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Postgres Patterns

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affaan-m
postgres-patterns

Patrones de base de datos PostgreSQL para optimización de consultas, diseño de esquemas, indexación y seguridad. Basado en las buenas prácticas de Supabase.

Overview

Publisheraffaan-m
RepositoryECC
Skill namepostgres-patterns
Stars
261.1K
Forks
39.1K
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 affaan-m 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/affaan-m/ECC.git /tmp/ECC
mkdir -p .claude/skills
cp -r /tmp/ECC/docs/es/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.

Patrones PostgreSQL

Referencia rápida de las buenas prácticas de PostgreSQL. Para orientación detallada, usa el agente database-reviewer.

Cuándo Activar

  • Escribir consultas SQL o migraciones
  • Diseñar esquemas de base de datos
  • Diagnosticar consultas lentas
  • Implementar Row Level Security
  • Configurar connection pooling

Referencia Rápida

Tabla de Índices

Patrón de ConsultaTipo de ÍndiceEjemplo
WHERE col = valueB-tree (por defecto)CREATE INDEX idx ON t (col)
WHERE col > valueB-treeCREATE INDEX idx ON t (col)
WHERE a = x AND b > yCompuestoCREATE 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)
Rangos de series temporalesBRINCREATE INDEX idx ON t USING brin (col)

Referencia Rápida de Tipos de Datos

Caso de UsoTipo CorrectoEvitar
IDsbigintint, UUID aleatorio
Cadenastextvarchar(255)
Timestampstimestamptztimestamp
Dineronumeric(10,2)float
Flagsbooleanvarchar, int

Patrones Comunes

Orden del Índice Compuesto:

sql
-- Columnas de igualdad primero, luego columnas de rango
CREATE INDEX idx ON orders (status, created_at);
-- Funciona para: WHERE status = 'pending' AND created_at > '2024-01-01'

Índice de Cobertura:

sql
CREATE INDEX idx ON users (email) INCLUDE (name, created_at);
-- Evita la búsqueda en tabla para SELECT email, name, created_at

Índice Parcial:

sql
CREATE INDEX idx ON users (email) WHERE deleted_at IS NULL;
-- Índice más pequeño, solo incluye usuarios activos

Política RLS (Optimizada):

sql
CREATE POLICY policy ON orders
  USING ((SELECT auth.uid()) = user_id);  -- ¡Envolver en SELECT!

UPSERT:

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

Paginación por Cursor:

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

Procesamiento de Cola:

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 *;

Detección de Anti-Patrones

sql
-- Encontrar claves foráneas sin índice
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)
  );

-- Encontrar consultas lentas
SELECT query, mean_exec_time, calls
FROM pg_stat_statements
WHERE mean_exec_time > 100
ORDER BY mean_exec_time DESC;

-- Verificar bloat de tablas
SELECT relname, n_dead_tup, last_vacuum
FROM pg_stat_user_tables
WHERE n_dead_tup > 1000
ORDER BY n_dead_tup DESC;

Plantilla de Configuración

sql
-- Límites de conexión (ajustar según RAM)
ALTER SYSTEM SET max_connections = 100;
ALTER SYSTEM SET work_mem = '8MB';

-- Timeouts
ALTER SYSTEM SET idle_in_transaction_session_timeout = '30s';
ALTER SYSTEM SET statement_timeout = '30s';

-- Monitoreo
CREATE EXTENSION IF NOT EXISTS pg_stat_statements;

-- Valores predeterminados de seguridad
REVOKE ALL ON SCHEMA public FROM public;

SELECT pg_reload_conf();

Relacionado

  • Agente: database-reviewer - Flujo de trabajo completo de revisión de base de datos
  • Skill: clickhouse-io - Patrones de analítica en ClickHouse
  • Skill: backend-patterns - Patrones de API y backend

Basado en Agent Skills de Supabase (crédito: equipo de Supabase) (Licencia MIT)

Frequently asked questions

What does the Postgres Patterns AI skill do?

Patrones de base de datos PostgreSQL para optimización de consultas, diseño de esquemas, indexación y seguridad. Basado en las buenas prácticas de Supabase.

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/affaan-m/ECC/tree/main/docs/es/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 affaan-m 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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