Agent skill · Backend & API

openai-responses

Build agentic AI with OpenAI Responses API - stateful conversations with preserved reasoning, built-in tools (Code Interpreter, File Search, Web Search), and MCP integration. Prevents 11 documented errors. Use when: building agents with persistent reasoning, using server-side tools, or migrating from Chat Completions/Assistants for better multi-turn performance.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill openai-responses-brendadeeznuts1111-tier-1380-omega --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 18 KB
Bundled scripts: none
Path: skills/ai-llm/openai-responses-brendadeeznuts1111-tier-1380-omega/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# OpenAI Responses API **Status**: Production Ready **Last Updated**: 2026-01-21 **API Launch**: March 2025 **Dependencies**: openai@6.16.0 (Node.js) or fetch API (Cloudflare Workers) --- ## What Is the Responses API? OpenAI's unified interface for agentic applications, launched **March 2025**. Provides **stateful conversations** with **preserved reasoning state** across turns. **Key Innovation:** Unlike Chat Completions (reasoning discarded between turns), Responses **preserves the model's reasoning notebook**, improving performance by **5% on TAUBench** and enabling better multi-turn interactions. **vs Chat Completions:** | Feature | Chat Completions | Responses API | |---------|-----------------|---------------| | State | Manual history tracking | Automatic (conversation IDs) | | Reasoning | Dropped between turns | Preserved across turns (+5% TAUBench) | | Tools | Client-side round trips | Server-side hosted | | Output | Single message | Polymorphic (8 types) | | Cache | Baseline | **40-80% better utilization** | | MCP | Manual | Built-in | --- ## Quick Start ```bash npm install openai@6.16.0 ``` ```typescript import OpenAI from 'openai'; const openai = new OpenAI({ apiKey: proc

What's inside
Steps it walks through
  1. What Is the Responses API?
  2. Quick Start
  3. When to Use Responses vs Chat Completions
  4. Stateful Conversations
  5. Built-in Tools (Server-Side)
  6. Web Search TypeScript Note
  7. MCP Server Integration
  8. User Approval Requirement
  9. Basic MCP Usage
  10. Reasoning Preservation
  11. Important: Reasoning Traces Privacy
  12. Background Mode
  13. Performance Considerations
  14. Data Retention and Privacy
Ships with 1 file
  • metadata.json
Commands it runs
npm install openai@6.16.0
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About this skill
What does the openai-responses skill do?

Build agentic AI with OpenAI Responses API - stateful conversations with preserved reasoning, built-in tools (Code Interpreter, File Search, Web Search), and MCP integration. Prevents 11 documented errors. Use when: building agents with persistent reasoning, using server-side tools, or migrating from Chat Completions/Assistants for better multi-turn performance.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill openai-responses-brendadeeznuts1111-tier-1380-omega --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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