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:
- EARS syntax transformation - Convert descriptive language to normative specifications
- Domain theory grounding - Apply relevant industry frameworks (GTD, BJ Fogg, Gestalt, etc.)
- Example extraction - Surface concrete use cases with real data
- 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:
- Ubiquitous:
The system shall <action>
- Event-driven:
When <trigger>, the system shall <action>
- State-driven:
While <state>, the system shall <action>
- Conditional:
If <condition>, the system shall <action>
- 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:
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:
- Identify primary domain from requirement keywords
- Match to 2-4 complementary theories
- Apply theory principles to specific features
- 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
Converted and distributed by TomeVault — claim your Tome and manage your conversions.
1---2name: prompt-optimizer-53description: Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. This skill should be used when users provide loose requirements, ambiguous feature descriptions, or need to enhance prompts for AI-generated code, products, or documents. Triggers include requests to "optimize my prompt", "improve this requirement", "make this more specific", or when raw requirements lack detail and structure. Use when this capability is needed.4---56# Prompt Optimizer78## Overview910Optimize 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.1112**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)](https://mp.weixin.qq.com/s/yUVX-9FovSq7ZGChkHpuXQ), which demonstrated practical EARS application for prompt enhancement.1314**Four-layer enhancement process:**15161. **EARS syntax transformation** - Convert descriptive language to normative specifications172. **Domain theory grounding** - Apply relevant industry frameworks (GTD, BJ Fogg, Gestalt, etc.)183. **Example extraction** - Surface concrete use cases with real data194. **Structured prompt generation** - Format using Role/Skills/Workflows/Examples/Formats framework2021## When to Use2223Apply when:24- User provides vague feature requests ("build a dashboard", "create a reminder app")25- Requirements lack specific conditions, triggers, or measurable outcomes26- Natural language descriptions need conversion to testable specifications27- User explicitly requests prompt optimization or requirement refinement2829## Six-Step Optimization Workflow3031### Step 1: Analyze Original Requirement3233Identify weaknesses:34- **Overly broad** - "Add user authentication" → Missing password requirements, session management35- **Missing triggers** - "Send notifications" → Missing when/why notifications trigger36- **Ambiguous actions** - "Make it user-friendly" → No measurable usability criteria37- **No constraints** - "Process payments" → Missing security, compliance requirements3839### Step 2: Apply EARS Transformation4041Convert requirements to EARS patterns. See `references/ears_syntax.md` for complete syntax rules.4243**Five core patterns:**441. **Ubiquitous**: `The system shall <action>`452. **Event-driven**: `When <trigger>, the system shall <action>`463. **State-driven**: `While <state>, the system shall <action>`474. **Conditional**: `If <condition>, the system shall <action>`485. **Unwanted behavior**: `If <condition>, the system shall prevent <unwanted action>`4950**Quick example:**51```52Before: "Create a reminder app with task management"5354After (EARS):551. When user creates a task, the system shall guide decomposition into executable sub-tasks562. When task deadline is within 30 minutes AND user has not started, the system shall send notification with sound alert573. When user completes a sub-task, the system shall update progress and provide positive feedback58```5960**Transformation checklist:**61- [ ] Identify implicit conditions and make explicit62- [ ] Specify triggering events or states63- [ ] Use precise action verbs (shall, must, should)64- [ ] Add measurable criteria ("within 30 minutes", "at least 8 characters")65- [ ] Break compound requirements into atomic statements66- [ ] Remove ambiguous language ("user-friendly", "fast")6768### Step 3: Identify Domain Theories6970Match requirements to established frameworks. See `references/domain_theories.md` for full catalog.7172**Common domain mappings:**73- **Productivity** → GTD, Pomodoro, Eisenhower Matrix74- **Behavior Change** → BJ Fogg Model (B=MAT), Atomic Habits75- **UX