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db-schema数据库模式

Agent Skill

db-schema 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

210

周安装

9

GitHub Stars

35

下载量

73
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:db-schema(数据库模式)
来源仓库:https://github.com/kazdenc/builder-skills
仓库路径:skills/db-schema
安装命令:
npx skills add https://github.com/kazdenc/builder-skills --skill db-schema
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/kazdenc/builder-skills --skill db-schema

简介

db-schema 根据产品需求设计 Postgres 数据库表结构与关系模型。

  • 适用于从零构建数据模型时提取实体、属性和关联关系,输出规范化建表方案。
  • 采用名词-动词分析法识别候选表和字段,支持枚举和状态列设计建议。
  • 不替代业务逻辑判断,需用户澄清模糊需求后输出可执行的 DDL 草案。
  • db-schema 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Database Schema Design

Design a Postgres database schema from product requirements. If target is provided, scope to that feature. Otherwise, ask the user what they're building.

Step 1: Identify Entities and Relationships

Read the requirements (PRD, user stories, or conversation). Extract:

  • Nouns = candidate tables (users, projects, comments, invoices)
  • Verbs = candidate relationships (creates, belongs to, has many)
  • Adjectives/states = candidate columns or enums (active, draft, published)

Ask clarifying questions if the requirements are ambiguous. Don't guess at business logic.

Step 2: Design Tables

Follow these conventions on every table:

ConventionRuleExample
Table namessnake_case, pluraluser_profiles, org_members
Column namessnake_casefirst_name, created_at
Primary keysuuid, auto-generatedid uuid default gen_random_uuid() primary key
TimestampsOn every table, non-nullablecreated_at timestamptz default now() not null
Updated timestampOn every tableupdated_at timestamptz default now() not null
Foreign keysNamed explicitly, with on deleteuser_id uuid references users(id) on delete cascade
Soft deletesUse deleted_at timestamptz when neededOnly when business requires undo/recovery
BooleansPrefix with is_ or has_is_active, has_verified_email

Postgres Type Recommendations

DataUseDon't useWhy
Identifiersuuidserial, integerNon-sequential, safe to expose, no collision across tables
TimestampstimestamptztimestampAlways store timezone-aware. Convert on display.
Moneynumeric(12,2) or bigint (cents)float, realFloating point causes rounding errors
Emailtext with check constraintvarchar(255)text is faster in Postgres. Constrain with check.
Short stringstextvarchar(n)Postgres text has no performance penalty. Use check(length(col) <= n) if needed.
Status/enumtext with check, or Postgres enumMagic integerscheck (status in ('draft','published','archived'))
JSON datajsonbjsonjsonb is indexable and more efficient
IP addressesinettextNative type supports operations
Tags/arraystext[] or junction tableCSV in text columnArrays for simple cases, junction table for queryable tags

Step 3: Define Relationships

One-to-Many

Put the foreign key on the "many" side:

create table posts (
  id uuid default gen_random_uuid() primary key,
  user_id uuid references users(id) on delete cascade not null,
  title text not null,
  created_at timestamptz default now() not null,
  updated_at timestamptz default now() not null
);

One-to-One

Same as one-to-many but add a unique constraint:

create table user_profiles (
  id uuid default gen_random_uuid() primary key,
  user_id uuid references users(id) on delete cascade not null unique,
  bio text,
  avatar_url text,
  created_at timestamptz default now() not null,
  updated_at timestamptz default now() not null
);

Many-to-Many

Use a junction table. Name it <table_a>_<table_b> in alphabetical order, or use a domain name if clearer:

create table project_members (
  project_id uuid references projects(id) on delete cascade not null,
  user_id uuid references users(id) on delete cascade not null,
  role text not null default 'member' check (role in ('owner','admin','member','viewer')),
  joined_at timestamptz default now() not null,
  primary key (project_id, user_id)
);

Step 4: Add Indexes

Create indexes for:

Index whenExample
Foreign keys (always)create index idx_posts_user_id on posts(user_id);
Columns in WHERE clausescreate index idx_posts_status on posts(status);
Columns in ORDER BYcreate index idx_posts_created_at on posts(created_at desc);
Unique lookupscreate unique index idx_users_email on users(email);
Composite queriescreate index idx_posts_user_status on posts(user_id, status);
Full-text searchcreate index idx_posts_title_search on posts using gin(to_tsvector('english', title));

Don't over-index. Each index costs write performance. Start with foreign keys and obvious query patterns. Add more based on actual query plans.

Step 5: Write the Migration

Put everything in a Supabase migration:

npx supabase migration new create_initial_schema

Structure the migration file:

-- 1. Create enums (if using Postgres enums)
-- 2. Create tables (parent tables first, then children)
-- 3. Create indexes
-- 4. Enable RLS on all tables
-- 5. Create RLS policies
-- 6. Create functions and triggers (e.g., updated_at trigger)

-- Updated_at trigger function (create once, reuse)
create or replace function update_updated_at()
returns trigger as $$
begin
  new.updated_at = now();
  return new;
end;
$$ language plpgsql;

-- Example table
create table users (
  id uuid default gen_random_uuid() primary key,
  email text not null unique,
  full_name text,
  avatar_url text,
  created_at timestamptz default now() not null,
  updated_at timestamptz default now() not null
);

-- Apply updated_at trigger
create trigger set_updated_at
  before update on users
  for each row execute function update_updated_at();

-- Enable RLS
alter table users enable row level security;

-- Indexes
create index idx_users_email on users(email);

Step 6: Supabase-Specific Guidance

ConcernApproach
Auth usersSupabase manages auth.users. Reference with auth.uid(). Create a public.users or public.profiles table that mirrors/extends it.
Auto-create profileUse a trigger on auth.users insert to create a row in public.profiles
RLSEnable on every table. Write policies immediately. See supabase-setup skill for patterns.
RealtimeAdd tables to Supabase Realtime publication if live updates are needed: alter publication supabase_realtime add table <table>;
Type generationRun npx supabase gen types typescript --local after every migration

Auto-create profile trigger

create or replace function public.handle_new_user()
returns trigger as $$
begin
  insert into public.profiles (user_id, email, full_name, avatar_url)
  values (
    new.id,
    new.email,
    new.raw_user_meta_data->>'full_name',
    new.raw_user_meta_data->>'avatar_url'
  );
  return new;
end;
$$ language plpgsql security definer;

create trigger on_auth_user_created
  after insert on auth.users
  for each row execute function public.handle_new_user();

Schema Review Checklist

CheckPass?
Every table has id uuid primary key
Every table has created_at and updated_at
All foreign keys have on delete behavior defined
All foreign keys have indexes
RLS is enabled on every table
No varchar without justification (use text)
No timestamp without tz (use timestamptz)
No floating point for money
Junction tables have composite primary keys
updated_at trigger is applied to all tables
Migration runs cleanly on supabase db reset
Types regenerated after migration

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

35.38%
按下载量换算26

Claude

33.87%
按下载量换算25

Cursor

17.62%
按下载量换算13

Gemini CLI

10.11%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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来源信息

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