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query-performance-analyzer

Analyze query performance with EXPLAIN plan interpretation, bottleneck identification, and optimization recommendations

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

Analyze query performance with EXPLAIN plan interpretation, bottleneck identification, and optimization recommendations

Installation

npx claude-plugins install @jeremylongshore/claude-code-plugins-plus/query-performance-analyzer

Contents

Folders: agents, skills

Files: LICENSE, README.md

Documentation

Analyze query performance with EXPLAIN plan interpretation and optimization recommendations.

Installation

/plugin install query-performance-analyzer@claude-code-plugins-plus

Usage

The performance agent activates when discussing query performance, EXPLAIN plans, or optimization.

Features

  • EXPLAIN Plan Analysis: Interpret execution plans
  • Bottleneck Detection: Identify performance issues
  • Index Recommendations: Suggest optimal indexes
  • Metrics Interpretation: Understand performance metrics
  • Cost Estimation: Predict query performance

Example

Paste your EXPLAIN output or slow query, and receive detailed analysis with specific optimization recommendations.

License

MIT

Included Skills

This plugin includes 1 skill definition:

analyzing-query-performance

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View skill definition

Query Performance Analyzer

This skill provides automated assistance for query performance analyzer 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