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Agent Skill · 开发

howto-develop-with-postgres(howto develop with Postgres 开发)

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。它适合让 Agent 分析 schema、编写 SQL、排查查询问题、整理索引或生成迁移建议。使用时需要明确数据库类型、连接环境和目标表,区分只读分析与写入变更;涉及删除、更新、迁移和批量导入时,应优先 dry-run、备份或事务保护,避免误操作。

howto-develop-with-postgres 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 19,580。

总安装 267周安装 11GitHub Stars 176下载 87核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:howto-develop-with-postgres(howto develop with Postgres 开发)
来源仓库:https://github.com/ed3dai/ed3d-plugins
仓库路径:skills/howto-develop-with-postgres
安装命令:
npx skills add https://github.com/ed3dai/ed3d-plugins --skill howto-develop-with-postgres
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/ed3dai/ed3d-plugins --skill howto-develop-with-postgres

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于辅助 PostgreSQL 数据库的表结构、查询语句和迁移脚本开发。适合分析 schema、编写 SQL、排查查询问题或生成索引建议。使用时需明确数据库类型、连接环境和目标表,区分只读与写入操作。涉及删除、更新或批量导入时,应优先进行 dry-run 或事务保护。操作前务必做好数据备份,避免误操作导致数据丢失。

来源仓库内路径:skills/howto-develop-with-postgres

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/ed3dai/ed3d-plugins --skill howto-develop-with…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

howto-develop-with-postgres 怎么安装?

在终端执行 npx skills add https://github.com/ed3dai/ed3d-plugins --skill howto-develop-with-postgres。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

howto-develop-with-postgres 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

howto-develop-with-postgres 需要什么权限?

权限级别是只读。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。

howto-develop-with-postgres 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

howto-develop-with-postgres 用的人多吗?

公开数据是累计安装 267 次,近一周安装 11 次,下载 87 次,GitHub 176 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

howto-develop-with-postgres 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
howto-develop-with-postgres

howto develop with Postgres 开发 · 本页

267176只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

PostgreSQL Development Patterns

Overview

Enforce transaction safety, type safety, and naming conventions to prevent data corruption and runtime errors.

Core principles:

  • Transactions prevent partial updates (data corruption)
  • Type safety catches errors at compile time
  • Naming conventions ensure consistency
  • Read-write separation prevents accidental mutations

For TypeScript/Drizzle implementations: See typescript-drizzle.md for concrete patterns.

Transaction Management

TX_ Prefix Rule (STRICT ENFORCEMENT)

Methods that START transactions:

  • Prefix method name with TX_
  • Must NOT accept connection/executor parameter
  • Call connection.transaction() or db.transaction() internally

Methods that PARTICIPATE in transactions:

  • No TX_ prefix
  • MUST accept connection/executor parameter with default value
  • Execute queries using the provided executor
// GOOD: Starts transaction, has TX_ prefix, no executor parameter
async TX_createUserWithProfile(userData: UserData, profileData: ProfileData): Promise<User> {
  return this.db.transaction(async (tx) => {
    const user = await this.createUser(userData, tx);
    await this.createProfile(user.id, profileData, tx);
    return user;
  });
}

// GOOD: Participates in transaction, no TX_ prefix, takes executor
async createUser(userData: UserData, executor: Drizzle = this.db): Promise<User> {
  return executor.insert(USERS).values(userData).returning();
}

// BAD: Starts transaction but missing TX_ prefix
async createUserWithProfile(userData: UserData, profileData: ProfileData): Promise<User> {
  return this.db.transaction(async (tx) => { /* ... */ });
}

// BAD: Has TX_ prefix but takes executor parameter (allows nesting)
async TX_createUser(userData: UserData, executor: Drizzle = this.db): Promise<User> {
  return executor.transaction(async (tx) => { /* ... */ });
}

What DOES NOT count as "starting a transaction":

  • Single INSERT/UPDATE/DELETE operations
  • Atomic operations like onConflictDoUpdate
  • SELECT queries

Type Safety

Primary Keys

Default: ULID stored as UUID

  • When in doubt, use ULID: "Most things can leak in some way"
  • Prevents ID enumeration attacks
  • Time-sortable for indexing efficiency

Exceptions (context-dependent):

  • Pure join tables (composite PK from both FKs)
  • Small lookup tables (serial/identity acceptable)
  • Internal-only tables with no user visibility (serial/identity acceptable)

Rule: If unsure whether data will be user-visible, use ULID.

