shopping-cart-implementation
Building shopping cart systems that allow users to collect items for purchase, with proper state management, validation, price calculations, and cart persistence.
SKILL.md
| Name | shopping-cart-implementation |
| Description | Building shopping cart systems that allow users to collect items for purchase, with proper state management, validation, price calculations, and cart persistence. |
id: SKL-shopping-SHOPPINGCART name: Shopping Cart description: A shopping cart is a critical component of any e-commerce system, allowing users to collect items for purchase. This guide covers various cart architectures and implementations, including guest carts, version: 1.0.0 status: active owner: '@cerebra-team' last_updated: '2026-02-22' category: Backend tags:
- api
- backend
- server
- database stack:
- Python
- Node.js
- REST API
- GraphQL difficulty: Intermediate
Shopping Cart
Skill Profile
(Select at least one profile to enable specific modules)
- DevOps
- Backend
- Frontend
- AI-RAG
- Security Critical
Overview
A shopping cart is a critical component of any e-commerce system, allowing users to collect items for purchase. This guide covers various cart architectures and implementations, including guest carts, logged-in user carts, cart persistence, and cart abandonment tracking.
Why This Matters
- Conversion Rate: Smooth cart experience increases conversion
- User Experience: Persistent carts reduce friction
- Revenue Recovery: Cart abandonment emails recover lost sales
- Data Accuracy: Real-time price calculations prevent surprises
Core Concepts & Rules
1. Core Principles
- Follow established patterns and conventions
- Maintain consistency across codebase
- Document decisions and trade-offs
2. Implementation Guidelines
- Start with the simplest viable solution
- Iterate based on feedback and requirements
- Test thoroughly before deployment
Inputs / Outputs / Contracts
- Inputs:
- Product ID and variant ID
- Quantity
- Coupon codes
- User ID or session ID
- Entry Conditions:
- Product catalog available
- Session management configured
- Database or Redis for cart storage
- Outputs:
- Cart with items and totals
- Validation results
- Applied discounts
- Updated cart state
- Artifacts Required (Deliverables):
- Cart management API
- Cart state service
- Cart validation logic
- Cart abandonment tracking
- Acceptance Evidence:
- Unit tests for cart operations
- Integration tests with product catalog
- E2E tests for checkout flow
- Success Criteria:
- Cart operations < 50ms
- Cart merge < 200ms
- Price calculation < 100ms
Skill Composition
- Depends on: Product Catalog, Discount Promotions
- Compatible with: Order Management, Payment Gateways
- Conflicts with: None
- Related Skills: Checkout Flow, Cart Abandonment
Quick Start / Implementation Example
- Review requirements and constraints
- Set up development environment
- Implement core functionality following patterns
- Write tests for critical paths
- Run tests and fix issues
- Document any deviations or decisions
# Example implementation following best practices
def example_function():
# Your implementation here
pass
Assumptions / Constraints / Non-goals
- Assumptions:
- Development environment is properly configured
- Required dependencies are available
- Team has basic understanding of domain
- Constraints:
- Must follow existing codebase conventions
- Time and resource limitations
- Compatibility requirements
- Non-goals:
- This skill does not cover edge cases outside scope
- Not a replacement for formal training
Compatibility & Prerequisites
- Supported Versions:
- Python 3.8+
- Node.js 16+
- Modern browsers (Chrome, Firefox, Safari, Edge)
- Required AI Tools:
- Code editor (VS Code recommended)
- Testing framework appropriate for language
- Version control (Git)
- Dependencies:
- Language-specific package manager
- Build tools
- Testing libraries
- Environment Setup:
.env.examplekeys:API_KEY,DATABASE_URL(no values)
Test Scenario Matrix (QA Strategy)
| Type | Focus Area | Required Scenarios / Mocks |
|---|---|---|
| Unit | Core Logic | Must cover primary logic and at least 3 edge/error cases. Target minimum 80% coverage |
| Integration | DB / API | All external API calls or database connections must be mocked during unit tests |
| E2E | User Journey | Critical user flows to test |
| Performance | Latency / Load | Benchmark requirements |
| Security | Vuln / Auth | SAST/DAST or dependency audit |
| Frontend | UX / A11y | Accessibility checklist (WCAG), Performance Budget (Lighthouse score) |
Technical Guardrails & Security Threat Model
1. Security & Privacy (Threat Model)
- Top Threats: Injection attacks, authentication bypass, data exposure
- Data Handling: Sanitize all user inputs to prevent Injection attacks. Never log raw PII
- Secrets Management: No hardcoded API keys. Use Env Vars/Secrets Manager
- Authorization: Validate user permissions before state changes
2. Performance & Resources
- Execution Efficiency: Consider time complexity for algorithms
- Memory Management: Use streams/pagination for large data
- Resource Cleanup: Close DB connections/file handlers in finally blocks
3. Architecture & Scalability
- Design Pattern: Follow SOLID principles, use Dependency Injection
- Modularity: Decouple logic from UI/Frameworks
4. Observability & Reliability
- Logging Standards: Structured JSON, include trace IDs
request_id - Metrics: Track
error_rate,latency,queue_depth - Error Handling: Standardized error codes, no bare except
- Observability Artifacts:
- Log Fields: timestamp, level, message, request_id
- Metrics: request_count, error_count, response_time
- Dashboards/Alerts: High Error Rate > 5%
Agent Directives & Error Recovery
(ข้อกำหนดสำหรับ AI Agent ในการคิดและแก้ปัญหาเมื่อเกิดข้อผิดพลาด)
- Thinking Process: Analyze root cause before fixing. Do not brute-force.
- Fallback Strategy: Stop after 3 failed test attempts. Output root cause and ask for human intervention/clarification.
- Self-Review: Check against Guardrails & Anti-patterns before finalizing.
- Output Constraints: Output ONLY the modified code block. Do not explain unless asked.
Definition of Done (DoD) Checklist
- Tests passed + coverage met
- Lint/Typecheck passed
- Logging/Metrics/Trace implemented
- Security checks passed
- Documentation/Changelog updated
- Accessibility/Performance requirements met (if frontend)
Anti-patterns / Pitfalls
- ⛔ Don't: Log PII, catch-all exception, N+1 queries
- ⚠️ Watch out for: Common symptoms and quick fixes
- 💡 Instead: Use proper error handling, pagination, and logging
Reference Links & Examples
- Internal documentation and examples
- Official documentation and best practices
- Community resources and discussions
Versioning & Changelog
- Version: 1.0.0
- Changelog:
- 2026-02-22: Initial version with complete template structure