Design** → Hick's Law, Fitts's Law, Gestalt Principles76- **Security** → Zero Trust, Defense in Depth, Privacy by Design7778**Selection process:**791. Identify primary domain from requirement keywords802. Match to 2-4 complementary theories813. Apply theory principles to specific features824. Cite theories in enhanced prompt for credibility8384### Step 4: Extract Concrete Examples8586Generate specific examples with real data:87- User scenarios: "When user logs in on mobile device..."88- Data examples: "Product: 'Laptop', Price: $999, Stock: 15"89- Workflow examples: "Task: Write report → Sub-tasks: Research (2h), Draft (3h), Edit (1h)"9091Examples must be **realistic**, **specific**, **varied** (success/error/edge cases), and **testable**.9293### Step 5: Generate Enhanced Prompt9495Structure using the standard framework:9697```markdown98# Role99[Specific expert role with domain expertise]100101## Skills102- [Core capability 1]103- [Core capability 2]104[List 5-8 skills aligned with domain theories]105106## Workflows1071. [Phase 1] - [Key activities]1082. [Phase 2] - [Key activities]109[Complete step-by-step process]110111## Examples112[Concrete examples with real data, not placeholders]113114## Formats115[Precise output specifications:116- File types, structure requirements117- Design/styling expectations118- Technical constraints119- Deliverable checklist]120```121122**Quality criteria:**123- **Role specificity**: "Product designer specializing in time management apps" > "Designer"124- **Theory grounding**: Reference frameworks explicitly125- **Actionable workflows**: Clear inputs/outputs and decision points126- **Concrete examples**: Real data, not "Example 1", "Example 2"127- **Measurable formats**: Specific requirements, not "good design"128129### Step 6: Present Optimization Results130131Output in structured format:132133```markdown134## Original Requirement135[User's vague requirement]136137**Identified Issues:**138- [Issue 1: e.g., "Lacks specific trigger conditions"]139- [Issue 2: e.g., "No measurable success criteria"]140141## EARS Transformation142[Numbered list of EARS-formatted requirements]143144## Domain & Theories145**Primary Domain:** [e.g., Authentication Security]146147**Applicable Theories:**148- **[Theory 1]** - [Brief relevance]149- **[Theory 2]** - [Brief relevance]150151## Enhanced Prompt152[Complete Role/Skills/Workflows/Examples/Formats prompt]153154---155156**How to use:**157[Brief guidance on applying the prompt]158```159160## Advanced Techniques161162For complex scenarios, see `references/advanced_techniques.md`:163- **Multi-stakeholder requirements** - EARS statements for each user type164- **Non-functional requirements** - Performance, security, scalability with quantified thresholds165- **Complex conditional logic** - Nested conditions with boolean operators166167## Quick Reference168169**Do's:**170✅ Break down compound requirements (one EARS statement per requirement)171✅ Specify measurable criteria (numbers, timeframes, percentages)172✅ Include error/edge cases173✅ Ground in established theories174✅ Use concrete examples with real data175176**Don'ts:**177❌ Avoid vague language ("fast", "user-friendly")178❌ Don't assume implicit knowledge179❌ Don't mix multiple actions in one statement180❌ Don't use placeholders in examples181182## Resources183184Load these reference files as needed:185186- **`references/ears_syntax.md`** - Complete EARS syntax rules, all 5 patterns, transformation guidelines, benefits187- **`references/domain_theories.md`** - 40+ theories mapped to 10 domains (productivity, UX, gamification, learning, e-commerce, security, etc.)188- **`references/examples.md`** - Four complete transformation examples (procrastination app, e-commerce product page, learning dashboard, password reset security) with before/after comparisons and reusable template189- **`references/advanced_techniques.md`** - Multi-stakeholder requirements, non-functional specs, complex conditional logic patterns190191**When to load references:**192- EARS syntax clarification needed → `ears_syntax.md`193- Domain theory selection requires extensive options → `domain_theories.md`194- User requests multiple optimization examples → `examples.md`195- Complex requirements with multiple stakeholders or non-functional specs → `advanced_techniques.md`196197---198> Converted and distributed by [TomeVault](https://tomevault.io/claim/daymade) — claim your Tome and manage your conversions.199<!-- tomevault:4.0:skill_md:2026-04-11 -->