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dennislee928
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openai-responses

Build agentic AI applications with OpenAI's Responses API and MCP connectivity.

54|Updated Nov 19, 2025
Search Tags:#api#llm#ai agent#conversation#openai#tools
One-click install
npx skills add https://github.com/dennislee928/Ethic-Latex --skill openai-responses-dennislee928
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-responses
Source: https://github.com/dennislee928/Ethic-Latex/tree/main/.claude/skills/openai-responses
Command: npx skills add https://github.com/dennislee928/Ethic-Latex --skill openai-responses-dennislee928

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and templates (resource) components.

What problem does it solve?

This Skill simplifies building advanced AI applications by providing a robust framework for managing stateful conversations, integrating tools, and handling complex agentic workflows with OpenAI's Responses API.

Core Features & Use Cases

  • Stateful Conversations: Automatically manages conversation history and context.
  • Built-in Tools: Seamlessly integrates Code Interpreter, File Search, Web Search, and Image Generation.
  • MCP Integration: Connects to external tools via Model Context Protocol.
  • Use Case: Develop a customer support chatbot that remembers past interactions, can access user account data via an MCP integration, and uses Code Interpreter to analyze user-provided data.

Quick Start

Use the openai-responses skill to generate a response to the user's latest message in an ongoing conversation.

Frequently Asked Questions about openai-responses

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build AI agents with stateful conversations using OpenAI?▼

To build AI agents with stateful conversations, you can use OpenAI's Responses API to automatically manage conversation history and context. This approach preserves reasoning across interactions, enabling persistent memory for complex workflows.

Can I connect an MCP server to an OpenAI AI agent for external tool access?▼

Yes, you can connect an MCP server to an OpenAI AI agent. Model Context Protocol integration allows your agent to access external tools and user account data, extending its capabilities beyond built-in functions.

What built-in tools are available for AI agents using the OpenAI Responses API?▼

Built-in tools available for AI agents using the OpenAI Responses API include Code Interpreter, File Search, Web Search, and Image Generation. These tools facilitate data analysis, information retrieval, and content creation.

How do I maintain conversation context and reasoning state in an LLM application?▼

You maintain conversation context and reasoning state in an LLM application by leveraging stateful conversation management. This framework automatically preserves history and reasoning, ensuring continuity across multi-turn interactions.

Does OpenAI Responses API support agentic workflows with Code Interpreter and File Search?▼

Yes, the OpenAI Responses API supports agentic workflows by seamlessly integrating Code Interpreter and File Search. This allows your AI agents to analyze user-provided data and retrieve information directly within the conversation.

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