Prompt Optimizer

Overview

Optimize vague prompts into precise, actionable specifications using EARS (Easy Approach to Requirements Syntax) - a Rolls-Royce methodology for transforming natural language into structured, testable requirements.

Methodology inspired by: This skill's approach to combining EARS with domain theory grounding was inspired by 阿星AI工作室 (A-Xing AI Studio), which demonstrated practical EARS application for prompt enhancement.

Four-layer enhancement process:

1. EARS syntax transformation - Convert descriptive language to normative specifications
2. Domain theory grounding - Apply relevant industry frameworks (GTD, BJ Fogg, Gestalt, etc.)
3. Example extraction - Surface concrete use cases with real data
4. Structured prompt generation - Format using Role/Skills/Workflows/Examples/Formats framework

When to Use

Apply when: - User provides vague feature requests ("build a dashboard", "create a reminder app") - Requirements lack specific conditions, triggers, or measurable outcomes - Natural language descriptions need conversion to testable specifications - User explicitly requests prompt optimization or requirement refinement

Six-Step Optimization Workflow

Step 1: Analyze Original Requirement

Identify weaknesses: - Overly broad - "Add user authentication" → Missing password requirements, session management - Missing triggers - "Send notifications" → Missing when/why notifications trigger - Ambiguous actions - "Make it user-friendly" → No measurable usability criteria - No constraints - "Process payments" → Missing security, compliance requirements

Step 2: Apply EARS Transformation

Convert requirements to EARS patterns. See references/ears_syntax.md for complete syntax rules.

Five core patterns: 1. Ubiquitous: The system shall <action> 2. Event-driven: When <trigger>, the system shall <action> 3. State-driven: While <state>, the system shall <action> 4. Conditional: If <condition>, the system shall <action> 5. Unwanted behavior: If <condition>, the system shall prevent <unwanted action>

Quick example:

Before: "Create a reminder app with task management"

After (EARS):
1. When user creates a task, the system shall guide decomposition into executable sub-tasks
2. When task deadline is within 30 minutes AND user has not started, the system shall send notification with sound alert
3. When user completes a sub-task, the system shall update progress and provide positive feedback

Transformation checklist: - [ ] Identify implicit conditions and make explicit - [ ] Specify triggering events or states - [ ] Use precise action verbs (shall, must, should) - [ ] Add measurable criteria ("within 30 minutes", "at least 8 characters") - [ ] Break compound requirements into atomic statements - [ ] Remove ambiguous language ("user-friendly", "fast")

Step 3: Identify Domain Theories

Match requirements to established frameworks. See references/domain_theories.md for full catalog.

Common domain mappings: - Productivity → GTD, Pomodoro, Eisenhower Matrix - Behavior Change → BJ Fogg Model (B=MAT), Atomic Habits - UX Design → Hick's Law, Fitts's Law, Gestalt Principles - Security → Zero Trust, Defense in Depth, Privacy by Design

Selection process: 1. Identify primary domain from requirement keywords 2. Match to 2-4 complementary theories 3. Apply theory principles to specific features 4. Cite theories in enhanced prompt for credibility

Step 4: Extract Concrete Examples

Generate specific examples with real data: - User scenarios: "When user logs in on mobile device..." - Data examples: "Product: 'Laptop', Price: $999, Stock: 15" - Workflow examples: "Task: Write report → Sub-tasks: Research (2h), Draft (3h), Edit (1h)"

Examples must be realistic, specific, varied (success/error/edge cases), and testable.

Step 5: Generate Enhanced Prompt

Structure using the standard framework:

# Role
[Specific expert role with domain expertise]

## Skills
- [Core capability 1]
- [Core capability 2]
[List 5-8 skills aligned with domain theories]

## Workflows
1. [Phase 1] - [Key activities]
2. [Phase 2] - [Key activities]
[Complete step-by-step process]

## Examples
[Concrete examples with real data, not placeholders]

## Formats
[Precise output specifications:
- File types, structure requirements
- Design/styling expectations
- Technical constraints
- Deliverable checklist]

Quality criteria: - Role specificity: "Product designer specializing in time management apps" > "Designer" - Theory grounding: Reference frameworks explicitly - Actionable workflows: Clear inputs/outputs and decision points - Concrete examples: Real data, not "Example 1", "Example 2" - Measurable formats: Specific requirements, not "good design"

Step 6: Present Optimization Results

Output in structured format:

## Original Requirement
[User's vague requirement]

**Identified Issues:**
- [Issue 1: e.g., "Lacks specific trigger conditions"]
- [Issue 2: e.g., "No measurable success criteria"]

## EARS Transformation
[Numbered list of EARS-formatted requirements]

## Domain & Theories
**Primary Domain:** [e.g., Authentication Security]

**Applicable Theories:**
- **[Theory 1]** - [Brief relevance]
- **[Theory 2]** - [Brief relevance]

## Enhanced Prompt
[Complete Role/Skills/Workflows/Examples/Formats prompt]

---

**How to use:**
[Brief guidance on applying the prompt]

Advanced Techniques

For complex scenarios, see references/advanced_techniques.md: - Multi-stakeholder requirements - EARS statements for each user type - Non-functional requirements - Performance, security, scalability with quantified thresholds - Complex conditional logic - Nested conditions with boolean operators

Quick Reference

Do's: ✅ Break down compound requirements (one EARS statement per requirement) ✅ Specify measurable criteria (numbers, timeframes, percentages) ✅ Include error/edge cases ✅ Ground in established theories ✅ Use concrete examples with real data

Don'ts: ❌ Avoid vague language ("fast", "user-friendly") ❌ Don't assume implicit knowledge ❌ Don't mix multiple actions in one statement ❌ Don't use placeholders in examples

Resources

Load these reference files as needed:

• references/ears_syntax.md - Complete EARS syntax rules, all 5 patterns, transformation guidelines, benefits
• references/domain_theories.md - 40+ theories mapped to 10 domains (productivity, UX, gamification, learning, e-commerce, security, etc.)
• references/examples.md - Four complete transformation examples (procrastination app, e-commerce product page, learning dashboard, password reset security) with before/after comparisons and reusable template
• references/advanced_techniques.md - Multi-stakeholder requirements, non-functional specs, complex conditional logic patterns

When to load references: - EARS syntax clarification needed → ears_syntax.md - Domain theory selection requires extensive options → domain_theories.md - User requests multiple optimization examples → examples.md - Complex requirements with multiple stakeholders or non-functional specs → advanced_techniques.md