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Blog/Anthropic Prompt Library — 50+ Free Claude Examples With XML Tags (2026)
Prompt EngineeringAnthropicClaude AI
January 2026
Updated May 2026
12 min read

Anthropic Prompt Library Examples: 50+ Claude Templates

A curated collection of prompt templates following Anthropic's best practices for Claude AI. Includes XML formatting, thinking tags, and real-world examples.

Save All Prompts

The Anthropic prompt libraryis a collection of pre-built templates designed for Claude AI. Anthropic's official library contains over 60 curated prompts across 8 categories, each demonstrating structured XML formatting that the company's research shows improves output consistency by 20-40% (Anthropic Prompt Engineering Guide, 2025). The 50+ templates below extend that foundation with production-tested examples you can copy and use immediately.

Quick Summary

Anthropic's Claude AI works best with structured prompts that leverage XML tags and clear instructions.

  • XML formatting helps Claude parse complex multi-part prompts
  • Thinking tags enable step-by-step reasoning before responses
  • 50+ examples below covering coding, analysis, writing, and creative work
View Examples Complete Claude Guide

What is the Anthropic Prompt Library?

Anthropic, the company behind Claude AI, provides guidance on effective prompting through their documentation. This page contains examples inspired by Anthropic's best practices, formatted for immediate use with Claude.

Key principles from Anthropic's approach include:

  • Be specific - Tell Claude exactly what you want, including format, length, and tone
  • Use XML tags - Structure complex prompts with tags like <task>, <context>, <requirements>
  • Provide examples - Show Claude what good output looks like
  • Enable thinking - Let Claude reason through problems step-by-step
  • Assign roles - Give Claude a persona or expertise level

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Anthropic-Style Prompt Examples

Copy-paste ready prompts following Anthropic's recommended formatting. Each example uses XML structure for optimal Claude performance.

Coding & Development

Anthropic-style prompts for code generation and review

Code Review with Anthropic XML Format
Code Review
Structured code review following Anthropic's XML guidelines
<task>Review this code and provide detailed feedback</task>

<code>
{{PASTE_YOUR_CODE_HERE}}
</code>

<review_criteria>
  <security>Check for vulnerabilities, injection risks, and unsafe patterns</security>
  <performance>Identify bottlenecks, inefficient algorithms, and memory issues</performance>
  <maintainability>Assess readability, naming conventions, and documentation</maintainability>
  <best_practices>Verify adherence to language-specific conventions</best_practices>
</review_criteria>

<output_format>
  For each issue found:
  1. Location (file/line if applicable)
  2. Severity (Critical/High/Medium/Low)
  3. Description of the issue
  4. Suggested fix with code example
</output_format>
Save to Library
Function Generator with Thinking
Code Generation
Use Claude's thinking capability for complex function design
<task>Create a well-designed function</task>

<requirements>
  <function_name>{{FUNCTION_NAME}}</function_name>
  <language>{{LANGUAGE: TypeScript, Python, etc.}}</language>
  <purpose>{{DESCRIBE_WHAT_IT_SHOULD_DO}}</purpose>
  <inputs>{{EXPECTED_INPUTS}}</inputs>
  <outputs>{{EXPECTED_OUTPUTS}}</outputs>
</requirements>

<thinking>
Before writing the code, think through:
- Edge cases that need handling
- Error conditions and how to handle them
- Performance considerations
- Type safety (if applicable)
</thinking>

<output>
Provide:
1. The complete function with type annotations
2. JSDoc/docstring documentation
3. Unit test examples
4. Usage example
</output>
Save to Library

Research & Analysis

Deep analysis prompts with structured output

Comprehensive Research Analysis
Research
Multi-source research synthesis with citations
<task>Conduct comprehensive research analysis</task>

<topic>{{YOUR_RESEARCH_TOPIC}}</topic>

<research_parameters>
  <scope>{{Broad overview / Deep dive / Comparative analysis}}</scope>
  <perspective>{{Academic / Business / Technical / Consumer}}</perspective>
  <time_frame>{{Last 6 months / Last year / All time}}</time_frame>
</research_parameters>

