Complete reference for OpenAI's stateless APIs including Chat Completions, embeddings, images, audio, and moderation.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add jezweb/claude-skills --skill openai-apiCompatible with
Supported agents
Supports GPT-5 series (with reasoning_effort control), GPT-4o multimodal, o3 reasoning models, and legacy GPT-4 variants; streaming, function calling, and structured JSON outputs included
Embeddings API for RAG with custom dimensions (256–3072), DALL-E 3 image generation, Whisper transcription, and TTS with 11 voices
Batch API for 50% cost savings on large-scale proce
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionopenai-apiExecute the skills CLI command in your project's root directory to begin installation:
epx add jezweb/claude-skills --skill openai-apiFetches openai-api from jezweb/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/openai-api
Restart Cursor to activate openai-api. Access via /openai-apiin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
openai-docs
openai/skills · AI/ML · tag: openai
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Solid pick for teams standardizing on skills: openai-api is focused, and the summary matches what you get after install.
openai-api fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for openai-api matched our evaluation — installs cleanly and behaves as described in the markdown.
We added openai-api from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in openai-api — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
openai-api reduced setup friction for our internal harness; good balance of opinion and flexibility.
openai-api is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for openai-api matched our evaluation — installs cleanly and behaves as described in the markdown.
openai-api fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added openai-api from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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