prompt-optimizer
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ChinesePrompt Optimizer
提示词优化工具
A comprehensive prompt engineering skill that helps users craft high-quality, effective prompts using proven frameworks.
这是一款全面的提示词工程工具，可借助经过验证的框架帮助用户打造高质量、高效的提示词。
Workflow
工作流程
Copy this checklist and track your progress:
- Step 1: Analyze User Input
- Step 2: Match Scenario and Select Framework
- Step 3: Load Framework Details
- Step 4: Clarify Ambiguities
- Step 5: Generate Optimized Prompt
- Step 6: Present and Iterate
When a user requests create or prompt optimization, follow these steps:
复制此清单并跟踪你的进度：
- 步骤1：分析用户输入
- 步骤2：匹配场景并选择框架
- 步骤3：加载框架详情
- 步骤4：澄清模糊点
- 步骤5：生成优化后的提示词
- 步骤6：呈现并迭代
当用户请求创建或优化提示词时，请遵循以下步骤：
Step 1: Analyze User Input
步骤1：分析用户输入
Receive the user's request, which may be:
- A raw prompt that needs optimization
- A task description or requirement
- A vague idea that needs to be turned into a prompt
接收用户的请求，请求可能包括：
- 需要优化的原始提示词
- 任务描述或需求
- 需要转化为提示词的模糊想法
Step 2: Match Scenario and Select Framework
步骤2：匹配场景并选择框架
Read the references/Frameworks_Summary.md file to:
- Identify the user's scenario from the application scenarios listed
- Match the most suitable framework(s) based on:
- Application scenario alignment
- Task complexity (simple/medium/complex)
- Domain category (marketing, decision analysis, education, etc.)
Framework Selection Guide by Complexity:
| Complexity | Recommended Frameworks |
|---|---|
| Simple (≤3 elements) | APE, ERA, TAG, RTF, BAB, PEE, ELI5 |
| Medium (4-5 elements) | RACE, CIDI, SPEAR, SPAR, FOCUS, SMART, GOPA, ORID, CARE, ROSE, PAUSE, TRACE, GRADE, TRACI, RODES |
| Complex (6+ elements) | RACEF, CRISPE, SCAMPER, Six Thinking Hats, ROSES, PROMPT, RISEN, RASCEF, Atomic Prompting |
Framework Selection Guide by Domain:
| Domain | Recommended Frameworks |
|---|---|
| Marketing Content | BAB, SPEAR, Challenge-Solution-Benefit, BLOG, PROMPT, RHODES |
| Decision Analysis | RICE, Pros and Cons, Six Thinking Hats, Tree of Thought, PAUSE, What If |
| Education & Training | Bloom's Taxonomy, ELI5, Socratic Method, PEE, Hamburger Model |
| Product Development | SCAMPER, HMW, CIDI, RELIC, 3Cs Model |
| AI Dialogue/Assistant | COAST, ROSES, TRACE, RACE, RASCEF |
| Writing & Creation | BLOG, 4S Method, Hamburger Model, Few-shot, RHODES, Chain of Destiny |
| Image Generation | Atomic Prompting |
| Quick Simple Tasks | Zero-shot, ERA, TAG, APE, RTF |
| Complex Reasoning | Chain of Thought, Tree of Thought |
阅读references/Frameworks_Summary.md文件，完成以下操作：
- 从列出的应用场景中识别用户的场景
- 基于以下因素匹配最合适的框架：
- 应用场景匹配度
- 任务复杂度（简单/中等/复杂）
- 领域类别（营销、决策分析、教育等）
按复杂度划分的框架选择指南：
| 复杂度 | 推荐框架 |
|---|---|
| 简单（≤3个要素） | APE, ERA, TAG, RTF, BAB, PEE, ELI5 |
| 中等（4-5个要素） | RACE, CIDI, SPEAR, SPAR, FOCUS, SMART, GOPA, ORID, CARE, ROSE, PAUSE, TRACE, GRADE, TRACI, RODES |
| 复杂（6+个要素） | RACEF, CRISPE, SCAMPER, Six Thinking Hats, ROSES, PROMPT, RISEN, RASCEF, Atomic Prompting |
按领域划分的框架选择指南：
| 领域 | 推荐框架 |
|---|---|
| 营销内容 | BAB, SPEAR, Challenge-Solution-Benefit, BLOG, PROMPT, RHODES |
| 决策分析 | RICE, Pros and Cons, Six Thinking Hats, Tree of Thought, PAUSE, What If |
| 教育与培训 | Bloom's Taxonomy, ELI5, Socratic Method, PEE, Hamburger Model |
| 产品开发 | SCAMPER, HMW, CIDI, RELIC, 3Cs Model |
| AI对话/助手 | COAST, ROSES, TRACE, RACE, RASCEF |
| 写作与创作 | BLOG, 4S Method, Hamburger Model, Few-shot, RHODES, Chain of Destiny |
| 图像生成 | Atomic Prompting |
| 快速简单任务 | Zero-shot, ERA, TAG, APE, RTF |
| 复杂推理 | Chain of Thought, Tree of Thought |
Step 3: Load Framework Details
步骤3：加载框架详情
Once the best framework is identified, read the corresponding framework file from the directory:
references/frameworks/- File naming pattern:
XX_FrameworkName_Framework.md - Example: For RACEF framework, read
references/frameworks/01_RACEF_Framework.md
The framework file contains:
- Framework overview and components
- Detailed explanation of each element
- Pros and cons
- Best practice examples
确定最佳框架后，从目录中读取对应的框架文件：
references/frameworks/- 文件命名模式：
XX_FrameworkName_Framework.md - 示例：对于RACEF框架，读取
references/frameworks/01_RACEF_Framework.md
框架文件包含：
- 框架概述与组成部分
- 每个要素的详细说明
- 优缺点
- 最佳实践示例
Step 4: Clarify Ambiguities
步骤4：澄清模糊点
Before generating the final prompt, verify with the user:
- Goal Clarity: Is the intended outcome clear?
