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postgres-patterns

Modèles de base de données PostgreSQL pour l'optimisation des requêtes, la conception de schémas, l'indexation et la sécurité. Basé sur les bonnes pratiques Supabase. À utiliser lors de la conception de schémas PostgreSQL, d'index ou de politiques RLS, ou lorsqu'une requête est trop lente.

Qu'est-ce que postgres-patterns ?

Ce skill fournit un guide de référence rapide pour les bonnes pratiques PostgreSQL, couvrant l'indexation, les types de données, les modèles courants (index composites, partiels, covering), la pagination par curseur, le traitement de files d'attente, et les politiques RLS optimisées. Il inclut également des scripts de détection d'anti-patrons (clés étrangères non indexées, requêtes lentes, bloat de tables) et un modèle de configuration. Destiné aux développeurs et aux agents IA (comme Claude Code, Cursor, Codex), il est particulièrement adapté lorsqu'on utilise Supabase ou tout projet PostgreSQL nécessitant des optimisations rapides. Le skill s'appuie sur les recommandations de l'équipe Supabase et fonctionne avec n'importe quelle base PostgreSQL standard. Il est conçu pour être utilisé conjointement avec l'agent `database-reviewer` pour des révisions complètes de schémas.

Compatible avec~Claude Code~Codex CLI✓Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/postgres-patterns

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Documentation

Modèles PostgreSQL

Référence rapide pour les bonnes pratiques PostgreSQL. Pour des conseils détaillés, utilisez l'agent database-reviewer.

Quand activer

  • Écrire des requêtes SQL ou des migrations
  • Concevoir des schémas de base de données
  • Résoudre les problèmes de requêtes lentes
  • Mettre en œuvre la sécurité au niveau des lignes (RLS)
  • Configurer le pool de connexions

Référence rapide

Aide-mémoire sur les index

Type de requêteType d'indexExemple
WHERE col = valueB-tree (par défaut)CREATE INDEX idx ON t (col)
WHERE col > valueB-treeCREATE INDEX idx ON t (col)
WHERE a = x AND b > yCompositeCREATE 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)
Plages temporellesBRINCREATE INDEX idx ON t USING brin (col)

Aide-mémoire sur les types de données

Cas d'utilisationType correctÀ éviter
Identifiantsbigintint, UUID aléatoire
Chaînes de caractèrestextvarchar(255)
Horodatagestimestamptztimestamp
Monnaienumeric(10,2)float
Indicateursbooleanvarchar, int

Modèles courants

Ordre d'un index composite :

-- Colonnes d'égalité d'abord, puis colonnes de plage
CREATE INDEX idx ON orders (status, created_at);
-- Fonctionne pour : WHERE status = 'pending' AND created_at > '2024-01-01'

Index covering :

CREATE INDEX idx ON users (email) INCLUDE (name, created_at);
-- Évite la recherche en table pour SELECT email, name, created_at

Index partiel :

CREATE INDEX idx ON users (email) WHERE deleted_at IS NULL;
-- Index plus petit, uniquement les utilisateurs actifs

Politique RLS (optimisée) :

CREATE POLICY policy ON orders
  USING ((SELECT auth.uid()) = user_id);  -- Envelopper dans SELECT !

UPSERT :

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

Pagination par curseur :

SELECT * FROM products WHERE id > $last_id ORDER BY id LIMIT 20;
-- O(1) contre OFFSET qui est O(n)

Traitement de file d'attente :

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 *;

Détection d'anti-patrons

-- Trouver les clés étrangères non indexées
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)
  );

-- Trouver les requêtes lentes
SELECT query, mean_exec_time, calls
FROM pg_stat_statements
WHERE mean_exec_time > 100
ORDER BY mean_exec_time DESC;

-- Vérifier le bloat des tables
SELECT relname, n_dead_tup, last_vacuum
FROM pg_stat_user_tables
WHERE n_dead_tup > 1000
ORDER BY n_dead_tup DESC;

Modèle de configuration

-- Limites de connexion (ajuster selon la 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';

-- Surveillance
CREATE EXTENSION IF NOT EXISTS pg_stat_statements;

-- Sécurités par défaut
REVOKE ALL ON SCHEMA public FROM public;

SELECT pg_reload_conf();

Associés

  • Agent : database-reviewer - Workflow complet de révision de base de données
  • Skill : clickhouse-io - Modèles d'analyse ClickHouse
  • Skill : backend-patterns - Modèles API et backend

Basé sur Supabase Agent Skills (crédit : équipe Supabase) (Licence MIT)

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/ECC

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

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