Wordpress Api

Skill Profile

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Overview

WordPress REST API enables headless WordPress implementations. This guide covers authentication, endpoints, custom post types, and Next.js integration for building content-driven applications with WordPress as a headless CMS.

Why This Matters

Flexibility: Decouple content management from presentation for better UX
Performance: Modern frontend frameworks provide better performance than traditional WordPress
Scalability: Headless architecture allows independent scaling of frontend and backend
Developer Experience: Use modern JavaScript/TypeScript instead of PHP

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:
- WordPress site URL
- Authentication credentials (Application Password or JWT token)
- Custom post type configurations
- Next.js project structure
Entry Conditions:
- WordPress site with REST API enabled
- Application Password or JWT plugin installed
- Custom post types registered if needed
- Next.js project initialized
Outputs:
- TypeScript client for WordPress API
- Next.js pages with SSG/ISR
- Custom endpoints for complex queries
- Parsed content with ACF fields
Artifacts Required (Deliverables):
- WordPress API client service
- Next.js pages with getStaticProps/getStaticPaths
- Custom WordPress functions.php modifications
- Environment configuration
Acceptance Evidence:
- Successful API connection test
- Content rendering in Next.js
- Cache invalidation working
- Authentication secured
Success Criteria:
- API response time < 500ms
- Cache hit rate ≥ 80%
- Build time < 5 minutes
- Content updates reflected within 60 seconds

Skill Composition

Depends on: Authentication (10-authentication-authorization/), Next.js Patterns (02-frontend/nextjs-patterns/)
Compatible with: Headless CMS (33-content-management/headless-cms/), Contentful Integration (33-content-management/contentful-integration/)
Conflicts with: Traditional WordPress PHP templating
Related Skills: headless-cms, contentful-integration

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.example keys: 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