SuperClaude/Guides/examples-cookbook.md

SuperClaude Examples Cookbook 🍳

A practical guide to real-world SuperClaude usage with hands-on examples

How to Use This Cookbook

This cookbook is your practical reference for using SuperClaude effectively. Unlike comprehensive guides, this focuses entirely on working examples and real scenarios you can try immediately.

Structure:

• Quick Examples - One-liner commands for common tasks
• Development Scenarios - Complete workflows for typical development situations
• Troubleshooting Scenarios - Real problem-solving examples
• Advanced Patterns - Complex multi-step workflows
• Command Combinations - Effective flag and agent combinations
• Best Practices in Action - Examples showing optimal SuperClaude usage

How to read this:

• 📋 Copy-paste commands - All examples are working commands you can use
• 🎯 Expected outcomes - What you should see after running each command
• 💡 Why it works - Brief explanation of the approach
• ⚠️ Gotchas - Common issues and how to avoid them

---

Quick Examples - Just Try These! 🚀

Essential One-Liners

# Initialize and understand your project
/sc:load                              # Load project context
/sc:analyze .                         # Analyze entire project
/sc:build                            # Smart build with auto-optimization

# Development workflows
/sc:implement user-auth               # Create authentication system
/sc:improve messy-file.js             # Clean up code automatically
/sc:troubleshoot "login not working"  # Debug specific issues

# Session management
/sc:save --checkpoint                 # Save progress with analysis
/sc:reflect --type completion         # Validate task completion

Quick Analysis Commands

# Security focus
/sc:analyze src/auth --focus security --depth deep

# Performance analysis
/sc:analyze --focus performance --format report

# Quick quality check
/sc:analyze src/components --focus quality --depth quick

# Architecture review
/sc:analyze --focus architecture .

Rapid Development Commands

# UI components (triggers Magic MCP + Frontend agent)
/sc:implement dashboard component --type component --framework react

# API development (triggers Backend agent + Context7)
/sc:implement user management API --type api --safe

# Full features (triggers multiple agents)
/sc:implement payment processing --type feature --with-tests

---

Development Scenarios 📋

Scenario 1: New Team Member Onboarding

Situation: New developer joining project, needs to understand codebase and setup development environment.

Step-by-step workflow:

# 1. Initialize session and load project context
/sc:load --deep --summary
# 🎯 Expected: Comprehensive project analysis with structure, tech stack, and key components

# 2. Understand architecture and dependencies
/sc:analyze --focus architecture
# 🎯 Expected: System design overview, dependency mapping, and component relationships

# 3. Check code quality and identify areas needing attention
/sc:analyze --focus quality --format report
# 🎯 Expected: HTML report with quality metrics, technical debt, and improvement areas

# 4. Verify test coverage and quality
/sc:test --coverage
# 🎯 Expected: Test execution results with coverage percentages and missing test areas

# 5. Generate onboarding documentation
/sc:document --type guide "getting started with this project"
# 🎯 Expected: Comprehensive getting started guide with setup instructions

# 6. Save insights for future reference
/sc:save --checkpoint "onboarding analysis complete"
# 🎯 Expected: Session saved with all analysis insights and documentation

💡 Why this works:

• /sc:load --deep activates comprehensive project analysis
• Multiple analysis focuses provide complete understanding
• Documentation generation creates permanent reference materials
• Session persistence preserves insights for future use

⚠️ Gotchas:

• Large projects may take time for deep analysis
• Test command requires existing test configuration
• Documentation quality depends on project structure clarity

---

Scenario 2: Security Vulnerability Investigation

Situation: Security scan flagged potential vulnerabilities, need systematic investigation and remediation.

Step-by-step workflow:

# 1. Initialize focused security analysis
/sc:analyze --focus security --depth deep
# 🎯 Expected: Comprehensive security vulnerability assessment with severity ratings

# 2. Investigate specific suspicious components
/sc:troubleshoot "potential SQL injection in user queries" --type security --trace
# 🎯 Expected: Systematic analysis of SQL injection vectors and vulnerable code patterns

# 3. Analyze authentication and authorization systems
/sc:analyze src/auth --focus security --format report
# 🎯 Expected: Detailed auth security analysis with specific vulnerability details

# 4. Apply security improvements
/sc:improve auth-service --type security --safe
# 🎯 Expected: Automatic application of security best practices and vulnerability fixes

