openai-prompt-engineer
Generate and improve prompts using best practices for OpenAI GPT-5 and other LLMs. Apply advanced techniques like chain-of-thought, few-shot prompting, and progressive disclosure.
npx skills add majiayu000/claude-skill-registry --skill openai-prompt-engineer --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.
# OpenAI Prompt Engineer A comprehensive skill for crafting, analyzing, and improving prompts for OpenAI's GPT-5 and other modern Large Language Models (LLMs), with focus on GPT-5-specific optimizations and universal prompting techniques. ## What This Skill Does Helps you create and optimize prompts using cutting-edge techniques: - **Generate new prompts** - Build effective prompts from scratch - **Improve existing prompts** - Enhance clarity, structure, and results - **Apply best practices** - Use proven techniques for each model - **Optimize for specific models** - GPT-5, Claude-specific strategies - **Implement advanced patterns** - Chain-of-thought, few-shot, structured prompting - **Analyze prompt quality** - Identify issues and suggest improvements ## Why Prompt Engineering Matters **Without good prompts:** - Inconsistent or incorrect outputs - Poor instruction following - Wasted tokens and API costs - Multiple attempts needed - Unpredictable behavior **With optimized prompts:** - Accurate, consistent results - Better instruction adherence - Lower costs and latency - First-try success - Predictable, reliable outputs ## Supported Models & Approaches ### GPT-5 (OpenAI) - Struct
- What This Skill Does
- Why Prompt Engineering Matters
- Supported Models & Approaches
- GPT-5 (OpenAI)
- Claude (Anthropic)
- Universal Techniques
- Core Prompting Principles
- 1. Be Clear and Specific
- 2. Provide Structure
- 3. Use Examples (Few-Shot)
- 4. Enable Reasoning
- 5. Define Output Format
- Prompt Engineering Workflow
- 1. Define Your Goal
What does the openai-prompt-engineer skill do?
Generate and improve prompts using best practices for OpenAI GPT-5 and other LLMs. Apply advanced techniques like chain-of-thought, few-shot prompting, and progressive disclosure.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill openai-prompt-engineer --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.