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    openclaw

    prompt-rewriter

    openclaw/prompt-rewriter
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    SKILL.md

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    About

    Advanced prompt rewriting and optimization service. Analyzes prompts for clarity, specificity, structure, completeness, and usability...

    SKILL.md

    Prompt Rewriter

    Overview

    Help users transform vague, ineffective prompts into powerful, well-structured instructions that produce consistent, high-quality results from AI models. Analyzes prompts across multiple quality dimensions and provides actionable suggestions.

    Quick Start

    User says: "Help me rewrite this prompt: 'Write a blog post about AI'"

    You should:

    1. Analyze the original prompt's weaknesses (too vague, no audience specified, no format defined)
    2. Identify improvement areas (add topic specificity, target audience, tone, length, structure)
    3. Provide 2-3 rewrite options with different approaches
    4. Explain the changes and why they matter

    Core Capabilities

    1. Prompt Quality Analysis

    Evaluate prompts across five key dimensions:

    Clarity (0-2)

    • Is the request unambiguous?
    • Are terms defined?
    • Can Claude understand without clarification?

    Specificity (0-2)

    • Are constraints clear?
    • Is output format specified?
    • Are boundaries defined?

    Structure (0-2)

    • Is information organized logically?
    • Are steps clear if applicable?
    • Is there a framework?

    Completeness (0-2)

    • Is sufficient context provided?
    • Are requirements comprehensive?
    • Is missing information flagged?

    Usability (0-2)

    • Is it reusable?
    • Can it be adapted easily?
    • Is the language natural?

    Scoring:

    • 8-10: Excellent prompt, minor tweaks needed
    • 6-7: Good prompt, moderate improvements possible
    • 4-5: Functional but has significant weaknesses
    • 0-3: Poor prompt, needs major rework

    2. Rewrite Generation

    Generate 2-3 rewrite variations using different approaches:

    Variation 1: Conservative Fix

    • Keep original intent
    • Add specificity and structure
    • Minimal stylistic changes
    • Best when user wants to preserve voice

    Variation 2: Technique Enhancement

    • Apply prompt engineering patterns (CoT, few-shot, etc.)
    • Add advanced techniques
    • Focus on effectiveness
    • Best when user wants optimal results

    Variation 3: Simplification

    • Strip complexity while keeping core request
    • Make more conversational
    • Focus on ease of use
    • Best for beginners or quick tasks

    3. Improvement Explanation

    For each rewrite, explain:

    • What changed (specific modifications)
    • Why it matters (impact on AI output)
    • When to use (appropriate scenarios)

    4. Pattern Application

    Apply proven prompt engineering techniques:

    Chain of Thought (CoT)

    • "Let's think step by step"
    • "First, analyze... Then, evaluate..."
    • Best for: complex reasoning, math, logic

    Few-Shot Learning

    • Provide 2-3 examples before request
    • Pattern: Example 1 → Example 2 → Example 3 → Your task
    • Best for: format specification, style matching

    Role-Based Prompts

    • "Act as a senior engineer..."
    • "You are a marketing expert..."
    • Best for: specialized knowledge, tone control

    Output Structure

    • Use templates and headers
    • Define sections explicitly
    • Best for: reports, documentation, structured content

    Constraint Definition

    • "Limit response to 500 words"
    • "Exclude jargon for non-technical audience"
    • Best for: length control, accessibility

    5. A/B Testing Guidance

    Help users test prompts effectively:

    • Generate variations systematically
    • Suggest test methodology
    • Recommend evaluation criteria

    Workflow

    Step 1: Receive and Analyze

    1. Extract the prompt to rewrite
    2. Identify user's intent (what do they want to achieve?)
    3. Check for constraints (tone, format, length, audience)
    4. Evaluate against 5 quality dimensions
    5. Calculate score and identify primary weaknesses

    Step 2: Generate Rewrites

    1. Variation 1 (Conservative): Add structure, clarify terms, define output
    2. Variation 2 (Technique-Enhanced): Apply relevant patterns (CoT, few-shot, etc.)
    3. Variation 3 (Simplified): Make conversational, reduce complexity

    Step 3: Present Options

    For each rewrite:

    • Show the improved prompt
    • Explain the changes
    • Highlight which techniques were used
    • Recommend which to use based on context

    Step 4: Educational Component

    Briefly explain:

    • Which prompt engineering techniques were applied
    • Why they work in this context
    • How the user can apply them in future prompts

    Common Patterns and Fixes

    Pattern: Too Vague

    Weak: "Write about climate change" Fix: Add specificity - audience, purpose, format, depth

    Strong: "Write a 1000-word blog post for a general audience explaining climate change's causes, effects, and potential solutions. Use an optimistic but realistic tone. Include: (1) introduction with hook, (2) 3 main sections with data, (3) conclusion with actionable advice."