# 5. Validate security improvements with testing
/sc:test --type security
# 🎯 Expected: Security-focused test execution with validation of fixes

# 6. Document security findings and remediation
/sc:document --type report "security vulnerability assessment"
# 🎯 Expected: Comprehensive security report with findings and remediation steps

# 7. Save security analysis for compliance
/sc:save --type security-audit "vulnerability remediation complete"
# 🎯 Expected: Complete security audit trail saved for future reference

💡 Why this works:

• Security-focused analysis activates Security Engineer agent automatically
• Systematic troubleshooting provides comprehensive investigation methodology
• Safe improvements apply fixes without breaking existing functionality
• Documentation creates audit trail for compliance requirements

⚠️ Gotchas:

• Security analysis may flag false positives requiring manual review
• Improvements should be tested thoroughly before production deployment
• Complex security issues may require expert security engineer consultation

---

Scenario 3: Performance Optimization Sprint

Situation: Application performance has degraded, need systematic optimization across frontend and backend.

Step-by-step workflow:

# 1. Comprehensive performance baseline analysis
/sc:analyze --focus performance --depth deep
# 🎯 Expected: Performance bottleneck identification with specific metrics and recommendations

# 2. Profile API performance issues
/sc:troubleshoot "API response times degraded" --type performance
# 🎯 Expected: Systematic analysis of API bottlenecks, database queries, and caching issues

# 3. Optimize backend performance
/sc:improve api-endpoints --type performance --interactive
# 🎯 Expected: Performance engineer provides optimization recommendations with guided implementation

# 4. Optimize frontend bundle and rendering
/sc:improve src/components --type performance --safe
# 🎯 Expected: Frontend optimization including code splitting, lazy loading, and rendering improvements

# 5. Build optimized production artifacts
/sc:build --type prod --optimize --verbose
# 🎯 Expected: Optimized production build with minification, tree-shaking, and performance analysis

# 6. Validate performance improvements with testing
/sc:test --type performance --coverage
# 🎯 Expected: Performance test execution with before/after metrics comparison

# 7. Monitor and document optimization results
/sc:reflect --type completion "performance optimization"
# 🎯 Expected: Validation of optimization effectiveness with recommendations for monitoring

# 8. Save optimization insights and metrics
/sc:save --checkpoint "performance optimization sprint complete"
# 🎯 Expected: Complete optimization documentation with metrics and ongoing monitoring recommendations

💡 Why this works:

• Performance focus automatically activates Performance Engineer agent
• Interactive improvements provide guided optimization decisions
• Production build validation ensures optimizations work in deployment
• Comprehensive testing validates improvement effectiveness

⚠️ Gotchas:

• Performance improvements may introduce subtle bugs requiring thorough testing
• Production builds should be tested in staging environment first
• Performance metrics should be monitored continuously after deployment

---

Scenario 4: Legacy Code Modernization

Situation: Large legacy codebase needs modernization to current standards and frameworks.

Step-by-step workflow:

# 1. Assess legacy codebase comprehensively
/sc:load --deep --summary
# 🎯 Expected: Complete legacy system analysis with technology stack assessment

# 2. Identify modernization opportunities and technical debt
/sc:analyze --focus architecture --depth deep
# 🎯 Expected: Technical debt assessment with modernization recommendations and migration strategy

# 3. Plan systematic modernization approach
/sc:select-tool "migrate 100+ files to TypeScript" --analyze
# 🎯 Expected: Tool selection recommendations for large-scale code transformation

# 4. Begin with code quality improvements
/sc:improve legacy-modules --type maintainability --preview
# 🎯 Expected: Preview of maintainability improvements without applying changes

# 5. Apply safe modernization improvements
/sc:improve legacy-modules --type maintainability --safe
# 🎯 Expected: Application of safe refactoring and modernization patterns

# 6. Clean up technical debt systematically
/sc:cleanup src/ --dead-code --safe
# 🎯 Expected: Removal of dead code, unused imports, and outdated patterns

# 7. Validate modernization with comprehensive testing
/sc:test --type all --coverage
# 🎯 Expected: Complete test suite execution with coverage analysis

# 8. Document modernization progress and next steps
/sc:document --type report "legacy modernization progress"
# 🎯 Expected: Comprehensive modernization report with completed work and future recommendations

