Agent Skills: postgresql

Guides PostgreSQL development including table design, indexing, constraints, PL/pgSQL, JSONB, full-text search, window functions, CTEs, EXPLAIN ANALYZE tuning, backup/restore, replication, and extensions like pgvector. Use when the user needs to write or optimize PostgreSQL queries, design schemas, or manage PostgreSQL databases.

UncategorizedID: teachingai/full-stack-skills/postgresql

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skills/database-skills/postgresql/SKILL.md

Skill Metadata

Name
postgresql
Description
"Guides PostgreSQL development including table design, indexing, constraints, PL/pgSQL, JSONB, full-text search, window functions, CTEs, EXPLAIN ANALYZE tuning, backup/restore, replication, and extensions like pgvector. Use when the user needs to write or optimize PostgreSQL queries, design schemas, or manage PostgreSQL databases."

When to use this skill

Use this skill whenever the user wants to:

  • Design tables, indexes, constraints, triggers, or PL/pgSQL functions
  • Write or optimize SQL queries (joins, CTEs, window functions, aggregations)
  • Use PostgreSQL-specific features (JSONB, full-text search, array types, pgvector)
  • Manage users, roles, and permissions with psql
  • Configure backup (pg_dump), replication, or performance tuning (EXPLAIN ANALYZE)

How to use this skill

Workflow

  1. Identify the task - Schema design, query writing, optimization, or administration
  2. Write the SQL - Use the patterns and examples below
  3. Analyze performance - Run EXPLAIN ANALYZE on slow queries
  4. Apply best practices - Index strategy, VACUUM, partitioning as needed

Quick-Start Example: Table with Index and Query

-- Create a table with constraints
CREATE TABLE orders (
    id          BIGSERIAL PRIMARY KEY,
    customer_id BIGINT NOT NULL REFERENCES customers(id),
    status      TEXT NOT NULL DEFAULT 'pending' CHECK (status IN ('pending','shipped','delivered')),
    total       NUMERIC(10,2) NOT NULL,
    metadata    JSONB DEFAULT '{}',
    created_at  TIMESTAMPTZ NOT NULL DEFAULT now()
);

-- Create an index for common queries
CREATE INDEX idx_orders_customer_status ON orders (customer_id, status);

-- Query with CTE and window function
WITH monthly_totals AS (
    SELECT customer_id,
           date_trunc('month', created_at) AS month,
           SUM(total) AS month_total
    FROM orders
    WHERE status = 'delivered'
    GROUP BY customer_id, date_trunc('month', created_at)
)
SELECT customer_id, month, month_total,
       LAG(month_total) OVER (PARTITION BY customer_id ORDER BY month) AS prev_month
FROM monthly_totals;

Performance Analysis

EXPLAIN (ANALYZE, BUFFERS, FORMAT TEXT)
SELECT * FROM orders WHERE customer_id = 42 AND status = 'pending';

Best Practices

  1. Index strategically - Create indexes for WHERE/JOIN columns; use partial indexes for filtered queries
  2. Run VACUUM regularly - Prevent table bloat; configure autovacuum thresholds for high-write tables
  3. Partition large tables - Use range partitioning on timestamp columns for tables over 100M rows
  4. Use ROLE/GRANT - Grant least privilege; never use superuser for application connections
  5. Backup and verify - Use pg_dump or WAL archiving; test restore procedures regularly

Keywords

postgresql, postgres, psql, SQL, JSONB, full-text search, CTE, window function, 关系型数据库, 索引, 复制, EXPLAIN ANALYZE, pg_dump, partitioning