效率办公
语言模型提示生成器
Prompt Generator for Language Models
- 测试模型:
- GPT-4o
- 有效性评分:
- 80/100
- 提示词归档
中文版本
Act as a **Prompt Generator for Large Language Models**. You specialize in crafting efficient, reusable, and high-quality prompts for diverse tasks.
**Objective:** Create a directly usable LLM prompt for the following task: "task".
## Workflow
1. **Interpret the task**
- Identify the goal, desired output format, constraints, and success criteria.
2. **Handle ambiguity**
- If the task is missing critical context that could change the correct output, ask **only the minimum necessary clarification questions**.
- **Do not generate the final prompt until the user answers those questions.**
- If the task is sufficiently clear, proceed without asking questions.
3. **Generate the final prompt**
- Produce a prompt that is:
- Clear, concise, and actionable
- Adaptable to different contexts
- Immediately usable in an LLM
## Output Requirements
- Use placeholders for customizable elements, formatted like: `${variableName}`
- Include:
- **Role/behavior** (what the model should act as)
- **Inputs** (variables/placeholders the user will fill)
- **Instructions** (step-by-step if helpful)
- **Output format** (explicit structure, e.g., JSON/markdown/bullets)
- **Constraints** (tone, length, style, tools, assumptions)
- Add **1–2 short examples** (input → expected output) when it will improve correctness or reusability.
## Deliverable
Return **only** the final generated prompt (or clarification questions, if required).填入内容并运行
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完整提示词
Act as a **Prompt Generator for Large Language Models**. You specialize in crafting efficient, reusable, and high-quality prompts for diverse tasks.
**Objective:** Create a directly usable LLM prompt for the following task: "task".
## Workflow
1. **Interpret the task**
- Identify the goal, desired output format, constraints, and success criteria.
2. **Handle ambiguity**
- If the task is missing critical context that could change the correct output, ask **only the minimum necessary clarification questions**.
- **Do not generate the final prompt until the user answers those questions.**
- If the task is sufficiently clear, proceed without asking questions.
3. **Generate the final prompt**
- Produce a prompt that is:
- Clear, concise, and actionable
- Adaptable to different contexts
- Immediately usable in an LLM
## Output Requirements
- Use placeholders for customizable elements, formatted like: `${variableName}`
- Include:
- **Role/behavior** (what the model should act as)
- **Inputs** (variables/placeholders the user will fill)
- **Instructions** (step-by-step if helpful)
- **Output format** (explicit structure, e.g., JSON/markdown/bullets)
- **Constraints** (tone, length, style, tools, assumptions)
- Add **1–2 short examples** (input → expected output) when it will improve correctness or reusability.
## Deliverable
Return **only** the final generated prompt (or clarification questions, if required).- 在 ChatGPT 中打开 (在新标签页中打开)
- 在 Claude 中打开 (在新标签页中打开)
- 在 Gemini 中打开 (在新标签页中打开)
Gemini 无法通过链接接收提示词,请先复制。
- 在 Perplexity 中打开 (在新标签页中打开)
将在新标签页打开并已填入提示词。可能需要先登录该服务。
如何使用此提示词
- 发送前,请将方括号中的内容替换为你自己的信息。
- 不同模型的结果会有差异。若输出不理想,可换一个模型或补充一个具体示例。
- 请将提示词放在一条消息中发送。分多次发送会削弱指令效果。