Skill Guide

DeFi protocol mechanics (AMMs, lending, staking, governance, MEV)

The operational logic and economic incentives governing decentralized finance protocols, specifically the math behind automated liquidity pools (AMMs), on-chain credit markets (lending), network security deposits (staking), decision-making structures (governance), and value extraction from transaction ordering (MEV).

Possessing this skill enables professionals to architect censorship-resistant financial primitives and audit smart contract logic, directly securing Total Value Locked (TVL) against exploits. It bridges the gap between abstract cryptographic theory and executable monetary policy, allowing teams to build viable alternatives to traditional banking infrastructure.

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How to Learn DeFi protocol mechanics (AMMs, lending, staking, governance, MEV)

Master the constant product formula ($x * y = k$) for Uniswap V2 style AMMs and the concept of liquidity provision impermanent loss. Understand the 'Health Factor' logic in lending protocols like Aave (collateralization ratios and liquidation thresholds). Dissect the basic ERC-20/ERC-721 token standards that underpin voting power.

Analyze the transition from fungible liquidity positions (V2) to concentrated liquidity (Uniswap V3) and its impact on capital efficiency. Study the mechanics of Curve Finance's StableSwap invariant for low-slippage pairs. Investigate Liquid Staking Derivatives (LSDs) like stETH and the derivative pricing risks.

Deconstruct the 'Oracle Problem' and secure price feed integration (e.g., Chainlink vs. Uniswap TWAP). Design cross-margin risk engines that account for correlated asset crashes. Architect MEV-resilient protocols using Flashbots Protect or private transaction mempools to prevent frontrunning.

Practice Projects

Beginner

Project

Build a Constant Product Market Maker (CPMM) in Solidity

Scenario

You are tasked with deploying a minimal viable AMM similar to Uniswap V2 on a testnet (Sepolia) to facilitate trading between two mock ERC-20 tokens.

How to Execute

1. Write Solidity contracts for a Factory and a Pair contract using the x*y=k invariant. 2. Implement the mint/burn functions to manage LP tokens based on the reserves ratio. 3. Deploy to Sepolia and provide initial liquidity via a hardhat script. 4. Execute a series of swaps via a frontend or script to verify the price impact curve.

Intermediate

Project

Simulation of a Lending Protocol Liquidation Cascade

Scenario

Simulate a market crash scenario (e.g., ETH price drops 20% in 10 minutes) against a lending pool to test the protocol's resilience and the efficiency of liquidation bots.

How to Execute

1. Fork mainnet using Hardhat or Foundry. 2. Script a transaction that artificially crashes the oracle price of the collateral asset. 3. Write a bot (using Ethers.js or Web3.py) to scan for undercollateralized positions (Health Factor < 1). 4. Execute the liquidation function to seize collateral and repay debt, analyzing gas costs vs. liquidation bonus.

Advanced

Project

Designing a MEV-Aware Treasury Management System

Scenario

Design a smart contract system for a DAO treasury that executes large token swaps without being front-run by sandwich bots, minimizing slippage and MEV leakage.

How to Execute

1. Implement a 'Flashbots Auction' integration where transactions are routed directly to block builders via private RPCs (e.g., mev-blocker). 2. Build a Time-Weighted Average Price (TWAP) execution logic that splits the swap across multiple blocks. 3. Integrate with a CoW Swap solver mechanism for off-chain order matching to find the best on-chain settlement. 4. Audit the flow for 'sandwiching' vulnerabilities.

Tools & Frameworks

Development & Testing

Foundry (Forge/Cast)HardhatOpenZeppelin Contracts

Foundry and Hardhat are the industry standards for compiling, testing, and deploying smart contracts; OpenZeppelin provides battle-tested libraries for access control and token standards to avoid re-inventing the wheel.

Protocol Standards & Data

Uniswap V3 Core/PeripheryAave V3 Risk ParametersFlashbots Block Builder API

Use Uniswap V3 codebase to study concentrated liquidity math; reference Aave V3 docs for risk parameter calibration; use Flashbots API to simulate and execute MEV-resistant transaction submissions.

Interview Questions

Answer Strategy

Differentiate between 'bounded' vs. 'unbounded' price ranges. Highlight that V3 allows LPs to act as active market makers within a specific range, increasing capital efficiency (higher fee APR) but increasing the risk of impermanent loss if the price moves out of range. Sample: 'V3 introduces range-bound positions, allowing LPs to concentrate capital near the current price, yielding higher returns but requiring active management. It shifts risk from the protocol to the LP, making liquidity depth more volatile during price swings.'

Answer Strategy

Test knowledge of Oracle manipulation and defensive coding. Focus on the 'flash loan' vector and the 'Time-Weighted Average Price' (TWAP) defense. Sample: 'An attacker could use a flash loan to artificially inflate the price of the collateral on a low-liquidity DEX, borrow maximum funds, and vanish. To defend, I would implement a TWAP oracle that aggregates prices over multiple blocks, add a 'sanity check' for extreme volatility, and integrate a secondary backup oracle.'