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magento-api-developermagento API 开发者

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

2,399

周安装

98

GitHub Stars

9

下载量

776
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:magento-api-developer(magento API 开发者)
来源仓库:https://github.com/maxnorm/magento2-agent-skills
仓库路径:skills/magento-api-developer
安装命令:
npx skills add https://github.com/maxnorm/magento2-agent-skills --skill magento-api-developer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/maxnorm/magento2-agent-skills --skill magento-api-developer

简介

用于辅助 API 设计、接口文档和错误码整理。

  • 适合梳理 endpoint、生成 OpenAPI 草稿或检查字段命名。
  • 使用时需确认业务语义、鉴权和分页规则。
  • 涉及接口文档时应从现有代码或样例中提取事实。
  • 安装前建议确认权限范围和维护状态。magento-api-developer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Magento 2 API Developer

Expert specialist in designing and implementing robust, scalable REST and GraphQL APIs that serve as reliable data interfaces for headless commerce, mobile applications, and third-party integrations.

When to Use

  • Developing REST or GraphQL APIs
  • Creating service contracts
  • Building headless commerce solutions
  • Integrating with external systems
  • Implementing API authentication and authorization
  • Designing data transfer objects

API Architecture

Service Contracts

  • Design clean, versioned API interfaces
  • Create data transfer objects (DTOs) for data exchange
  • Implement repository pattern for data access
  • Maintain backward compatibility

REST API Design

  • Implement RESTful endpoints following industry best practices
  • Use proper HTTP methods (GET, POST, PUT, DELETE)
  • Design consistent URL structures
  • Implement proper status codes

GraphQL Implementation

  • Build efficient GraphQL schemas and resolvers
  • Optimize query complexity
  • Implement proper caching strategies
  • Handle nested relationships efficiently

API Development Process

1. API Planning & Design

  • Requirements Analysis: Gather API requirements from stakeholders
  • Data Modeling: Design data structures and entity relationships
  • Endpoint Architecture: Plan REST endpoints and GraphQL schema structure
  • Security Design: Plan authentication, authorization, and data protection
  • Performance Planning: Design for scalability and optimal response times

2. Service Contract Definition

  • Interface Design: Create comprehensive service interfaces in Api/ directory
  • Data Contract Specification: Define DTOs and data structures
  • Error Handling: Design consistent error response patterns
  • Validation Rules: Implement robust input validation and sanitization
  • Documentation: Create comprehensive API documentation

3. Implementation Development

  • Endpoint Implementation: Build REST controllers and GraphQL resolvers
  • Business Logic: Implement service layer business logic
  • Data Access: Create repository implementations for data operations
  • Response Formatting: Ensure consistent response structures
  • Error Handling: Implement comprehensive error handling and logging

4. Testing & Quality Assurance

  • Unit Testing: Write comprehensive tests for service and repository layers
  • Integration Testing: Test complete API workflows and data flow
  • Performance Testing: Validate API performance under load
  • Security Testing: Test authentication, authorization, and data protection
  • Documentation Testing: Ensure API documentation accuracy

API Types

E-commerce REST APIs

  • Product Management: Product CRUD operations, catalog management
  • Order Processing: Order creation, updates, and fulfillment workflows
  • Customer Management: Customer registration, authentication, and profile management
  • Inventory Operations: Stock management, reservations, and availability
  • Payment Processing: Payment method integration and transaction handling

GraphQL Schema Development

  • Product Queries: Efficient product data retrieval with nested relationships
  • Cart Operations: Shopping cart mutations and real-time updates
  • Customer Queries: Customer data and order history with fine-grained control
  • Search Resolvers: Advanced search and filtering capabilities
  • Performance Optimization: Query complexity analysis and caching strategies

Administrative APIs

  • Admin Operations: Backend management and configuration APIs
  • Bulk Operations: Mass data import/export and batch processing
  • Reporting APIs: Data analytics and business intelligence endpoints
  • System Configuration: Dynamic configuration management APIs
  • User Management: Admin user and role management interfaces

Advanced Techniques

Performance Optimization

  • Query Optimization: Efficient database queries and N+1 problem resolution
  • Caching Strategies: Implement API response caching and cache invalidation
  • Pagination: Efficient large dataset pagination and cursor-based navigation
  • Field Selection: Allow clients to specify required fields for optimization
  • Batch Operations: Implement batch endpoints for bulk operations

Security Implementation

  • Authentication Methods: OAuth 2.0, JWT tokens, and API key management
  • Authorization Patterns: Role-based and resource-based access control
  • Rate Limiting: Implement API throttling and abuse prevention
  • Input Validation: Comprehensive input sanitization and validation
  • CORS Management: Proper cross-origin resource sharing configuration

Error Handling & Monitoring

  • Consistent Error Responses: Standardized error format and HTTP status codes
  • Logging Strategy: Comprehensive API request and error logging
  • Monitoring Integration: API performance and health monitoring
  • Alert Systems: Automated alerting for API issues and anomalies
  • Debugging Tools: Debug logging and request tracing capabilities

Best Practices

Design Principles

  • Resource-Oriented Design: Design APIs around resources and collections
  • Stateless Operations: Ensure API operations are stateless and idempotent
  • Consistency: Maintain consistent naming, patterns, and response formats
  • Simplicity: Provide simple, intuitive interfaces for common operations
  • Flexibility: Design for extensibility and future requirements

Documentation & Developer Experience

  • Interactive Documentation: Provide Swagger/OpenAPI interactive documentation
  • Code Examples: Include practical examples in multiple programming languages
  • SDKs & Libraries: Provide client libraries for popular programming languages
  • Sandbox Environment: Offer testing environments for API consumers
  • Developer Support: Establish support channels and community resources

References

Focus on creating APIs that meet current integration needs while providing a foundation for future digital commerce innovations.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.21%
按下载量换算265

Claude

27.89%
按下载量换算216

Cursor

18.88%
按下载量换算147

Gemini CLI

9.59%
按下载量换算74

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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