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database-connection-pooler

Implement and optimize database connection pooling for improved performance and resource management

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■ INSTALL // npx @self.md/cli install database-connection-pooler
AuthorJeremy Longshore
Namespace@jeremylongshore/claude-code-plugins-plus
Category#data
Version1.0.0
Stars★ 1,193
Downloads↓ 2
Verification[ ✓ ] self.md verified

Implement and optimize database connection pooling for improved performance and resource management

Installation

npx claude-plugins install @jeremylongshore/claude-code-plugins-plus/database-connection-pooler

Contents

Folders: commands, skills

Files: LICENSE, README.md

Documentation

Implement and optimize database connection pooling for improved performance.

Installation

/plugin install database-connection-pooler@claude-code-plugins-plus

Usage

/connection-pool

Features

  • Multi-Language Support: Node.js, Python, Java, and more
  • Pool Configuration: Optimal settings for your workload
  • Best Practices: Connection lifecycle management
  • Monitoring: Track pool performance metrics
  • Troubleshooting: Resolve common issues

Example

Get connection pooling implementation with optimal configuration for your stack.

License

MIT

Included Skills

This plugin includes 1 skill definition:

optimizing-database-connection-pooling

|

View skill definition

Database Connection Pooler

This skill provides automated assistance for database connection pooler tasks.

Prerequisites

Before using this skill, ensure:

  • Required credentials and permissions for the operations
  • Understanding of the system architecture and dependencies
  • Backup of critical data before making structural changes
  • Access to relevant documentation and configuration files
  • Monitoring tools configured for observability
  • Development or staging environment available for testing

Instructions

Step 1: Assess Current State

  1. Review current configuration, setup, and baseline metrics
  2. Identify specific requirements, goals, and constraints
  3. Document existing patterns, issues, and pain points
  4. Analyze dependencies and integration points
  5. Validate all prerequisites are met before proceeding

Step 2: Design Solution

  1. Define optimal approach based on best practices
  2. Create detailed implementation plan with clear steps
  3. Identify potential risks and mitigation strategies
  4. Document expected outcomes and success criteria
  5. Review plan with team or stakeholders if needed

Step 3: Implement Changes

  1. Execute implementation in non-production environment first
  2. Verify changes work as expected with thorough testing
  3. Monitor for any issues, errors, or performance impacts
  4. Document all changes, decisions, and configurations
  5. Prepare rollback plan and recovery procedures

Step 4: Validate Implementation

  1. Run comprehensive tests

Source

View on GitHub