<analysis_framework>
  <current_state>What is the current landscape?</current_state>
  <key_players>Who are the major stakeholders?</key_players>
  <trends>What patterns are emerging?</trends>
  <challenges>What obstacles exist?</challenges>
  <opportunities>What gaps can be exploited?</opportunities>
  <predictions>Where is this heading?</predictions>
</analysis_framework>

<output_requirements>
  <format>Structured report with sections</format>
  <length>2000-3000 words</length>
  <citations>Include sources where possible</citations>
  <visuals>Suggest charts/graphs where helpful</visuals>
</output_requirements>
Save to Library
Document Summarization
Analysis
Extract key insights from long documents
<task>Summarize and extract key insights</task>

<document>
{{PASTE_DOCUMENT_OR_DESCRIBE_CONTENT}}
</document>

<extraction_goals>
  <main_thesis>What is the central argument or purpose?</main_thesis>
  <key_points>List 5-7 most important points</key_points>
  <evidence>What data or examples support the claims?</evidence>
  <implications>What are the practical takeaways?</implications>
  <questions>What questions remain unanswered?</questions>
</extraction_goals>

<output_format>
  <executive_summary>2-3 sentences</executive_summary>
  <detailed_breakdown>Bullet points by section</detailed_breakdown>
  <action_items>Concrete next steps if applicable</action_items>
</output_format>
Save to Library

Writing & Content

Content creation with Anthropic's structure

Blog Post with SEO Focus
Content Writing
SEO-optimized long-form content generation
<task>Write a comprehensive blog post</task>

<topic>{{YOUR_TOPIC}}</topic>

<seo_requirements>
  <primary_keyword>{{MAIN_KEYWORD}}</primary_keyword>
  <secondary_keywords>{{KEYWORD_1, KEYWORD_2, KEYWORD_3}}</secondary_keywords>
  <search_intent>{{Informational / Transactional / Navigational}}</search_intent>
</seo_requirements>

<content_specifications>
  <length>2000-2500 words</length>
  <tone>{{Professional / Conversational / Technical}}</tone>
  <audience>{{Describe target reader}}</audience>
  <format>
    - H1 title (include primary keyword)
    - Meta description (150-160 chars)
    - Introduction with hook
    - 4-6 H2 sections with H3 subsections
    - Bulleted lists where appropriate
    - Conclusion with CTA
  </format>
</content_specifications>

<examples>
Provide 1-2 examples of the style you want
</examples>
Save to Library
Email Sequence Generator
Email Marketing
Multi-email nurture sequence with personalization
<task>Create an email nurture sequence</task>

<campaign_context>
  <product>{{YOUR_PRODUCT_OR_SERVICE}}</product>
  <goal>{{Lead nurturing / Onboarding / Re-engagement}}</goal>
  <audience>{{Describe your audience}}</audience>
  <sequence_length>{{NUMBER}} emails over {{TIMEFRAME}}</sequence_length>
</campaign_context>

<email_requirements>
  For each email provide:
  <subject_line>Compelling, under 50 chars</subject_line>
  <preview_text>Supporting hook, under 90 chars</preview_text>
  <body>
    - Personal opening
    - Value proposition
    - Single clear CTA
    - P.S. line if appropriate
  </body>
  <send_timing>Day and suggested time</send_timing>
</email_requirements>

<brand_voice>
  <tone>{{Friendly / Professional / Urgent}}</tone>
  <personality>{{Describe brand personality}}</personality>
</brand_voice>
Save to Library

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Check out our complete Claude AI prompts guide with advanced techniques, XML formatting deep-dive, and prompts for every use case.

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About the Author

This guide was created by the AI Prompt Library team. We maintain a collection of 10,000+ prompts for Claude, ChatGPT, and other AI models.

Claude Prompt LibraryComplete Claude GuideBrowse Gallery

Sources & Methodology

We curated these templates from Anthropic's official prompt library and our own testing. Each prompt was verified on Claude Sonnet and Claude Haiku to confirm it produces reliable, high-quality output.

Tested on: Claude Sonnet, Claude HaikuSample: 50+ promptsLast verified: May 2026
  • Anthropic Prompt Library (accessed May 2026)
  • Anthropic Claude Documentation (accessed May 2026)
  • Claude Model Comparison (accessed May 2026)

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