gpt
OpenAI GPT integration. Chat completions, image generation, embeddings, and fine-tuning via OpenAI API.
npx skills add majiayu000/claude-skill-registry --skill gpt --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# GPT 🤖 OpenAI GPT integration. ## Setup ```bash export OPENAI_API_KEY="sk-..." ``` ## Features - Chat completions (GPT-4, GPT-4o) - Image generation (DALL-E) - Text embeddings - Fine-tuning - Assistants API ## Usage Examples ``` "Ask GPT: Explain quantum computing" "Generate image of a sunset" "Create embeddings for this text" ``` ## API Reference ```bash curl -s https://api.openai.com/v1/chat/completions \ -H "Authorization: Bearer $OPENAI_API_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"gpt-4o","messages":[{"role":"user","content":"Hello"}]}' ```
- Setup
- Features
- Usage Examples
- API Reference
export OPENAI_API_KEY="sk-..." curl -s https://api.openai.com/v1/chat/completions \
What does the gpt skill do?
OpenAI GPT integration. Chat completions, image generation, embeddings, and fine-tuning via OpenAI API.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gpt --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.