What problem does it solve?
This Skill clarifies fundamental onchain concepts that LLMs often misunderstand, such as the lack of automatic execution and the critical role of incentives, enabling developers to design and build more robust and decentralized systems.
Core Features & Use Cases
- Incentive Design: Teaches how to align incentives for autonomous system operation without operators.
- State Machine Understanding: Explains that smart contracts require external calls to execute, dispelling the myth of automatic execution.
- Randomness Handling: Provides secure methods for generating randomness onchain.
- Use Case: When designing a new DeFi protocol, use this Skill to ensure all state transitions are triggered by well-incentivized actors, preventing the system from becoming stalled or inoperable.
Quick Start
Explain the concept of 'nothing is automatic' in smart contracts.