# 9. Save modernization insights for iterative improvement
/sc:save --checkpoint "legacy modernization phase 1"
# 🎯 Expected: Complete modernization context saved for continued iterative improvement

💡 Why this works:

• Deep analysis provides comprehensive understanding of legacy system complexity
• Tool selection optimization ensures efficient modernization approach
• Preview mode allows safe exploration of changes before application
• Iterative approach with checkpoints enables manageable modernization process

⚠️ Gotchas:

• Large legacy systems require multiple iteration cycles
• Preview changes carefully before applying to critical systems
• Comprehensive testing essential to prevent breaking legacy functionality
• Modernization should be planned in phases to manage risk

---

Scenario 5: Multi-Team API Design

Situation: Multiple teams need to collaborate on API design requiring coordination across frontend, backend, and security concerns.

Step-by-step workflow:

# 1. Brainstorm API requirements with stakeholder exploration
/sc:brainstorm "multi-service API architecture" --strategy enterprise --depth deep
# 🎯 Expected: Comprehensive requirements discovery with cross-team considerations

# 2. Generate structured API implementation workflow
/sc:workflow api-requirements.md --strategy systematic --parallel
# 🎯 Expected: Detailed implementation plan with multi-team coordination and dependencies

# 3. Design API architecture with security considerations
/sc:design --type api user-management --format spec
# 🎯 Expected: Formal API specification with security, performance, and integration considerations

# 4. Implement API with multi-domain expertise
/sc:implement user management API --type api --with-tests --safe
# 🎯 Expected: Complete API implementation with automated testing and security validation

# 5. Validate API design with cross-team testing
/sc:test --type integration --coverage
# 🎯 Expected: Integration testing with frontend/backend coordination validation

# 6. Generate comprehensive API documentation
/sc:document --type api src/controllers/ --style detailed
# 🎯 Expected: Complete API documentation with usage examples and integration guidance

# 7. Reflect on multi-team coordination effectiveness
/sc:reflect --type completion "API design collaboration"
# 🎯 Expected: Analysis of coordination effectiveness with recommendations for future collaboration

# 8. Save API design insights for team knowledge sharing
/sc:save --type collaboration "multi-team API design complete"
# 🎯 Expected: Complete API design context saved for future multi-team projects

💡 Why this works:

• Brainstorming mode facilitates cross-team requirements discovery
• Workflow generation provides structured coordination approach
• Multi-persona activation ensures comprehensive domain coverage
• Documentation supports ongoing team collaboration

⚠️ Gotchas:

• Multi-team coordination requires clear communication channels
• API design decisions should be validated with all stakeholder teams
• Integration testing requires coordination of development environments
• Documentation should be maintained as API evolves

---

Troubleshooting Scenarios 🔧

Problem: Build Failures After Dependency Updates

Symptoms: Build process failing with cryptic error messages after updating dependencies.

Troubleshooting workflow:

# 1. Systematic build failure investigation
/sc:troubleshoot "TypeScript compilation errors" --type build --trace
# 🎯 Expected: Systematic analysis of build logs and TypeScript configuration issues

# 2. Analyze dependency compatibility
/sc:analyze package.json --focus dependencies
# 🎯 Expected: Dependency conflict analysis with compatibility recommendations

# 3. Attempt automatic build fixes
/sc:troubleshoot "build failing" --type build --fix
# 🎯 Expected: Application of common build fixes with validation

# 4. Clean build with optimization
/sc:build --clean --verbose
# 🎯 Expected: Clean build execution with detailed error analysis

💡 Why this works: Systematic troubleshooting provides structured diagnosis, automatic fixes handle common issues, verbose output reveals detailed error information.

---

Problem: Authentication System Security Vulnerabilities

Symptoms: Security scan revealed potential authentication vulnerabilities.

Troubleshooting workflow:

# 1. Deep security analysis of authentication system
/sc:analyze src/auth --focus security --depth deep
# 🎯 Expected: Comprehensive security vulnerability assessment with specific findings

# 2. Investigate specific authentication vulnerabilities
/sc:troubleshoot "JWT token vulnerability" --type security --trace
# 🎯 Expected: Systematic analysis of JWT implementation with security recommendations

# 3. Apply security hardening improvements
/sc:improve auth-service --type security --safe
# 🎯 Expected: Application of security best practices and vulnerability fixes

# 4. Validate security fixes with testing
/sc:test --type security auth-tests/
# 🎯 Expected: Security-focused testing with validation of vulnerability fixes

💡 Why this works: Security-focused analysis activates security expertise, systematic troubleshooting provides comprehensive investigation, safe improvements ensure no functionality breaks.

