Does this skill support the latest GPT-5 models?

Yes, it includes comprehensive support for the entire GPT-5 family, including GPT-5.2 Pro, GPT-5.1 Codex, and reasoning effort configurations.

Does it include error handling for rate limits?

Yes, the skill includes robust retry patterns and backoff strategies to handle AuthenticationError, RateLimitError, and API connectivity issues.

How does it handle complex tool calling scenarios?

It provides patterns for defining strict function schemas, managing multi-turn tool loops, and handling tool_choice parameters to force specific model behaviors.

What is the difference between Chat Completions and the Responses API?

Chat Completions is the standard for LLM interaction, while the Responses API is next-gen, offering built-in tools like web search and native conversation continuity.

Can I use this for both Python and Node.js projects?

Absolutely. The skill provides standardized setup and implementation patterns for both the OpenAI Python and TypeScript/JavaScript clients.

OpenAI Platform Integration

Name: OpenAI Platform Integration
Author: FortiumPartners

byFortiumPartners

数据科学与机器学习

Facilitates the development of AI-powered applications using the OpenAI SDK, covering GPT-5 models, Responses API, and advanced tool calling.

关于

This skill equips Claude with the expertise to implement OpenAI's most advanced features, including the GPT-5 model family and the next-generation Responses API. It provides boilerplate and best practices for Python and TypeScript/JavaScript clients, enabling developers to build sophisticated agents with built-in web search, code interpretation, and structured outputs. Whether you are implementing semantic search via embeddings or complex multi-turn tool calling, this skill ensures robust error handling, cost-effective model selection, and optimal reasoning effort configurations for any AI-augmented workflow.

主要功能

Support for GPT-5 family models including reasoning effort and budget controls.
High-performance vector embedding generation for semantic search and RAG.
0 GitHub stars
Built-in tool integration for web search and code interpreter capabilities.
Advanced tool calling loops with strict schema enforcement and JSON mode.
Implementation patterns for both Chat Completions and the next-gen Responses API.

使用场景

Building autonomous agents with conversation continuity and chain-of-thought passing.
Implementing real-time streaming chat interfaces with structured JSON outputs.
Developing RAG (Retrieval-Augmented Generation) systems using text-embedding-3 models.

关于

主要功能

Support for GPT-5 family models including reasoning effort and budget controls.
High-performance vector embedding generation for semantic search and RAG.
0 GitHub stars
Built-in tool integration for web search and code interpreter capabilities.
Advanced tool calling loops with strict schema enforcement and JSON mode.
Implementation patterns for both Chat Completions and the next-gen Responses API.

使用场景

Building autonomous agents with conversation continuity and chain-of-thought passing.
Implementing real-time streaming chat interfaces with structured JSON outputs.
Developing RAG (Retrieval-Augmented Generation) systems using text-embedding-3 models.