Deploy Solidity contracts to Base, Optimism, and Arbitrum using Foundry scripts.
npx skills add https://github.com/ccashwell/evm-cortex --skill l2-deployment
Please help me install this Agent Skill. Skill: l2-deployment Source: https://github.com/ccashwell/evm-cortex/tree/main/skills/l2-deployment Command: npx skills add https://github.com/ccashwell/evm-cortex --skill l2-deployment
This Skill provides guidance and tooling for deploying Solidity contracts to Layer 2 networks (Base, Optimism, Arbitrum), addressing L2-specific considerations, gas economics, bridge integration, and deployment scripts.
Run the Foundry deployment script to deploy your contracts to the target L2 networks.
High-intent search queries and answers about installing and using this skill.
To deploy smart contracts to L2 networks, you use Foundry-based deployment scripts with L2-specific patterns. This approach handles EVM version selection, estimates L1 data costs, and integrates bridges for safe, repeatable contract deployments on Base, Optimism, and Arbitrum.
Estimating L2 deployment gas involves using specialized scripts that calculate L1 data costs alongside execution costs. Foundry deployment scripts provide gas estimation checks to account for the unique gas economics of networks like Arbitrum and Optimism.
Deploying to L2 networks like Optimism and Base requires checking PUSH0 opcode compatibility and configuring the correct EVM version. Guidance and checks are provided to ensure your Solidity contracts avoid compatibility issues during deployment.
You can test L2 deployments and bridge integration using Foundry forked-test workflows. These workflows simulate the target L2 environment locally, allowing you to validate cross-chain messaging patterns and contract behavior before executing production deployments.
L2 deployments often fail due to missed EVM version checks or incorrect gas estimation. Using deployment checklists, best practices, and Foundry scripts reduces production risk by ensuring all L2-specific considerations are validated before execution.
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