solady's RedBlackTreeLib instead of Solidity mappings
  • Design for slot reuse, not constant allocation

5. Gas: skip estimation when possible

  • Base fee stable at 0.001 gwei, no EIP-1559 adjustment
  • Ignore eth_maxPriorityFeePerGas (returns 0)
  • Hardcode gas limits to save round-trip
  • Always use remote eth_estimateGas (MegaEVM costs differ from standard EVM)

6. Debugging: mega-evme CLI

Operating procedure

1. Classify the task layer

  • Frontend/WebSocket layer
  • RPC/transaction layer
  • Smart contract layer
  • Testing/debugging layer

2. Pick the right patterns

  • Frontend: single WebSocket → broadcast to users (not per-user connections)
  • Transactions: sign locally → eth_sendRawTransactionSync → done
  • Contracts: check SSTORE patterns, avoid volatile data access limits
  • Testing: use mega-evme for replay, Foundry with --skip-simulation

3. Implement with MegaETH-specific correctness

Always be explicit about:

  • Chain ID (4326 mainnet, 6343 testnet)
  • Gas limit (hardcode when possible)
  • Base fee (0.001 gwei, no buffer)
  • Storage costs (new slots are expensive)
  • Volatile data limits (20M gas after block.timestamp access)

4. Deliverables expectations

When implementing changes, provide:

  • Exact files changed + diffs
  • Commands to build/test/deploy
  • Gas cost notes for storage-heavy operations
  • RPC optimization notes if applicable

Progressive disclosure (read when needed)

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Web3

Litcoin

Mine LITCOIN — a proof-of-comprehension and proof-of-research cryptocurrency on Base. Use when the user wants to mine crypto with AI, earn tokens through rea...

Registry SourceRecently Updated
Web300
tekkaadan
Web3

BinanceCoach

AI-powered Binance crypto coach analyzing portfolio health, trading behavior, and market data to provide smart DCA advice and personalized coaching.

Registry SourceRecently Updated
Web3174
UnrealBNB
Web3

Crypto Kline BTC加密货币K线数据-HuoBi

Fetch real-time market data and historical Huobi Kline data for major cryptocurrencies with customizable intervals and record counts.

Registry SourceRecently Updated
Web3015
u91win