openai-responses-skill

Generate text, structured outputs, and streaming responses via the OpenAI Responses API.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/ialae/TelegarmBotor --skill openai-responses-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-responses-skill
Source: https://github.com/ialae/TelegarmBotor/tree/main/.github/skills/openai-responses-skill
Command: npx skills add https://github.com/ialae/TelegarmBotor --skill openai-responses-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The OpenAI Responses API enables teams to generate text, structured data, and multi-turn conversations with reliability, consistency, and built-in tool usage, reducing development toil.

Core Features & Use Cases

  • Flexible text generation with multiple models (gpt-5.4, gpt-5, gpt-4.1, etc.)
  • Structured outputs and JSON schema validation for reliable integration
  • Streaming responses and multi-turn dialogues with role-based messaging
  • Use cases include chatbots, data extraction, and automated content creation

Quick Start

Run a simple prompt through the OpenAI Responses API to generate text and observe the structured output.

Frequently Asked Questions about openai-responses-skill

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

FAQPage Schema
How do I use the OpenAI Responses API for structured outputs?

To generate structured outputs with the OpenAI Responses API, apply JSON schema validation to your requests. This ensures reliable integration by forcing the model to return data matching your defined schema.

Can I use the OpenAI Responses API for multi-turn conversations?

Yes, the OpenAI Responses API supports multi-turn conversations using role-based messaging. You can maintain context across chat turns to build interactive chatbots and automated dialogue systems.

What is the best way to handle streaming responses with OpenAI?

The best way to handle streaming responses is to use the OpenAI Responses API streaming feature. It allows you to process text generation incrementally as it arrives, reducing latency for end-user applications.

How do I securely manage my API key when using the OpenAI Responses API?

Securely manage your API key by following safety best practices during input formatting and error handling. Ensure your key is stored in environment variables and never exposed in client-side code.

Which models are available for text generation in the Responses API?

The Responses API supports flexible text generation across multiple models including gpt-5.4, gpt-5, and gpt-4.1. Model selection should be based on your specific task complexity and performance requirements.

Why am I getting errors during OpenAI Responses API data extraction?

Errors during data extraction often stem from incorrect input formatting or schema mismatches. Ensure your JSON schema is properly defined and apply robust error handling to catch validation failures.