🤖 Ultimate Claude Guide

Prompt Pattern:

"Think through this problem step by step, explain your reasoning at each stage, then provide the final solution."

Prompt:

"Analyze this customer feedback and return results as JSON with the following structure:

{
  "sentiment": "positive|neutral|negative",
  "key_themes": ["theme1", "theme2"],
  "action_items": ["action1", "action2"],
  "priority": "high|medium|low"
}

Ensure the output is valid JSON with no additional text."

Complex Prompt Structure:

<context>
You're reviewing code for a high-traffic e-commerce platform.
Security and performance are critical priorities.
</context>

<code>
[Your code here]
</code>

<requirements>
1. Identify security vulnerabilities
2. Flag performance bottlenecks
3. Suggest specific improvements with code examples
</requirements>

<output_format>
Provide findings as a markdown checklist with severity ratings
</output_format>

Example: API Integration Task

Please complete this API integration task in steps:

Step 1: Review the API documentation I've uploaded
Step 2: Identify the required authentication method
Step 3: Write the authentication helper function
Step 4: Create the main API client class
Step 5: Add error handling for common failure cases
Step 6: Write unit tests for each method

After each step, wait for my confirmation before proceeding.

Natural Language Request:

"Analyze this sales data CSV. Show me monthly trends, identify the top 5 products by revenue, and create a visualization comparing regional performance."

Claude's Response:

1. Writes Python script to load and process data
2. Executes code in sandbox environment
3. Generates multiple visualization files (PNGs)
4. Displays results in Artifact panel
5. Provides written analysis of findings
6. Shares the complete code for reproducibility

Scenario: You're building a React app and want Claude to help throughout development.

Setup:

1. Create a new Project: "React Dashboard App"
2. Upload your files:
   • package.json
   • README.md
   • Component file examples
   • API documentation
   • Design mockups or wireframes
3. Set system prompt: "You are a senior React developer specializing in modern hooks and best practices"
4. Choose "Concise" style for quick code reviews

Usage:

• Chat 1: "Review my component structure and suggest improvements"
• Chat 2: "Help me implement the user authentication flow"
• Chat 3: "Create unit tests for the dashboard components"

Claude maintains context across all chats automatically

Task: Analyze user behavior data from your app

Prompt:

"I've uploaded user_analytics.csv with columns: user_id, session_duration, pages_viewed, conversion_event

Please:
1. Load and validate the data
2. Calculate key metrics (avg session duration, conversion rate, etc.)
3. Identify user segments based on behavior patterns
4. Create visualizations showing:
   - Distribution of session durations
   - Conversion funnel breakdown
   - High-value user characteristics
5. Provide the code and explain your approach"

Result:

• Claude writes and executes Python analysis code
• Generates multiple visualization PNGs
• Displays charts in Artifacts
• Provides actionable insights
• Shares reproducible code for your pipeline

System Prompt:

"You are a staff engineer at a major tech company with 15 years of experience. You specialize in scalable system design, security best practices, and code maintainability."

User Prompt:

<context>
This API endpoint handles user payment processing for a fintech app.
Security and reliability are paramount.
</context>

<code>
[Your payment processing code]
</code>

<review_focus>
1. Security vulnerabilities
2. Error handling completeness
3. Performance considerations
4. Edge cases
</review_focus>

Provide specific, actionable feedback with code examples where appropriate.

Benefits:

• Staff-level perspective catches subtle issues
• Security-focused analysis for sensitive code
• Specific, implementable recommendations
• Code examples for suggested improvements