    Pattern: No Structure

    Weak: "Analyze this data" Fix: Add framework or step-by-step instructions

    Strong: "Analyze the sales data provided. Structure your response as:

    1. Executive Summary (3 bullet points of key findings)
    2. Detailed Analysis (break down by region and product)
    3. Trend Identification (what patterns emerge?)
    4. Recommendations (3 actionable steps based on data)"

    Pattern: Missing Context

    Weak: "Improve this email" Fix: Add context about audience, goal, constraints

    Strong: "Improve this email for a C-level executive audience. Goal: Get approval for a $50k project. Keep it under 200 words. Tone: Professional but persuasive. Current email: [paste]"

    Pattern: Unclear Output Format

    Weak: "Create marketing content" Fix: Specify format, style, deliverables

    Strong: "Create marketing content for our new product launch. Deliver:

    1. Social media post (LinkedIn, 150 words, professional tone)
    2. Email blurb (75 words, excitement-focused)
    3. Website headline (catchy, under 10 words)
    4. 3 key benefits (each under 15 words)"

    Examples

    Example 1: Content Creation

    Input Prompt: "Write an article about remote work"

    Analysis:

    • Clarity: 1/2 (clear topic but vague on specifics)
    • Specificity: 0/2 (no format, audience, length)
    • Structure: 0/2 (no framework)
    • Completeness: 0/2 (missing key details)
    • Usability: 1/2 (somewhat reusable)
    • Score: 2/10 - Major weaknesses across dimensions

    Rewrite Option 1 (Conservative):

    Write a 1500-word article about remote work for business professionals. Cover:
    1. Benefits of remote work (productivity, cost savings, flexibility)
    2. Challenges (isolation, communication, work-life balance)
    3. Best practices for success (routine, communication tools, workspace setup)
    4. Future trends (hybrid models, technology evolution)
    
    Tone: Informative and balanced
    Format: Use headings and bullet points
    

    Rewrite Option 2 (Technique-Enhanced):

    Act as an experienced remote work consultant. Write a comprehensive article about remote work for business leaders considering transitioning their teams.
    
    Structure your response using the following framework:
    
    **Introduction (150 words)**
    - Hook with a surprising statistic
    - Briefly state the article's purpose
    - Outline what will be covered
    
    **Section 1: The Business Case (400 words)**
    Let's think about this step by step:
    - Analyze cost benefits (real estate, equipment, turnover)
    - Evaluate productivity studies (with data sources)
    - Consider talent access (hiring from anywhere)
    
    **Section 2: Implementation Challenges (350 words)**
    - Communication breakdowns (provide examples)
    - Culture maintenance (specific strategies)
    - Performance management (tools and metrics)
    
    **Section 3: Success Framework (400 words)**
    Provide a concrete 90-day rollout plan:
    - Month 1: Foundation and tools
    - Month 2: Training and feedback
    - Month 3: Optimization and refinement
    
    **Conclusion (200 words)**
    - Summarize key takeaways
    - Provide 3 actionable next steps
    - End with an inspiring vision
    
    Tone: Professional yet engaging
    Examples: Include 2-3 real company case studies
    

    Rewrite Option 3 (Simplified):

    Write an article about remote work. Make it about 1500 words long and aimed at business people who are thinking about letting employees work from home. Talk about:
    - Why it's good (saves money, people like it)
    - What's hard (staying in touch, managing performance)
    - How to do it right (tools, schedules, clear expectations)
    
    Use a helpful, informative tone with clear headings.
    

    Recommendation: Use Option 2 if the user wants maximum impact. Use Option 1 for clarity and professionalism. Use Option 3 for quick, casual needs.


    Example 2: Code Review

    Input Prompt: "Review this code"

    Analysis:

    • Clarity: 0/2 (completely unclear what to look for)
    • Specificity: 0/2 (no criteria, no scope)
    • Structure: 0/2 (no framework)
    • Completeness: 0/2 (missing all context)
    • Usability: 0/2 (not reusable)
    • Score: 0/10 - Needs complete rework

    Rewrite Option 1 (Conservative):

    Review the code provided below. Focus on:
    1. Bugs or errors
    2. Performance issues
    3. Code style and readability
    4. Potential security vulnerabilities
    
    Provide specific line references and suggestions for each issue found.
    

    Rewrite Option 2 (Technique-Enhanced):

    Act as a senior software engineer conducting a thorough code review. Analyze the provided code following this systematic approach:
    
    **Step 1: Functional Analysis**
    Let's check if the code works correctly:
    - Verify logic correctness (walk through execution)
    - Check edge cases (null inputs, empty arrays, boundary conditions)
    - Validate error handling (try-catch blocks, meaningful error messages)
    
    **Step 2: Performance Evaluation**
    Analyze computational complexity:
    - Time complexity: Big-O notation
    - Space complexity: Memory usage
    - Identify any O(n²) or worse bottlenecks
    - Suggest optimization opportunities
    
    **Step 3: Security Review**
    Look for common vulnerabilities:
    - SQL injection risks
    - XSS vulnerabilities
    - Improper input validation
    - Sensitive data exposure
    
    **Step 4: Code Quality**
    Assess adherence to best practices:
    - Naming conventions (descriptive, consistent)
    - Comments (helpful, not redundant)
    - DRY principle (Don't Repeat Yourself)
    - Single Responsibility Principle
    
    **Step 5: Recommendations**
    Provide:
    - Priority-ranked list of issues (Critical > High > Medium > Low)
    - Specific code examples for fixes
    - Refactoring suggestions for improvement
    
    Code to review:
    

    Rewrite Option 3 (Simplified):

    Look at this code and tell me what's wrong or could be better. Check for bugs, slow parts, security issues, and things that are hard to understand. Give me specific suggestions with examples.
    
