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Golang Database Patterns

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bobmatnyc·vlatest·backend·MIT

Helps with Go, database, patterns as part of developing backend services and APIs workflows.

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  1. 1

    Run this in your project

    terminal
    $ npx skills add bobmatnyc/claude-mpm-skills --skill golang-database-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

bobmatnyc

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Live repository

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Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

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    Scanned bobmatnyc/claude-mpm-skills at 718070a7d6.

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Commit
718070a7d6
Manifest
toolchains/golang/golang-database-patterns/SKILL.md
Scanned
2 files, 1,249 lines
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About this skill

What it does

This skill provides guidance and support for developing backend services and APIs using Go and interacting with SQL databases. It covers various database integration techniques, from the standard database/sql package to specialized libraries like sqlx and pgx, along with patterns such as the Repository Pattern and schema migrations. The goal is to help developers build robust, performant, and testable data access layers.

When to use it

This skill is helpful when:

  • Building CRUD (Create, Read, Update, Delete) operations with type safety in Go.
  • Implementing data access layers for web services.
  • Managing database schema evolution across different environments.
  • Optimizing database connection pooling for production deployments.
  • Testing database code using mock repositories.
  • Migrating from ORMs (Object-Relational Mappers) to a more SQL-first approach.

Key capabilities

  • database/sql: The standard Go interface for interacting with any SQL database.
  • sqlx: Provides convenience methods like struct scanning and named queries, reducing boilerplate code.
  • pgx: A PostgreSQL-native driver optimized for maximum performance.
  • Repository Pattern: Enables testability through interface-based data access.
  • Migrations: Manages database schema versioning using golang-migrate.
  • Connection Pooling: Provides production-ready connection management to improve efficiency and resource utilization.
  • Transaction Safety: Handles transactions in a context-aware manner.

Example prompts

  • "Show me an example of how to use the Repository Pattern with Go and database/sql."
  • "What are the benefits of using pgx over lib/pq for PostgreSQL?"
  • "How do I configure connection pooling when using database/sql?"

Tips & gotchas

  • Consider your specific database needs when choosing between database/sql, sqlx, and pgx. pgx is only suitable for PostgreSQL.
  • For maximum performance with PostgreSQL, pgx can be significantly faster (30-50%) than the standard lib/pq driver.
  • Familiarize yourself with connection pooling settings (SetMaxOpenConns, SetMaxIdleConns, etc.) to optimize resource usage in production environments.