SkillOPIC

应用简介

精通REST和GraphQL API设计原则,构建直观、可扩展和易于维护的API,让开发者满意并经得起时间的考验。

---
name: api-design-principles
description: "Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time."
risk: safe
source: community
date_added: "2026-02-27"
---

# API Design Principles

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time.

## Use this skill when

- Designing new REST or GraphQL APIs
- Refactoring existing APIs for better usability
- Establishing API design standards for your team
- Reviewing API specifications before implementation
- Migrating between API paradigms (REST to GraphQL, etc.)
- Creating developer-friendly API documentation
- Optimizing APIs for specific use cases (mobile, third-party integrations)

## Do not use this skill when

- You only need implementation guidance for a specific framework
- You are doing infrastructure-only work without API contracts
- You cannot change or version public interfaces

## Instructions

1. Define consumers, use cases, and constraints.
2. Choose API style and model resources or types.
3. Specify errors, versioning, pagination, and auth strategy.
4. Validate with examples and review for consistency.

Refer to `resources/implementation-playbook.md` for detailed patterns, checklists, and templates.

## Resources

- `resources/implementation-playbook.md` for detailed patterns, checklists, and templates.

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
发布日期

5/16/2026

提供方

SkillOPIC

来源类型

导入

sickn33
coding

数据安全

使用 Skill 时,您的对话内容将被发送至 AI 模型进行处理。我们会严格保护您的隐私数据,不会将您的对话内容用于模型训练或分享给第三方。 以下为此 Skill 的数据处理说明。

此 Skill 将处理您的对话输入

您的消息将作为 Prompt 上下文发送至 AI 模型

所有通信均通过加密通道传输
对话记录仅保存在本地

您可以随时清除本地对话历史,清除后数据不可恢复

评分和评价

已验证评分
0 / 5
0条评价
1
0
2
0
3
0
4
0
5
0

暂无评价,快来抢沙发吧!

Skill 信息

了解此 Skill 的详细信息和功能特性

编程开发

后端开发

文件结构
6 个文件· 39.6 KB
assets
references
resources
SKILL.md1.8 KB
版本历史
  • 公开
  • 来源于用户导入

如需详细了解相关要求,请访问帮助中心,或给我们提交反馈信息