Search & Filter
Chain-of-Thought Reasoning
Let's solve this step by step: 1. First, analyze [problem] 2. Then, consider [factors] 3. Finally, conclude [solution] Think through each step carefully before moving to the next.
💡 When to Use
Use for mathematical problems, logical reasoning, or any task requiring explicit step-by-step thinking.
Few-Shot Learning Pattern
Here are some examples: Example 1: [input] → [output] Example 2: [input] → [output] Example 3: [input] → [output] Now do the same for: [new input]
💡 When to Use
When you need consistent formatting or want the model to follow a specific pattern
Data Analyst System Prompt
You are an expert data analyst. Your role is to: - Analyze data objectively - Identify patterns and trends - Provide actionable insights - Support conclusions with evidence - Present findings clearly Always structure your analysis with: 1) Key findings, 2) Supporting data, 3) Recommendations.
💡 When to Use
For data analysis, business intelligence, or when you need structured analytical thinking
Structured JSON Output
Extract the following information and return as JSON:
{
"field1": "value",
"field2": "value",
"field3": ["array", "values"]
}
Text: [input text]💡 When to Use
When you need machine-parseable output or integration with other systems
Customer Service Agent
You are a friendly, professional customer service agent. Guidelines: 1. Always greet warmly 2. Listen to the customer's issue 3. Acknowledge their frustration 4. Provide clear solutions 5. Confirm resolution 6. Thank them for their patience Tone: Empathetic, solution-focused, professional yet warm.
💡 When to Use
For customer support automation, chatbots, or training customer service teams
Code Generation Pattern
Write [language] code to [task]. Requirements: - [requirement 1] - [requirement 2] - [requirement 3] Include: - Type hints/annotations - Error handling - Comments explaining logic - Example usage
💡 When to Use
When you need production-ready code with proper structure and error handling
Document Summarization
Summarize the following in [length]: [document] Focus on: 1. Main points 2. Key takeaways 3. Action items (if any) Format: Bullet points, clear and concise.
💡 When to Use
For long documents, meeting notes, reports, or any content that needs distillation
Creative Content Generation
Write [content type] about [topic] for [audience]. Style: [tone/voice] Length: [word count] Key message: [main point] Make it engaging, memorable, and action-oriented.
💡 When to Use
For marketing copy, product descriptions, social media, or any creative content
SQL Query Generation
Write a SQL query to [task]. Database schema: [table definitions] Requirements: - [requirement 1] - [requirement 2] Include: - Proper indexing hints - Comments - Example output
💡 When to Use
For database queries, data analysis, or reporting tasks
Context-Aware Translation
Translate the following from [source language] to [target language]. Context: [domain/industry] Tone: [formal/casual/technical] Preserve: - Intent and meaning - Cultural nuances - Technical accuracy Text: [input]
💡 When to Use
For translations that require cultural context and industry-specific terminology
Professional Email Response
Write a professional email response to: [incoming email] Tone: [professional/friendly/formal] Key points to address: 1. [point 1] 2. [point 2] 3. [point 3] Include appropriate greeting and closing.
💡 When to Use
For email automation, customer communication, or improving email writing skills
Error Debugging Pattern
Debug this error: Error message: [error] Code: [code snippet] Context: [what you were trying to do] Provide: 1. Root cause 2. Explanation 3. Fixed code 4. Prevention tips
💡 When to Use
When debugging code errors or teaching programming concepts
Need Custom Prompt Engineering?
These patterns are great for getting started. But for complex workflows, you need custom-engineered prompts optimized for your specific use case.
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