    Code:
    

    Recommendation: Option 2 is best for professional code reviews. Option 1 works for quick checks. Use Option 3 for informal feedback or beginners.


    Example 3: Email Writing

    Input Prompt: "Write an email asking for a meeting"

    Analysis:

    • Clarity: 1/2 (clear intent but vague context)
    • Specificity: 0/2 (no purpose, no agenda, no recipient type)
    • Structure: 0/2 (no format)
    • Completeness: 0/2 (missing all details)
    • Usability: 1/2 (somewhat reusable)
    • Score: 2/10 - Needs major improvement

    Rewrite Option 1 (Conservative):

    Write an email requesting a meeting with [recipient name]. Purpose: Discuss [topic].
    
    Include:
    - Brief introduction (context)
    - Meeting purpose (why we need to meet)
    - Proposed agenda (3-4 bullet points)
    - Suggested time options (provide 2-3 alternatives)
    - Call to action (confirmation request)
    
    Tone: Professional and respectful
    Length: Under 200 words
    

    Rewrite Option 2 (Technique-Enhanced):

    Act as an executive assistant drafting a meeting request email to [recipient type, e.g., senior executive/client].
    
    Context: We need to discuss [specific topic] to [desired outcome].
    
    Apply these principles:
    
    **Subject Line Best Practice**
    Make it specific and actionable: "Meeting Request: [Topic] - [Urgency/Timeframe]"
    Example: "Meeting Request: Q1 Strategy Alignment - This Week"
    
    **Opening Strategy**
    First, establish relevance in 1 sentence:
    - Reference prior conversation
    - Mention shared goal or project
    - Acknowledge their value/time
    
    **Value Proposition Frame**
    Instead of "I want to meet," use "We'll achieve X by meeting together":
    - "In 30 minutes, we can finalize the project timeline"
    - "This discussion will unblock the next phase of development"
    
    **Agenda Structure**
    Use the SCQA framework:
    1. **Situation** (current state)
    2. **Complication** (what's blocking us)
    3. **Question** (decision needed)
    4. **Answer** (your recommendation)
    
    **Time Options Psychology**
    Offer specific times with psychological anchors:
    - Tuesday 2pm (after lunch, high energy)
    - Thursday 10am (start of week, fresh)
    - Friday 3pm (end of week, closure mindset)
    
    **Closing**
    Make it easy to say yes:
    - "If these don't work, suggest your best time"
    - "I'll adjust to accommodate your schedule"
    
    Tone: Respectful of their time, clear on value
    Length: 150-180 words
    

    Rewrite Option 3 (Simplified):

    Write a short email asking for a meeting with [name]. We need to talk about [topic]. Suggest a few times that would work, mention what we'll cover, and ask them to confirm. Keep it friendly and brief.
    

    Recommendation: Option 2 is ideal for important business communications. Option 1 works for routine internal emails. Option 3 is fine for casual requests.


    Advanced Techniques

    Multiple Rewrites for A/B Testing

    When users need to test prompts systematically:

    1. Control: The original prompt
    2. Variation A: Change one variable (e.g., add examples)
    3. Variation B: Change a different variable (e.g., add role)
    4. Variation C: Combine A + B

    Suggest testing methodology:

    • Run each prompt 3-5 times with same input
    • Evaluate outputs on criteria (quality, consistency, usefulness)
    • Track which variation performs best

    Iterative Improvement

    Guide users through multiple rounds:

    Round 1: Initial rewrite (address major weaknesses) Round 2: Refine based on feedback (what worked, what didn't) Round 3: Polish (fine-tune for specific use case)

    Each round should:

    • Show what changed
    • Explain the reasoning
    • Ask for specific feedback

    Context Injection

    When prompts lack context, guide users to add it:

    Ask these questions:

    1. Who is the audience?
    2. What is the goal/purpose?
    3. What constraints exist (length, tone, format)?
    4. What background is assumed?
    5. What should the output look like?

    Then incorporate answers into the rewrite.


    When to Use This Skill

    Trigger when users say:

    • "Rewrite this prompt"
    • "Make this prompt better"
    • "Improve my prompt"
    • "Why isn't this prompt working?"
    • "Help me write a better prompt for..."
    • "Generate variations of this prompt"
    • "A/B test this prompt"

    Resources

    scripts/

    No scripts required for this skill - all analysis and rewriting is done by Claude directly.

    references/

    No references required - prompt engineering techniques are documented inline.

    assets/

    No assets required - this skill generates text output only.

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    Repository
    openclaw/skills