Prompt Optimizer

A comprehensive prompt engineering skill that helps users craft high-quality, effective prompts using proven frameworks.

Workflow

When a user requests prompt optimization, follow these steps:

Step 1: Analyze User Input

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

Step 2: Match Scenario and Select Framework

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

Step 3: Load Framework Details

Once the best framework is identified, read the corresponding framework file from the references/frameworks/ directory:

• 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

Step 4: Clarify Ambiguities

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?"

Step 5: Generate Optimized Prompt

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

Step 6: Present and Iterate

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.

Framework Reference Files

All framework details are stored in the references/frameworks/ directory. Each file contains:

• Application scenarios

• Framework components with explanations

• Advantages and disadvantages

• Multiple practical examples

Quick Framework Selection

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