Building workflows for agents with Skills and Interpreters

Interpreter skills are an innovative extension to agent skills, allowing agents to include a TypeScript module within a skill to execute code directly, enhancing their capability to perform complex tasks more efficiently and predictably. This development, introduced to Deep Agents, leverages a TypeScript runtime for agents to express multi-step work as code, enabling them to take on more deterministic routines while maintaining discretion on when to apply these routines. By importing skill modules and executing them, agents can perform tasks such as repository triage with fixed procedures, thus ensuring reliability and accuracy. Interpreter skills blend the flexibility of modern agent harnesses with the deterministic nature of traditional workflows, enabling agents to handle intermediate states and complex operations effectively. This approach allows for the creation of testable, versioned, and reusable libraries of best practices, providing a more structured and reliable method for agents to perform tasks while keeping the model in charge of strategic decision-making.