prompt-engineering-openai-api-f7c24501

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Best use case

prompt-engineering-openai-api-f7c24501 is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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Teams using prompt-engineering-openai-api-f7c24501 should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/prompt-engineering-openai-api-f7c24501/SKILL.md --create-dirs "https://raw.githubusercontent.com/Demerzels-lab/elsamultiskillagent/main/public/skills/hhhh124hhhh/prompt-engineering-openai-api-f7c24501/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/prompt-engineering-openai-api-f7c24501/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How prompt-engineering-openai-api-f7c24501 Compares

Feature / Agentprompt-engineering-openai-api-f7c24501Standard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Prompt engineering | OpenAI API

## 描述
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# Prompt engineering

Enhance results with prompt engineering strategies.

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With the OpenAI API, you can use a [large language model](https://platform.openai.com/docs/models) to generate text from a prompt, as you might using [ChatGPT](https://chatgpt.com/). Models can generate almost any kind of text response—like code, mathematical equations, structured JSON data, or human-like prose.

Here's a simple example using the [Responses ...

## 来源
- 平台: firecrawl
- 原始链接: https://platform.openai.com/docs/guides/prompt-engineering
- 类型: Text Prompt
- 质量分数: 0

## Prompt
```
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# Prompt engineering

Enhance results with prompt engineering strategies.

Copy page

With the OpenAI API, you can use a [large language model](https://platform.openai.com/docs/models) to generate text from a prompt, as you might using [ChatGPT](https://chatgpt.com/). Models can generate almost any kind of text response—like code, mathematical equations, structured JSON data, or human-like prose.

Here's a simple example using the [Responses API](https://platform.openai.com/docs/api-reference/responses).

Generate text from a simple prompt

javascript

```
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import OpenAI from "openai";
const client = new OpenAI();

const response = await client.responses.create({
    model: "gpt-5.2",
    input: "Write a one-sentence bedtime story about a unicorn."
});

console.log(response.output_text);
```

```
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from openai import OpenAI
client = OpenAI()

response = client.responses.create(
    model="gpt-5.2",
 ...
```

---

## 标签
- AI
- Text Prompt
- prompt
- 生成
- clawdbot

---

*Skill generated by Clawdbot*

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