Uniswap Labs has announced the release of seven new “Skills” designed to allow AI agents to execute structured operations directly on the Uniswap protocol.
The update introduces a standardized framework that gives automated systems controlled access to core protocol functionality, marking a step toward more advanced on-chain agentic workflows.
The newly released Skills are intended to serve as modular building blocks for developers building AI-driven DeFi applications. Instead of creating custom integrations from scratch, AI agents can now use predefined capabilities tailored specifically to Uniswap’s infrastructure.
The seven Skills include:
Together, these Skills give AI agents the ability to deploy pools, execute trades, and manage liquidity in a standardized, programmable way.
Uniswap describes the release as a starting point for “agentic workflows” on-chain. In practical terms, this means AI systems can now interact with decentralized markets using predefined, secure methods rather than ad hoc scripts.
This development reflects the growing convergence between artificial intelligence and decentralized finance. As AI-driven systems become more common in trading, liquidity optimization, and automated execution strategies, structured access to protocol functions becomes increasingly important.
By formalizing protocol interactions into modular Skills, Uniswap reduces friction for developers building automated applications. It also signals a broader evolution in DeFi infrastructure, from user-driven interfaces toward machine-native access layers.
As on-chain markets grow more complex, tools that enable secure, programmable execution could play a larger role in how liquidity is deployed and trades are executed. While it remains early for AI-native DeFi systems, the introduction of these Skills suggests Uniswap is positioning itself at the forefront of that transition.
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