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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/prompt-engineering-openai-api-f7c24501-ypyt1/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How prompt-engineering-openai-api-f7c24501 Compares
| Feature / Agent | prompt-engineering-openai-api-f7c24501 | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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
---
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