Computes Uniswap-style concentrated-liquidity math for Solidity contracts.
npx skills add https://github.com/ccashwell/evm-cortex --skill uniswap-math
Please help me install this Agent Skill. Skill: uniswap-math Source: https://github.com/ccashwell/evm-cortex/tree/main/skills/uniswap-math Command: npx skills add https://github.com/ccashwell/evm-cortex --skill uniswap-math
This Skill provides precise fixed-point math and specialized libraries for Uniswap-style concentrated liquidity, enabling developers to compute prices, liquidity, and token amounts with high accuracy.
Integrate the Uniswap math libraries into your Solidity project and run a simple example to calculate liquidity for a given token pair.
High-intent search queries and answers about installing and using this skill.
You can calculate concentrated liquidity for a Uniswap pool by integrating specialized fixed-point math libraries. This Skill provides TickMath, SqrtPriceMath, and LiquidityAmounts to compute liquidity provisioning and token amounts with deterministic precision.
Uniswap v4 swap calculations require core arithmetic libraries including SwapMath, SqrtPriceMath, and FullMath. This Skill supplies these fixed-point math components to accurately compute prices and token amounts during swaps.
TickMath computes sqrt prices by converting tick inputs into fixed-point price representations. This Skill implements the TickMath logic necessary to map tick ranges to precise sqrt prices for concentrated liquidity pools.
Yes, you can manage liquidity ranges and amounts for Uniswap positions using the included TickBitmap and LiquidityAmounts libraries. These components handle liquidity state and calculate precise token amounts for active position ranges.
Yes, simulating concentrated liquidity math requires the v4-core and v4-periphery math libraries. This Skill depends on these specific Uniswap libraries to support integration and execute precise fixed-point calculations in Solidity contracts.
Fixed-point math for concentrated liquidity calculations requires strict deterministic precision to avoid rounding errors in swap scenarios. This Skill mitigates limitations by using Uniswap's exact arithmetic libraries like FullMath to handle maximum precision safely.
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