SKILL.md

归纳

• name：prompt-engineering-expert
• description：Advanced expert in prompt engineering
• custom instructions design
• and prompt optimization for AI agents
• examples：1 个文件

示例

1. EXAMPLES.md

   Prompt Engineering Expert - Examples

   Example 1: Refining a Vague Prompt

   Before (Ineffective)

   Help me write a better prompt for analyzing customer feedback.
   

   After (Effective)

   You are an expert prompt engineer. I need to create a prompt that:
   - Analyzes customer feedback for sentiment (positive/negative/neutral)
   - Extracts key themes and pain points
   - Identifies actionable recommendations
   - Outputs structured JSON with: sentiment, themes (array), pain_points (array), recommendations (array)
   
   The prompt should handle feedback of 50-500 words and be consistent across different customer segments.
   
   Please review this prompt and suggest improvements:
   [ORIGINAL PROMPT HERE]
   

   Example 2: Custom Instructions for a Data Analysis Agent

   ---
   name: data-analysis-agent
   description: Specialized agent for financial data analysis and reporting
   ---
   
   # Data Analysis Agent Instructions
   
   ## Role
   You are an expert financial data analyst with deep knowledge of:
   - Financial statement analysis
   - Trend identification and forecasting
   - Risk assessment
   - Comparative analysis
   
   ## Core Behaviors
   
   ### Do's
   - Always verify data sources before analysis
   - Provide confidence levels for predictions
   - Highlight assumptions and limitations
   - Use clear visualizations and tables
   - Explain methodology before results
   
   ### Don'ts
   - Don't make predictions beyond 12 months without caveats
   - Don't ignore outliers without investigation
   - Don't present correlation as causation
   - Don't use jargon without explanation
   - Don't skip uncertainty quantification
   
   ## Output Format
   Always structure analysis as:
   1. Executive Summary (2-3 sentences)
   2. Key Findings (bullet points)
   3. Detailed Analysis (with supporting data)
   4. Limitations and Caveats
   5. Recommendations (if applicable)
   
   ## Scope
   - Financial data analysis only
   - Historical and current data (not speculation)
   - Quantitative analysis preferred
   - Escalate to human analyst for strategic decisions
   

   Example 3: Few-Shot Prompt for Classification

   You are a customer support ticket classifier. Classify each ticket into one of these categories:
   - billing: Payment, invoice, or subscription issues
   - technical: Software bugs, crashes, or technical problems
   - feature_request: Requests for new functionality
   - general: General inquiries or feedback
   
   Examples:
   
   Ticket: "I was charged twice for my subscription this month"
   Category: billing
   
   Ticket: "The app crashes when I try to upload files larger than 100MB"
   Category: technical
   
   Ticket: "Would love to see dark mode in the mobile app"
   Category: feature_request
   
   Now classify this ticket:
   Ticket: "How do I reset my password?"
   Category:
   

   Example 4: Chain-of-Thought Prompt for Complex Analysis

   Analyze this business scenario step by step:
   
   Step 1: Identify the core problem
   - What is the main issue?
   - What are the symptoms?
   - What's the root cause?
   
   Step 2: Analyze contributing factors
   - What external factors are involved?
   - What internal factors are involved?
   - How do they interact?
   
   Step 3: Evaluate potential solutions
   - What are 3-5 viable solutions?
   - What are the pros and cons of each?
   - What are the implementation challenges?
   
   Step 4: Recommend and justify
   - Which solution is best?
   - Why is it superior to alternatives?
   - What are the risks and mitigation strategies?
   
   Scenario: [YOUR SCENARIO HERE]
   

   Example 5: XML-Structured Prompt for Consistency

   <prompt>
     <metadata>
       <version>1.0</version>
       <purpose>Generate marketing copy for SaaS products</purpose>
       <target_audience>B2B decision makers</target_audience>
     </metadata>
     
     <instructions>
       <objective>
         Create compelling marketing copy that emphasizes ROI and efficiency gains
       </objective>
       
       <constraints>
         <max_length>150 words</max_length>
         <tone>Professional but approachable</tone>
         <avoid>Jargon, hyperbole, false claims</avoid>
       </constraints>
       
       <format>
         <headline>Compelling, benefit-focused (max 10 words)</headline>
         <body>2-3 paragraphs highlighting key benefits</body>
         <cta>Clear call-to-action</cta>
       </format>
       
