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db-schema-gen数据库模式生成

Agent Skill

db-schema-gen 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

20,352

周安装

848

GitHub Stars

公开资料未说明

下载量

6,784
OpenClaw

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

MIT-0

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-gen(数据库模式生成)
来源仓库:https://github.com/matrixtrickery/db-schema-gen
安装命令:
openclaw skills install db-schema-gen
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install db-schema-gen

简介

db-schema-gen 从自然语言描述自动生成数据库模式与 ERD 图。

  • 支持 PostgreSQL、MySQL、SQLite 与 MongoDB。
  • 可输出迁移脚本与索引建议。
  • 安装命令为 openclaw skills install db-schema-gen。
  • 生成结果需人工校验字段类型与关系准确性。

SKILL.md

name
db-schema
description
Generate database schemas, migrations, and ERD diagrams from plain English descriptions — supports PostgreSQL, MySQL, SQLite, and MongoDB with proper indexes and constraints.
metadata
{"openclaw":{"emoji":"🗄️","os":["darwin","linux","win32"]}}

DB Schema

Describe your data model in English. Get production-ready schema, migrations, and diagrams.

What It Does

Takes a plain English description of your data and generates:

  • SQL schema (CREATE TABLE statements with constraints)
  • Migration files (for Prisma, Drizzle, Knex, Alembic, etc.)
  • Entity-Relationship diagram (Mermaid or ASCII)
  • Indexes (auto-detected from common query patterns)
  • Seed data (realistic sample data for development)

Usage

From description:

db-schema "Users have many posts. Posts have many comments. Users can like posts."

With options:

db-schema "E-commerce with products, orders, customers" --dialect postgres --orm prisma

Options:

  • --dialectpostgres (default), mysql, sqlite, mongodb
  • --ormraw (default), prisma, drizzle, knex, sqlalchemy, typeorm
  • --formatsql (default), json, markdown
  • --diagram — include ERD diagram: mermaid (default), ascii, none
  • --seed — generate seed data (default: false)
  • --seed-count — rows per table for seed data (default: 10)

Generation Rules

Schema Design:

  1. Every table gets a primary keyid (BIGSERIAL for PG, AUTO_INCREMENT for MySQL, INTEGER AUTOINCREMENT for SQLite)
  2. Timestamps by defaultcreated_at and updated_at on every table
  3. Foreign keys with proper namingtable_id references table(id)
  4. ON DELETE behavior — CASCADE for owned relationships, SET NULL for optional
  5. Proper types — use appropriate types (TEXT not VARCHAR(255) for PG, TIMESTAMPTZ not TIMESTAMP)

Relationship Detection:

EnglishRelationshipImplementation
"has many"One-to-ManyFK on the "many" side
"belongs to"Many-to-OneFK on current table
"has one"One-to-OneFK with UNIQUE constraint
"many to many"Many-to-ManyJunction table
"can like/follow/tag"Many-to-ManyJunction table with metadata

Auto-Indexing:

PatternIndex Type
Foreign keysB-tree index
Email, usernameUNIQUE index
Created/updated datesB-tree index
Status/type/role columnsB-tree index
Full-text search fieldsGIN index (PG) / FULLTEXT (MySQL)
Slug/path columnsUNIQUE index
Composite lookupsComposite index

Type Mapping:

ConceptPostgreSQLMySQLSQLite
IDBIGSERIALBIGINT AUTO_INCREMENTINTEGER
Short textVARCHAR(N)VARCHAR(N)TEXT
Long textTEXTTEXTTEXT
MoneyNUMERIC(12,2)DECIMAL(12,2)REAL
BooleanBOOLEANTINYINT(1)INTEGER
TimestampTIMESTAMPTZDATETIMETEXT
JSONJSONBJSONTEXT
UUIDUUIDCHAR(36)TEXT
EnumCustom TYPEENUM(...)TEXT CHECK

Output (SQL):

-- Generated by db-schema
-- Description: E-commerce with products, orders, customers

CREATE TABLE customers (
    id BIGSERIAL PRIMARY KEY,
    email VARCHAR(255) NOT NULL UNIQUE,
    name VARCHAR(255) NOT NULL,
    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);

CREATE TABLE products (
    id BIGSERIAL PRIMARY KEY,
    name VARCHAR(255) NOT NULL,
    description TEXT,
    price NUMERIC(12,2) NOT NULL CHECK (price >= 0),
    stock INTEGER NOT NULL DEFAULT 0,
    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);

CREATE TABLE orders (
    id BIGSERIAL PRIMARY KEY,
    customer_id BIGINT NOT NULL REFERENCES customers(id) ON DELETE CASCADE,
    status VARCHAR(50) NOT NULL DEFAULT 'pending',
    total NUMERIC(12,2) NOT NULL DEFAULT 0,
    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);

CREATE TABLE order_items (
    id BIGSERIAL PRIMARY KEY,
    order_id BIGINT NOT NULL REFERENCES orders(id) ON DELETE CASCADE,
    product_id BIGINT NOT NULL REFERENCES products(id) ON DELETE RESTRICT,
    quantity INTEGER NOT NULL CHECK (quantity > 0),
    unit_price NUMERIC(12,2) NOT NULL
);

CREATE INDEX idx_orders_customer_id ON orders(customer_id);
CREATE INDEX idx_orders_status ON orders(status);
CREATE INDEX idx_order_items_order_id ON order_items(order_id);
CREATE INDEX idx_order_items_product_id ON order_items(product_id);

ERD Output (Mermaid):

erDiagram
    CUSTOMERS ||--o{ ORDERS : places
    ORDERS ||--|{ ORDER_ITEMS : contains
    PRODUCTS ||--o{ ORDER_ITEMS : "included in"

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

73.3%
按下载量换算4,973

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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

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。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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