---

Problem: Performance Degradation in Production

Symptoms: Application response times increased significantly in production environment.

Troubleshooting workflow:

# 1. Performance bottleneck identification
/sc:troubleshoot "API response times degraded" --type performance
# 🎯 Expected: Systematic performance analysis with bottleneck identification

# 2. Analyze performance across application layers
/sc:analyze --focus performance --format report
# 🎯 Expected: Comprehensive performance report with optimization recommendations

# 3. Optimize critical performance paths
/sc:improve api-endpoints --type performance --interactive
# 🎯 Expected: Performance optimization with guided decision-making

# 4. Validate performance improvements
/sc:test --type performance --coverage
# 🎯 Expected: Performance testing with before/after metrics comparison

💡 Why this works: Performance-focused troubleshooting provides systematic bottleneck analysis, interactive improvements guide complex optimization decisions, testing validates improvement effectiveness.

---

Advanced Patterns 🎓

Pattern: Cross-Session Project Development

Use case: Working on complex features across multiple development sessions with context preservation.

# Session 1: Requirements and Planning
/sc:load                                    # Initialize project context
/sc:brainstorm "user dashboard feature" --prd # Explore requirements
/sc:workflow dashboard-requirements.md       # Generate implementation plan
/sc:save --checkpoint "dashboard planning"   # Save planning context

# Session 2: Implementation Start
/sc:load                                    # Resume project context
/sc:implement dashboard component --type component --framework react
/sc:save --checkpoint "dashboard component created"

# Session 3: Testing and Refinement  
/sc:load                                    # Resume project context
/sc:test dashboard-component --coverage     # Validate implementation
/sc:improve dashboard-component --type quality --safe
/sc:save --checkpoint "dashboard implementation complete"

# Session 4: Integration and Documentation
/sc:load                                    # Resume project context
/sc:reflect --type completion "dashboard feature"
/sc:document --type component dashboard-component
/sc:save "dashboard feature complete"

💡 Why this works: Session persistence maintains context across development cycles, checkpoints provide recovery points, progressive enhancement builds on previous work.

---

Pattern: Multi-Tool Complex Analysis

Use case: Complex system analysis requiring coordination of multiple specialized tools and expertise.

# Step 1: Intelligent tool selection for complex task
/sc:select-tool "comprehensive security and performance audit" --analyze
# 🎯 Expected: Recommended tool combination and coordination strategy

# Step 2: Coordinated multi-domain analysis
/sc:analyze --focus security --depth deep &
/sc:analyze --focus performance --depth deep &
/sc:analyze --focus architecture --depth deep
# 🎯 Expected: Parallel analysis across multiple domains

# Step 3: Systematic troubleshooting with expert coordination
/sc:troubleshoot "complex system behavior" --type system --sequential
# 🎯 Expected: Structured debugging with multiple expert perspectives

# Step 4: Comprehensive improvement with validation
/sc:improve . --type quality --interactive --validate
# 🎯 Expected: Guided improvements with comprehensive validation gates

💡 Why this works: Tool selection optimization ensures efficient approach, parallel analysis maximizes efficiency, expert coordination provides comprehensive coverage.

---

Pattern: Large-Scale Code Transformation

Use case: Systematic transformation of large codebase with pattern-based changes.

# Step 1: Analyze scope and plan transformation approach
/sc:select-tool "migrate 100+ files to TypeScript" --efficiency
# 🎯 Expected: Optimal tool selection for large-scale transformation

# Step 2: Systematic transformation with progress tracking
/sc:spawn migrate-typescript --parallel --monitor
# 🎯 Expected: Parallel transformation with progress monitoring

# Step 3: Validate transformation quality and completeness
/sc:test --type all --coverage
/sc:analyze --focus quality transformed-files/
# 🎯 Expected: Comprehensive validation of transformation quality

# Step 4: Cleanup and optimization post-transformation
/sc:cleanup transformed-files/ --safe
/sc:improve transformed-files/ --type maintainability --safe
# 🎯 Expected: Final cleanup and optimization of transformed code

💡 Why this works: Scope analysis ensures appropriate tool selection, parallel processing maximizes efficiency, comprehensive validation ensures quality maintenance.

