What problem does it solve? AI agents frequently generate outdated Tenderly integrations: deprecated v1 endpoints, wrong authentication headers, incorrect network_id types, and confusion between forks and Virtual TestNets. This Skill provides verified, current patterns for Tenderly's simulation, testing, monitoring, and serverless action APIs so generated code works on the first attempt. ## Core Features & Use Cases - Transaction Simulation: Simulate single transactions or sequential bundles with state overrides, full call traces, gas profiling, and revert reasons across 60+ EVM networks. - Virtual TestNets: Create isolated mainnet forks with custom RPC methods for funding accounts, setting ERC-20 balances, manipulating time, and snapshotting state. - Alerts and Web3 Actions: Configure onchain monitoring alerts with HMAC-verified webhooks, and deploy serverless functions triggered by transactions, cron schedules, or webhooks. - Use Case: Before deploying a contract upgrade, simulate the migration transaction against mainnet state on a Virtual TestNet, verify the gas profile and state diffs, then set up an alert to monitor the live contract for failed transactions. ## Quick Start Set the TENDERLY_ACCESS_KEY, TENDERLY_ACCOUNT_SLUG, and TENDERLY_PROJECT_SLUG environment variables, then ask the agent to simulate an ERC-20 transfer on Ethereum mainnet using the Tenderly simulation API.