# Anthropic Prompt Engineering Guide — Official Best Practices > Official prompting guide from Anthropic for Claude. System prompts, chain-of-thought, few-shot, XML tags, tool use, and advanced techniques. ## Install Paste the prompt below into your AI tool: ## Quick Use Apply these techniques in any Claude conversation or API call. --- ## Intro The official Anthropic guide to getting the best results from Claude. Covers foundational techniques, advanced patterns, and real-world examples for prompt engineering. **Best for**: Developers building with Claude API, prompt engineers, AI application builders **Works with**: Claude (all models) --- ## Key Techniques ### 1. Be Specific and Direct Bad: "Help me with code" Good: "Write a Python function that takes a list of integers and returns the top 3 most frequent elements. Use type hints and include docstring." ### 2. Use XML Tags for Structure ``` Analyze the following code for security vulnerabilities. Focus on: SQL injection, XSS, authentication bypass. {user_code} ``` ### 3. Chain of Thought "Think step by step before answering. First identify the problem, then consider approaches, then implement the best one." ### 4. Few-Shot Examples Provide 2-3 input/output examples before the actual task. ### 5. Role Prompting "You are a senior security researcher with 15 years of experience in web application penetration testing." ### 6. Prefilled Responses Start Claude's response with the format you want. --- ### FAQ **Q: What is Anthropic Prompt Engineering Guide?** A: Official prompting guide from Anthropic for Claude. System prompts, chain-of-thought, few-shot, XML tags, tool use, and advanced techniques. **Q: How do I install Anthropic Prompt Engineering Guide?** A: Check the Quick Use section above for step-by-step installation instructions. Most assets can be set up in under 2 minutes. ## Source & Thanks > Created by [Anthropic](https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview). > [Anthropic Documentation](https://docs.anthropic.com) --- Source: https://tokrepo.com/en/workflows/8fdb8111-8d8a-4dfd-aea2-797eb1db6cea Author: Prompt Lab