Integrate OpenAI Chat Completions, Embeddings, Images, Audio, and Moderation APIs.
npx skills add https://github.com/jezweb/claude-skills --skill openai-api
Please help me install this Agent Skill. Skill: OpenAI API Source: https://github.com/jezweb/claude-skills/tree/main/skills/openai-api Command: npx skills add https://github.com/jezweb/claude-skills --skill openai-api
What problem does it solves? This Skill provides a comprehensive, ready-to-use guide for integrating OpenAI's core APIs, eliminating the complexity of setup, error handling, and best practices. It helps you quickly build AI-powered features without extensive research or debugging, saving you time and reducing development friction.
npm install [email protected]
export OPENAI_API_KEY="sk-..."
import OpenAI from 'openai'; const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY }); const completion = await openai.chat.completions.create({ model: 'gpt-5', messages: [{ role: 'user', content: 'What are the three laws of robotics?' }], }); console.log(completion.choices[0].message.content);
High-intent search queries and answers about installing and using this skill.
Chat Completions API integration involves installing the OpenAI SDK, setting your API key, and calling the completions endpoint with model and message parameters. This Skill covers setup, streaming, function calling, and structured outputs for GPT-5 and GPT-4o models across Node.js and fetch-based environments.
Yes. This Skill provides fetch-based approaches for stateless operations in edge runtimes like Cloudflare Workers, enabling you to run OpenAI integrations without traditional server infrastructure while handling rate limits and error cases.
Use OpenAI's Embeddings API to generate vector representations, then store and retrieve them for retrieval-augmented generation. This Skill covers token management, batch processing, and integrating embeddings into multi-step AI workflows with error handling.
Multimodal integration combines Chat Completions with DALL-E 3 for image generation, Whisper and TTS for audio processing, and the Moderation API for content safety. This Skill provides production-ready patterns and error handling across all endpoints.
Streaming with server-sent events (SSE) requires handling partial responses and connection management. This Skill addresses streaming constraints, token limits, rate limiting, and JSON-schema validation to ensure reliable production deployments.
Both approaches work. The SDK simplifies authentication and error handling, while fetch-based calls offer compatibility with edge runtimes. This Skill covers both methods, letting you choose based on your platform and deployment environment.
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