---

Command Combinations That Work Well 🔗

Security-Focused Development Workflow

# Analysis → Improvement → Validation → Documentation
/sc:analyze --focus security --depth deep
/sc:improve src/ --type security --safe  
/sc:test --type security --coverage
/sc:document --type security-guide

Performance Optimization Workflow

# Profiling → Optimization → Building → Validation
/sc:analyze --focus performance --format report
/sc:improve api/ --type performance --interactive
/sc:build --type prod --optimize
/sc:test --type performance

Quality Improvement Workflow

# Assessment → Preview → Application → Cleanup → Testing
/sc:analyze --focus quality
/sc:improve src/ --type quality --preview
/sc:improve src/ --type quality --safe
/sc:cleanup src/ --safe
/sc:test --coverage

New Feature Development Workflow

# Planning → Implementation → Testing → Documentation → Session Save
/sc:brainstorm "feature idea" --prd
/sc:implement feature-name --type feature --with-tests
/sc:test feature-tests/ --coverage
/sc:document --type feature feature-name
/sc:save --checkpoint "feature complete"

Legacy Code Modernization Workflow

# Assessment → Planning → Safe Improvement → Cleanup → Validation
/sc:load --deep --summary
/sc:select-tool "legacy modernization" --analyze
/sc:improve legacy/ --type maintainability --preview
/sc:improve legacy/ --type maintainability --safe
/sc:cleanup legacy/ --safe
/sc:test --type all

---

Best Practices in Action 🌟

Effective Flag Usage Patterns

Safe Development Pattern:

# Always preview before applying changes
/sc:improve src/ --preview                    # See what would change
/sc:improve src/ --safe                       # Apply only safe changes
/sc:test --coverage                           # Validate changes work

Progressive Analysis Pattern:

# Start broad, then focus deep
/sc:analyze .                                 # Quick overview
/sc:analyze src/auth --focus security --depth deep  # Deep dive specific areas
/sc:analyze --focus performance --format report     # Detailed reporting

Session Management Pattern:

# Initialize → Work → Checkpoint → Validate → Save
/sc:load                                      # Start session
# ... work commands ...
/sc:save --checkpoint "work in progress"      # Regular checkpoints
/sc:reflect --type completion "task name"     # Validate completion
/sc:save "task complete"                      # Final save

Expert Activation Optimization

Let auto-activation work:

# These automatically activate appropriate experts
/sc:analyze src/auth --focus security         # → Security Engineer
/sc:implement user dashboard --framework react # → Frontend Architect + Magic MCP
/sc:troubleshoot "API performance issues"     # → Performance Engineer + Backend Architect
/sc:improve legacy-code --type maintainability # → Architect + Quality Engineer

Manual coordination when needed:

# Complex scenarios benefit from explicit tool selection
/sc:select-tool "enterprise authentication system" --analyze
/sc:brainstorm "multi-service architecture" --strategy enterprise
/sc:workflow complex-feature.md --strategy systematic --parallel

Error Recovery Patterns

When commands don't work as expected:

# 1. Start with broader scope
/sc:analyze src/component.js                  # Instead of very specific file
/sc:troubleshoot "build failing"              # Instead of specific error

# 2. Use safe flags
/sc:improve --safe --preview                  # Check before applying
/sc:cleanup --safe                            # Conservative cleanup only

# 3. Validate systematically
/sc:reflect --type task "what I'm trying to do"  # Check approach
/sc:test --coverage                            # Ensure nothing broke

Performance Optimization

For large projects:

# Use focused analysis instead of analyzing everything
/sc:analyze src/components --focus quality     # Not entire project
/sc:analyze api/ --focus performance           # Specific performance focus

# Use depth control
/sc:analyze --depth quick                      # Fast overview
/sc:analyze critical-files/ --depth deep       # Deep dive where needed

For resource constraints:

# Use efficient command combinations
/sc:select-tool "complex operation" --efficiency  # Get optimal approach
/sc:spawn complex-task --parallel               # Parallel processing
/sc:save --checkpoint                           # Frequent saves to preserve work

---

Troubleshooting Command Issues 🔧

Common Command Problems and Solutions

"Command not working as expected":

# Try these diagnostic approaches
/sc:index --search "keyword"                   # Find relevant commands
/sc:select-tool "what you're trying to do"     # Get tool recommendations
/sc:reflect --type task "your goal"            # Validate approach

