openai-agent-sdk-skill

The openai-agent-sdk-skill provides a comprehensive framework for developers building intelligent applications using the OpenAI Agents SDK in TypeScript and JavaScript environments. This skill is designed for software engineers and AI developers tasked with orchestrating complex agentic workflows, multi-agent collaborations, and reactive voice-based interfaces. Whether you are building internal research bots, customer support triage systems, or automated procedural tools, this skill provides the necessary boilerplate and structural guidance to get started efficiently. It emphasizes the use of current standards like Zod for schema validation and provides direct integration patterns for advanced agent capabilities including MCP (Model Context Protocol), streaming outputs, and sophisticated handoff mechanisms between specialized agents.

• Full lifecycle support for creating, configuring, and deploying OpenAI Agents.

• Built-in support for tool definition, including function tools, context-aware tools, and hosted tools like Web Search, File Search, and Computer Use.

• Advanced orchestration patterns for multi-agent systems, featuring handoff logic with input filtering and tool overriding.

• Implementation guidance for structured output generation using Zod schemas to ensure type-safe responses.

• Best practices for input and output guardrails to maintain reliability and security in production environments.

• Support for advanced agent features including realtime voice interactions and integration with vector stores for RAG workflows.

• When initiating a new project, follow the provided CLI setup for npm-based initialization and dependency management.

• Always prioritize the use of the recommended model (gpt-5-nano) as specified in the configuration guidelines.

• Use the Agent properties table to correctly configure name, instructions, and model settings during development.

• Utilize the handoff functionality to route complex requests between dedicated specialist agents, maintaining clean separation of concerns.

• Ensure structured outputs are strictly defined with Zod to prevent runtime serialization errors in downstream components.

• When implementing tools, distinguish between local function execution and hosted service-based tools like webSearchTool or codeInterpreterTool to optimize performance and security.