Financial Data

Use exact decimal types (numeric/decimal) for monetary values:

  • Never use float/double for money (causes rounding errors)
  • Use numeric/decimal with appropriate precision and scale
  • Example: numeric(19, 4) for general financial data

Why: Floating-point types accumulate rounding errors. Exact decimal types prevent financial discrepancies.

JSONB Columns

ALWAYS type JSONB columns in your ORM/schema:

  • Use typed schema when structure is known
  • Use Record<string, unknown> if truly schemaless
  • Never leave JSONB untyped

Why: Prevents runtime errors from accessing undefined properties or wrong types.

Read-Write Separation

Maintain separate client types at compile time:

  • Read-write client: Full mutation capabilities
  • Read-only client: Mutation methods removed at type level
  • Default to read-only for query methods
  • Use read-write only when mutations needed

Why: Prevents accidental writes to replica, enforces deliberate mutation choices.

Naming Conventions

Database Identifiers

All database objects use snake_case:

  • Tables: user_preferences, order_items
  • Columns: created_at, user_id, is_active
  • Indexes: idx_tablename_columns (e.g., idx_users_email)
  • Foreign keys: fk_tablename_reftable (e.g., fk_orders_users)

Application code: Map to idiomatic case (camelCase in TypeScript, etc.)

Schema Patterns

Standard mixins:

  • created_at, updated_at timestamps on all tables
  • deleted_at for soft deletion when needed
  • tenant_id for multi-tenant tables (project-dependent)

Proactive indexing:

  • All foreign key columns
  • Columns used in WHERE clauses
  • Columns used in JOIN conditions
  • Columns used in ORDER BY

Concurrency

Default isolation (Read Committed) for most operations.

Use stricter isolation when:

  • Financial operations: Serializable isolation
  • Inventory/count operations: Serializable isolation
  • Critical sections: Pessimistic locking (SELECT... FOR UPDATE)

Migrations

Always use generate + migrate workflow:

  1. Change schema in code
  2. Generate migration file
  3. Review migration SQL
  4. Apply migration to database

Never use auto-push workflow in production.

Common Mistakes

MistakeRealityFix
"This is one operation, doesn't need transaction"Multi-step operations without transactions cause partial updates and data corruptionWrap in transaction with TX_ prefix
"Single atomic operation needs TX_ prefix"TX_ is for explicit transaction blocks, not atomic operationsNo TX_ for single INSERT/UPDATE/DELETE
"UUID is just a string"Type confusion causes runtime errors (wrong ID formats, failed lookups)Use strict UUID type in language
"I'll type JSONB later when schema stabilizes"Untyped JSONB leads to undefined property access and type errorsType immediately with known fields or Record<string, unknown>
"Read client vs write client doesn't matter"Using wrong client bypasses separation, allows accidental mutationsUse read-only client by default, switch deliberately
"I'll add indexes when we see performance issues"Missing indexes on foreign keys cause slow queries from day oneAdd indexes proactively for FKs and common filters
"This table won't be user-visible, use serial"Requirements change, IDs leak in logs/URLs/errorsUse ULID by default unless certain it's internal-only
"Float/double is fine for money, close enough"Rounding errors accumulate, causing financial discrepancies (0.01 differences multiply)Use numeric/decimal types for exact arithmetic

Red Flags - STOP and Refactor

Transaction management:

  • Method calls .transaction() but no TX_ prefix
  • Method has TX_ prefix but accepts executor parameter
  • Multi-step operation without transaction wrapper

Type safety:

  • JSONB column without type annotation
  • UUID/ULID stored as plain string type
  • No separation between read and write clients
  • Float/double types for monetary values

Schema:

  • Missing indexes on foreign keys
  • No created_at/updated_at timestamps
  • camelCase or PascalCase in database identifiers

All of these mean: Stop and fix immediately.

Reference

For TypeScript/Drizzle concrete implementations: typescript-drizzle.md

平台分布

Codex

35.01%
按下载量换算30

Claude

30.35%
按下载量换算26

Cursor

20.38%
按下载量换算18

Gemini CLI

9.52%
按下载量换算8

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

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。目前只有一个公开来源,建议同时核对源仓库。

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