SkillOPIC

应用简介

数据库设计原则与决策。模式设计、索引策略、ORM选择、无服务器数据库。

---
name: database-design
description: "Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases."
risk: safe
source: community
date_added: "2026-02-27"
---

# Database Design

> **Learn to THINK, not copy SQL patterns.**

## 🎯 Selective Reading Rule

**Read ONLY files relevant to the request!** Check the content map, find what you need.

| File | Description | When to Read |
|------|-------------|--------------|
| `database-selection.md` | PostgreSQL vs Neon vs Turso vs SQLite | Choosing database |
| `orm-selection.md` | Drizzle vs Prisma vs Kysely | Choosing ORM |
| `schema-design.md` | Normalization, PKs, relationships | Designing schema |
| `indexing.md` | Index types, composite indexes | Performance tuning |
| `optimization.md` | N+1, EXPLAIN ANALYZE | Query optimization |
| `migrations.md` | Safe migrations, serverless DBs | Schema changes |

---

## ⚠️ Core Principle

- ASK user for database preferences when unclear
- Choose database/ORM based on CONTEXT
- Don't default to PostgreSQL for everything

---

## Decision Checklist

Before designing schema:

- [ ] Asked user about database preference?
- [ ] Chosen database for THIS context?
- [ ] Considered deployment environment?
- [ ] Planned index strategy?
- [ ] Defined relationship types?

---

## Anti-Patterns

❌ Default to PostgreSQL for simple apps (SQLite may suffice)
❌ Skip indexing
❌ Use SELECT * in production
❌ Store JSON when structured data is better
❌ Ignore N+1 queries

## When to Use
This skill is applicable to execute the workflow or actions described in the overview.

## 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
8 个文件· 13.3 KB
scripts
database-selection.md1.1 KB
indexing.md892 B
migrations.md1.1 KB
optimization.md902 B
orm-selection.md771 B
schema-design.md1.4 KB
SKILL.md1.9 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