       <examples>
         <example>
           <product>Project management tool</product>
           <copy>
             Headline: "Cut Project Delays by 40%"
             Body: "Teams waste 8 hours weekly on status updates. Our tool automates coordination..."
           </example>
         </example>
       </examples>
     </instructions>
   </prompt>
   

   Example 6: Prompt for Iterative Refinement

   I'm working on a prompt for [TASK]. Here's my current version:
   
   [CURRENT PROMPT]
   
   I've noticed these issues:
   - [ISSUE 1]
   - [ISSUE 2]
   - [ISSUE 3]
   
   As a prompt engineering expert, please:
   1. Identify any additional issues I missed
   2. Suggest specific improvements with reasoning
   3. Provide a refined version of the prompt
   4. Explain what changed and why
   5. Suggest test cases to validate the improvements
   

   Example 7: Anti-Pattern Recognition

   ❌ Ineffective Prompt

   "Analyze this data and tell me what you think about it. Make it good."
   

   Issues:

   • Vague objective ("analyze" and "what you think")
   • No format specification
   • No success criteria
   • Ambiguous quality standard ("make it good")

   ✅ Improved Prompt

   "Analyze this sales data to identify:
   1. Top 3 performing products (by revenue)
   2. Seasonal trends (month-over-month changes)
   3. Customer segments with highest lifetime value
   
   Format as a structured report with:
   - Executive summary (2-3 sentences)
   - Key metrics table
   - Trend analysis with supporting data
   - Actionable recommendations
   
   Focus on insights that could improve Q4 revenue."
   

   Example 8: Testing Framework for Prompts

   # Prompt Evaluation Framework
   
   ## Test Case 1: Happy Path
   Input: [Standard, well-formed input]
   Expected Output: [Specific, detailed output]
   Success Criteria: [Measurable criteria]
   
   ## Test Case 2: Edge Case - Ambiguous Input
   Input: [Ambiguous or unclear input]
   Expected Output: [Request for clarification]
   Success Criteria: [Asks clarifying questions]
   
   ## Test Case 3: Edge Case - Complex Scenario
   Input: [Complex, multi-faceted input]
   Expected Output: [Structured, comprehensive analysis]
   Success Criteria: [Addresses all aspects]
   
   ## Test Case 4: Error Handling
   Input: [Invalid or malformed input]
   Expected Output: [Clear error message with guidance]
   Success Criteria: [Helpful, actionable error message]
   
   ## Regression Test
   Input: [Previous failing case]
   Expected Output: [Now handles correctly]
   Success Criteria: [Issue is resolved]
   

   Example 9: Skill Metadata Template

   ---
   name: analyzing-financial-statements
   description: Expert guidance on analyzing financial statements, identifying trends, and extracting actionable insights for business decision-making
   ---
   
   # Financial Statement Analysis Skill
   
   ## Overview
   This skill provides expert guidance on analyzing financial statements...
   
   ## Key Capabilities
   - Balance sheet analysis
   - Income statement interpretation
   - Cash flow analysis
   - Ratio analysis and benchmarking
   - Trend identification
   - Risk assessment
   
   ## Use Cases
   - Evaluating company financial health
   - Comparing competitors
   - Identifying investment opportunities
   - Assessing business performance
   - Forecasting financial trends
   
   ## Limitations
   - Historical data only (not predictive)
   - Requires accurate financial data
   - Industry context important
   - Professional judgment recommended
   

   Example 10: Prompt Optimization Checklist

   # Prompt Optimization Checklist
   
   ## Clarity
   - [ ] Objective is crystal clear
   - [ ] No ambiguous terms
   - [ ] Examples provided
   - [ ] Format specified
   
   ## Conciseness
   - [ ] No unnecessary words
   - [ ] Focused on essentials
   - [ ] Efficient structure
   - [ ] Respects context window
   
   ## Completeness
   - [ ] All necessary context provided
   - [ ] Edge cases addressed
   - [ ] Success criteria defined
   - [ ] Constraints specified
   
   ## Testability
   - [ ] Can measure success
   - [ ] Has clear pass/fail criteria
   - [ ] Repeatable results
   - [ ] Handles edge cases
   
   ## Robustness
   - [ ] Handles variations in input
   - [ ] Graceful error handling
   - [ ] Consistent output format
   - [ ] Resistant to jailbreaks
   

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