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Postgres Patterns

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xu-xiang
postgres-patterns

PostgreSQL 数据库模式,涵盖查询优化、架构设计、索引和安全。基于 Supabase 最佳实践。

Overview

Publisherxu-xiang
Repositoryeverything-claude-code-zh
Skill namepostgres-patterns
Stars
1.9K
Forks
318
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by xu-xiang on GitHub. Read the source before you install it.

Installation

Install the Postgres Patterns AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/xu-xiang/everything-claude-code-zh.git /tmp/everything-claude-code-zh
mkdir -p .claude/skills
cp -r /tmp/everything-claude-code-zh/docs/ja-JP/skills/postgres-patterns .claude/skills/postgres-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Postgres Patterns in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Postgres Patterns on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Postgres Patterns is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

PostgreSQL 模式 (Patterns)

PostgreSQL 最佳实践快速参考。如需详细指导,请使用 database-reviewer 智能体 (Agent)。

触发时机

  • 创建 SQL 查询或迁移 (Migration) 时
  • 设计数据库架构 (Schema) 时
  • 排查低速查询时
  • 实现行级安全 (Row Level Security) 时
  • 配置连接池 (Connection Pooling) 时

快速参考

索引速查表 (Index Cheat Sheet)

查询模式索引类型示例
WHERE col = valueB-tree(默认)CREATE INDEX idx ON t (col)
WHERE col > valueB-treeCREATE INDEX idx ON t (col)
WHERE a = x AND b > y复合索引 (Composite)CREATE INDEX idx ON t (a, b)
WHERE jsonb @> '{}'GINCREATE INDEX idx ON t USING gin (col)
WHERE tsv @@ queryGINCREATE INDEX idx ON t USING gin (col)
时序范围BRINCREATE INDEX idx ON t USING brin (col)

数据类型快速参考

用途正确类型应当避免
IDbigintint、随机 UUID
字符串textvarchar(255)
时间戳timestamptztimestamp
金额numeric(10,2)float
标志位booleanvarcharint

常用模式

复合索引顺序:

sql
-- 等值列在前,范围列在后
CREATE INDEX idx ON orders (status, created_at);
-- 适用于: WHERE status = 'pending' AND created_at > '2024-01-01'

覆盖索引 (Covering Index):

sql
CREATE INDEX idx ON users (email) INCLUDE (name, created_at);
-- 避免针对 email, name, created_at 的表查找 (Table scan)

部分索引 (Partial Index):

sql
CREATE INDEX idx ON users (email) WHERE deleted_at IS NULL;
-- 索引更小,仅包含活跃用户

RLS 策略(优化):

sql
CREATE POLICY policy ON orders
  USING ((SELECT auth.uid()) = user_id);  -- 使用 SELECT 包装!

UPSERT:

sql
INSERT INTO settings (user_id, key, value)
VALUES (123, 'theme', 'dark')
ON CONFLICT (user_id, key)
DO UPDATE SET value = EXCLUDED.value;

游标分页 (Cursor Pagination):

sql
SELECT * FROM products WHERE id > $last_id ORDER BY id LIMIT 20;
-- O(1) 对比 OFFSET 的 O(n)

队列处理 (Queue Processing):

sql
UPDATE jobs SET status = 'processing'
WHERE id = (
  SELECT id FROM jobs WHERE status = 'pending'
  ORDER BY created_at LIMIT 1
  FOR UPDATE SKIP LOCKED
) RETURNING *;

反模式 (Anti-patterns) 检测

sql
-- 查找没有索引的外键
SELECT conrelid::regclass, a.attname
FROM pg_constraint c
JOIN pg_attribute a ON a.attrelid = c.conrelid AND a.attnum = ANY(c.conkey)
WHERE c.contype = 'f'
  AND NOT EXISTS (
    SELECT 1 FROM pg_index i
    WHERE i.indrelid = c.conrelid AND a.attnum = ANY(i.indkey)
  );

-- 查找低速查询
SELECT query, mean_exec_time, calls
FROM pg_stat_statements
WHERE mean_exec_time > 100
ORDER BY mean_exec_time DESC;

-- 检查表膨胀 (Table Bloat)
SELECT relname, n_dead_tup, last_vacuum
FROM pg_stat_user_tables
WHERE n_dead_tup > 1000
ORDER BY n_dead_tup DESC;

配置模板

sql
-- 连接限制(根据 RAM 调整)
ALTER SYSTEM SET max_connections = 100;
ALTER SYSTEM SET work_mem = '8MB';

-- 超时设置
ALTER SYSTEM SET idle_in_transaction_session_timeout = '30s';
ALTER SYSTEM SET statement_timeout = '30s';

-- 监控
CREATE EXTENSION IF NOT EXISTS pg_stat_statements;

-- 安全默认值
REVOKE ALL ON SCHEMA public FROM public;

SELECT pg_reload_conf();

相关

  • 智能体 (Agent): database-reviewer - 完整的数据库评审工作流
  • 技能 (Skill): clickhouse-io - ClickHouse 分析模式
  • 技能 (Skill): backend-patterns - API 和后端模式

基于 [Supabase Agent Skills](Supabase Agent Skills (credit: Supabase team))(MIT 许可证)

Frequently asked questions

What does the Postgres Patterns AI skill do?

PostgreSQL 数据库模式,涵盖查询优化、架构设计、索引和安全。基于 Supabase 最佳实践。

Why use Postgres Patterns on TypingMind?

Because you install it once and use it with any model. Postgres Patterns is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Postgres Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xu-xiang/everything-claude-code-zh/tree/main/docs/ja-JP/skills/postgres-patterns. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Postgres Patterns?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Postgres Patterns?

As many as you like. As long as a model supports skills, you can use Postgres Patterns with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Postgres Patterns AI skill free?

Yes. It is published on GitHub by xu-xiang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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