"Analysis taking too long":

# Use scope and depth control
/sc:analyze src/specific-folder --depth quick  # Narrow scope
/sc:analyze --focus specific-area              # Focus analysis
/sc:analyze file.js                           # Single file analysis

"Build commands failing":

# Systematic build troubleshooting
/sc:troubleshoot "build issue description" --type build
/sc:analyze package.json --focus dependencies
/sc:build --clean --verbose                   # Clean build with details

"Not sure which command to use":

# Command discovery
/sc:index                                     # Browse all commands
/sc:index --category analysis                 # Commands by category
/sc:index --search "performance"              # Search by keyword

When to Use Which Approach

Quick tasks (< 5 minutes):

• Use direct commands: /sc:analyze, /sc:build, /sc:improve
• Skip session management for one-off tasks
• Use --quick depth for fast results

Medium tasks (30 minutes - 2 hours):

• Initialize with /sc:load
• Use checkpoints: /sc:save --checkpoint
• Use --preview before making changes
• Validate with /sc:reflect

Long-term projects (days/weeks):

• Always use session lifecycle: /sc:load → work → /sc:save
• Use /sc:brainstorm for requirements discovery
• Plan with /sc:workflow for complex features
• Regular reflection and validation

Emergency fixes:

• Start with /sc:troubleshoot for diagnosis
• Use --safe flags for all changes
• Test immediately: /sc:test
• Document fixes: /sc:document --type fix

---

Quick Reference Cheat Sheet 📝

Most Useful Commands

/sc:load                    # Start session
/sc:analyze .               # Understand project  
/sc:implement feature-name  # Build features
/sc:improve messy-code     # Clean up code
/sc:troubleshoot "issue"   # Debug problems
/sc:build                  # Build project
/sc:test --coverage        # Test everything
/sc:save                   # Save session

Best Flag Combinations

--safe                     # Conservative changes only
--preview                  # Show changes before applying
--depth deep               # Thorough analysis
--focus security|performance|quality  # Domain-specific focus
--with-tests              # Include testing
--interactive             # Guided assistance
--format report           # Generate detailed reports

Emergency Commands

/sc:troubleshoot "critical issue" --fix    # Emergency fixes
/sc:analyze --focus security --depth deep  # Security emergencies
/sc:build --clean --verbose               # Build emergencies
/sc:reflect --type completion             # Validate fixes work

Session Management

/sc:load                              # Start/resume session
/sc:save --checkpoint "description"   # Save progress
/sc:reflect --type completion         # Validate completion
/sc:save "final description"          # End session

---

Remember: Learning Through Doing 🎯

The SuperClaude Philosophy:

• Start simple - Try /sc:analyze or /sc:implement first
• Let auto-activation work - SuperClaude picks experts for you
• Experiment freely - Use --preview to see what would happen
• Progressive enhancement - Start basic, add complexity as needed

Most important patterns:

1. Initialize sessions: /sc:load
2. Save progress: /sc:save --checkpoint
3. Validate completion: /sc:reflect
4. Preview before applying: --preview flag
5. Use safe modes: --safe flag

Remember: You don't need to memorize everything in this cookbook. SuperClaude is designed to be discoverable through use. Start with the Quick Examples section and experiment from there!

---

Related Guides

🚀 Foundation Knowledge (Start Here)

• Installation Guide - Get SuperClaude set up first
• SuperClaude User Guide - Understand the framework philosophy

📚 Deep Understanding (After Trying Examples)

• Commands Guide - Complete reference for all 21 commands
• Session Management Guide - Master /sc:load and /sc:save workflows
• Agents Guide - Understanding the 13 specialists behind the scenes

⚙️ Advanced Usage (When You Want Control)

• Flags Guide - Manual control and optimization flags
• Behavioral Modes Guide - How SuperClaude adapts automatically
• Best Practices Guide - Proven patterns for effective usage

🔧 When Examples Don't Work

• Troubleshooting Guide - Solutions for common command issues

🏗️ Technical Understanding (Optional)

• Technical Architecture Guide - How the system works internally

📖 Learning Path Using This Cookbook:

1. Try Quick Examples for immediate results
2. Follow Development Scenarios for complete workflows
3. Use Command Combinations for your specific needs
4. Reference Best Practices for optimization

---

Ready to start? Try /sc:load to initialize your session and pick any example that matches your current need! 🚀