- Target Audience: Who will receive the AI's response?
- Context Completeness: Is sufficient background information provided?
- Format Requirements: Are there specific output format needs?
- Constraints: Are there any limitations or restrictions?
Ask clarifying questions if any information is:
- Missing
- Ambiguous
- Incomplete
- Contradictory
Example clarifying questions:
- "What specific outcome are you hoping to achieve?"
- "Who is the target audience for this content?"
- "Are there any format or length requirements?"
- "What context should the AI consider?"
在生成最终提示词前，与用户确认以下内容：
- 目标清晰度：预期结果是否明确？
- 目标受众：谁会接收AI的响应？
- 上下文完整性：是否提供了足够的背景信息？
- 格式要求：是否有特定的输出格式需求？
- 约束条件：是否存在任何限制或约束？
如果任何信息存在以下情况，请提出澄清问题：
- 缺失
- 模糊
- 不完整
- 矛盾
示例澄清问题：
- "你希望达成的具体结果是什么？"
- "此内容的目标受众是谁？"
- "是否有格式或长度要求？"
- "AI需要考虑哪些上下文信息？"
Step 5: Generate Optimized Prompt
步骤5：生成优化后的提示词
Apply the selected framework to create the final prompt:
- Structure the prompt according to framework components
- Incorporate all clarified information
- Ensure clarity and specificity
- Include relevant examples if the framework requires
- Add any necessary constraints or guidelines
应用选定的框架创建最终提示词：
- 根据框架组件构建提示词结构
- 整合所有已澄清的信息
- 确保清晰具体
- 如果框架要求，包含相关示例
- 添加任何必要的约束或指南
Step 6: Present and Iterate
步骤6：呈现并迭代
Present the optimized prompt to the user with:
- The selected framework name and why it was chosen
- The complete optimized prompt
- Explanation of how each framework element was applied
- Suggestions for potential variations or improvements
If the user requests changes, iterate on the prompt while maintaining framework structure.
向用户展示优化后的提示词，同时提供：
- 选定的框架名称及其被选中的原因
- 完整的优化后提示词
- 每个框架要素的应用说明
- 潜在变体或改进建议
如果用户请求修改，在保持框架结构的前提下对提示词进行迭代优化。
Framework Reference Files
框架参考文件
All framework details are stored in the directory. Each file contains:
references/frameworks/- Application scenarios
- Framework components with explanations
- Advantages and disadvantages
- Multiple practical examples
所有框架详情均存储在目录中。每个文件包含：
references/frameworks/- 应用场景
- 带说明的框架组件
- 优缺点
- 多个实用示例
Quick Framework Selection
快速框架选择
For users unsure which framework to use:
| User Says | Recommended Framework |
|---|---|
| "I need a simple prompt" | APE, ERA, TAG |
| "I want to persuade/sell" | BAB, SPEAR, Challenge-Solution-Benefit |
| "I need to analyze/decide" | RICE, Pros and Cons, Chain of Thought |
| "I want to teach/explain" | ELI5, Bloom's Taxonomy, Socratic Method |
| "I need creative ideas" | SCAMPER, HMW, SPARK, Imagine |
| "I want structured writing" | BLOG, 4S Method, Hamburger Model |
| "I need step-by-step reasoning" | Chain of Thought, Tree of Thought |
| "I'm generating images" | Atomic Prompting |
| "I need a detailed plan" | RISEN, RASCEF, CRISPE |
对于不确定使用哪种框架的用户：
| 用户需求 | 推荐框架 |
|---|---|
| "我需要一个简单的提示词" | APE, ERA, TAG |
| "我想要说服/推销" | BAB, SPEAR, Challenge-Solution-Benefit |
| "我需要分析/做决策" | RICE, Pros and Cons, Chain of Thought |
| "我想要教学/解释" | ELI5, Bloom's Taxonomy, Socratic Method |
| "我需要创意想法" | SCAMPER, HMW, SPARK, Imagine |
| "我想要结构化写作" | BLOG, 4S Method, Hamburger Model |
| "我需要分步推理" | Chain of Thought, Tree of Thought |
| "我正在生成图像" | Atomic Prompting |
| "我需要一个详细计划" | RISEN, RASCEF, CRISPE |