A professional tool for AI agents to query and analyze Uniswap v3 and v4 pool metrics directly on-chain using viem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install uniswap-pool-analysis
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install uniswap-pool-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Uniswap Pool Analysis?
This skill provides a robust framework for AI agents to perform deep analysis of Uniswap pool state. By leveraging Openclaw Skills, developers can enable agents to interpret complex on-chain data like liquidity distribution, tick ranges, and fee protocol metrics. It bridges the gap between raw blockchain data and actionable insights for liquidity providers and DeFi researchers.
The integration utilizes the viem library to interact with smart contracts on Ethereum and other EVM-compatible chains. It handles the mathematical complexities of sqrtPriceX96 and tick conversions, providing a structured way to evaluate Total Value Locked (TVL) and market depth across various fee tiers. By using this Openclaw Skills module, agents can accurately calculate prices and visualize liquidity net changes across the tick bitmap.
Uniswap Pool Analysis Use Cases
- Monitoring liquidity distribution across specific tick ranges for Uniswap v3/v4 pools.
- Calculating real-time token prices from on-chain sqrtPriceX96 values.
- Analyzing fee tier efficiency and tick spacing for different trading pairs.
- Visualizing market depth and cumulative liquidity for automated DeFi research.
- Automating multi-chain pool state queries using standardized Openclaw Skills workflows.
How Uniswap Pool Analysis Works
- Initialize a public client using viem with the appropriate multi-chain RPC configuration provided in the environment.
- Query the pool contract's slot0 function to retrieve the current sqrtPriceX96, tick, and observation data.
- Read the active liquidity value (L) to determine the depth at the current active price point.
- Access the tickBitmap to identify initialized price points and retrieve liquidityNet values for specific ranges.
- Apply conversion formulas to transform raw on-chain data into human-readable price and TVL metrics.
- Return the processed analytics through the Openclaw Skills interface for the agent to use in decision-making.
Uniswap Pool Analysis Setup
To get started with this skill, ensure you have the viem library installed and your RPC environment variables configured. This Openclaw Skills component requires a valid provider for Ethereum or compatible L2s.
npm install viem
export ETHEREUM_RPC_URL='https://your-rpc-endpoint-here'
Uniswap Pool Analysis Data Schema & Taxonomy
The skill organizes Uniswap pool data into a structured format for easy analysis:
| Attribute | Description | Data Type |
|---|---|---|
| sqrtPriceX96 | The encoded price format used by Uniswap v3/v4 contracts. | bigint |
| Ticks | Discrete price points defining liquidity ranges. | number |
| Liquidity | The L value representing active liquidity at a specific tick. | bigint |
| Fee Tier | The protocol fee level (e.g., 0.01%, 0.05%, 0.30%, 1.00%). | number |
| Tick Spacing | The gap between initialized ticks based on the fee tier. | number |
| chainId | The specific blockchain network identifier for the pool. | number |
Uniswap Pool Analysis Advanced Features
- Full multi-chain support for various EVM networks using shared chain configurations.
- Automated price conversion logic for both sqrtPriceX96 and individual tick indices.
- Advanced liquidity profiling via tickBitmap traversal for depth analysis.
- Seamless integration with other Openclaw Skills for complex automated trading and monitoring workflows.
- Support for both Uniswap v3 and v4 pool structures, including specialized observation cardinality tracking.
SKILL.md
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