In-depth Analysis | Mantle AI Agent Skills are Filling the Most Lacking Execution Layer in DeFAI Mantle @Mantle_Official @0xMantleCN is not just talking about AI; it is providing the execution layer that DeFAI desperately needs. Many projects discuss AI, but in the end, it always comes down to one thing: in the future, Agents will help you do more. This time, Mantle is not focusing on "what AI can say," but is seriously addressing "how AI should operate on-chain, how to minimize mistakes, and how to truly integrate into workflows." This is also the most noteworthy aspect of Mantle AI Agent Skills + Agent Scaffold. If it were just about launching an Agent interface, that wouldn't be remarkable. What the market lacks the least are AI interfaces that can chat, summarize, and narrate. What is truly scarce is the infrastructure that can break down on-chain execution into specific capabilities, processes, and checkpoints. This time, Mantle has rolled out a complete set of engineering components including skills, evals, SKILL.md, and even testing scripts, essentially indicating one thing: what it aims to create is not a more articulate assistant, but a foundational layer for DeFAI that is closer to "executable tools." Behind this is a very practical issue; on-chain has never been a chat box. If you say the wrong thing, it’s just awkward; if you click the wrong address, give the wrong authorization, or take the wrong path, you pay in real money. If Agents truly want to enter DeFi, the first thing they need to address is not expressive capability, but the layer that is most prone to failure before execution: address recognition, risk checks, parameter constraints, path judgments, and result validations. These dirty and tedious tasks can be avoided by human experience, but if the model is not standardized, modularized, and proceduralized, it will likely only appear smart, not reliable. What Mantle is addressing this time is precisely this layer. Therefore, I believe the value of this update lies not in "yet another AI narrative to write," but in Mantle translating on-chain experience into operational disciplines that AI can also invoke. Mantle has already pushed forward the toolchain that truly enables Agents to land. This order is crucial because the real threshold for DeFAI has never been about making the model look smarter, but about making it more stable in real scenarios. Thinking one step further, this matter is not just a simple technical update. Once these skills can continue to grow, in the future, Agents on Mantle will not just answer questions, but will have the opportunity to take on more complex on-chain workflows: first reading protocol states, then making strategic judgments, then performing risk control filtering, and finally entering execution. At that point, the role of AI in DeFi will no longer just be "assisting understanding," but will begin to approach "assisting operations." Structured yield, asset management, and strategy orchestration will then truly have room to grow further. This is also why I believe Mantle Hunter S3 incorporating AI Skill into the technical theme is not just to ride the trend. This topic itself is very representative. Because it shows that Mantle is no longer satisfied with telling a story of "AI + DeFi"; it is trying to compress this story into a truly operational infrastructure. Many projects are still selling the imagination of AI, while Mantle has already begun to pave the way for AI to truly take off in DeFi. The more solid this path is, the less DeFAI will resemble a mere slogan.