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Best Claude Prompts: 40+ Templates for Anthropic's AI Assistant

Curated Claude prompt templates optimized for Anthropic''s AI. Covers writing, analysis, coding, and research with Claude-specific techniques like XML tags and structured instructions.

Keyur Patel
Keyur Patel
February 19, 2026
15 min read
Prompt Engineering

Best Claude Prompts: 40+ Templates for Anthropic's AI

Claude by Anthropic excels at careful analysis, nuanced writing, and following complex multi-step instructions. It handles long context windows exceptionally well and responds strongly to structured prompts, particularly those using XML-style tags for organization.

This collection provides Claude-optimized prompt templates that leverage these specific strengths. Every prompt has been tested on Claude Sonnet and Opus models.

What Makes Claude Different to Prompt

Before diving into templates, understanding Claude's distinctive traits helps you write better prompts:

Structured instruction following. Claude responds exceptionally well to prompts organized with XML-like tags, numbered sections, and clear hierarchies. This is its superpower.

Long context handling. Claude can process very long documents and maintain accuracy across them. Use this for document analysis, research synthesis, and multi-part tasks.

Nuanced analysis. Claude tends toward thoughtful, balanced responses rather than confident oversimplifications. Lean into this for tasks requiring careful judgment.

Instruction adherence. Claude follows specific formatting and constraint instructions more reliably than most models. Be precise about what you want.

For a broader comparison, see our ChatGPT vs Claude vs Gemini guide.

Writing & Content Prompts

Structured Document Writer

Nuanced Content Editor

Long-Form Content Planner

Analysis & Research Prompts

Document Analysis (Long Context)

Research Synthesis

Comparative Analysis

Coding & Technical Prompts

Code Generator with Specifications

Technical Documentation Writer

Business & Strategy Prompts

Strategic Analysis with Framework

Meeting Preparation Brief

Education & Explanation Prompts

Multi-Level Explainer

Socratic Tutor

Claude-Specific Techniques

XML Tag Organization

Claude processes XML-tagged prompts with higher accuracy than unstructured text. Use tags to separate:

  • Instructions from content: , ,
  • Different input types: ,
  • Output specifications: ,
This structure helps Claude distinguish between what to process and how to process it.

Constraint Specification

Claude follows constraints more reliably when they're explicit and specific:

Role + Perspective Pairing

Claude excels at maintaining a consistent perspective throughout long responses:

For more advanced role-based techniques, explore multi-agent prompting where you assign Claude multiple roles in sequence.

Chain of Thought with Verification

Ask Claude to show its reasoning and then verify its own work:

Framework Integration

These Claude prompts work even better when combined with prompt engineering frameworks:

For complex multi-step tasks, combine these templates with prompt chaining to build powerful workflows.

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Keyur Patel

Written by Keyur Patel

AI Engineer & Founder

Keyur Patel is the founder of AiPromptsX and an AI engineer with extensive experience in prompt engineering, large language models, and AI application development. After years of working with AI systems like ChatGPT, Claude, and Gemini, he created AiPromptsX to share effective prompt patterns and frameworks with the broader community. His mission is to democratize AI prompt engineering and help developers, content creators, and business professionals harness the full potential of AI tools.

Prompt EngineeringAI DevelopmentLarge Language ModelsSoftware Engineering

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