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skills/sql-query-optimizer/SKILL.md
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skills/sql-query-optimizer/SKILL.md
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---
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name: optimizing-sql-queries
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description: |
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This skill analyzes and optimizes SQL queries for improved performance. It identifies potential bottlenecks, suggests optimal indexes, and proposes query rewrites. Use this when the user mentions "optimize SQL query", "improve SQL performance", "SQL query optimization", "slow SQL query", or asks for help with "SQL indexing". The skill helps enhance database efficiency by analyzing query structure, recommending indexes, and reviewing execution plans.
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allowed-tools: Read, Write, Edit, Grep, Glob, Bash
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version: 1.0.0
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---
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## Overview
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This skill empowers Claude to analyze SQL queries, identify performance bottlenecks, and suggest optimizations such as index creation or query rewriting. It leverages the sql-query-optimizer plugin to provide actionable recommendations for improving database performance.
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## How It Works
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1. **Query Input**: The user provides an SQL query to be optimized.
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2. **Analysis**: The plugin analyzes the query structure, potential indexing issues, and execution plan (if available).
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3. **Recommendations**: The plugin generates optimization suggestions, including index recommendations and query rewrites.
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## When to Use This Skill
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This skill activates when you need to:
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- Optimize a slow-running SQL query.
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- Identify missing or unused indexes in a database.
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- Improve the performance of a database application.
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## Examples
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### Example 1: Optimizing a Slow Query
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User request: "Optimize this SQL query: SELECT * FROM orders WHERE customer_id = 123 AND order_date < '2023-01-01';"
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The skill will:
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1. Analyze the provided SQL query.
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2. Suggest creating an index on customer_id and order_date columns to improve query performance.
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### Example 2: Finding Indexing Opportunities
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User request: "I need help optimizing a query that filters on product_category and price. Can you suggest any indexes?"
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The skill will:
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1. Analyze a hypothetical query based on the user's description.
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2. Recommend a composite index on (product_category, price) to speed up filtering.
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## Best Practices
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- **Provide Full Queries**: Include the complete SQL query for accurate analysis.
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- **Include EXPLAIN Output**: Providing the output of `EXPLAIN` can help the optimizer identify bottlenecks more effectively.
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- **Test Recommendations**: Always test the suggested optimizations in a staging environment before applying them to production.
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## Integration
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This skill can be used in conjunction with other database management plugins to automate index creation and query rewriting based on the optimizer's suggestions.
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skills/sql-query-optimizer/assets/README.md
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# Assets
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Bundled resources for sql-query-optimizer skill
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- [ ] example_queries.sql: A collection of example SQL queries for testing and demonstration.
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- [ ] query_optimization_report_template.md: A template for generating query optimization reports.
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skills/sql-query-optimizer/references/README.md
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# References
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Bundled resources for sql-query-optimizer skill
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- [ ] sql_optimization_best_practices.md: A comprehensive guide to SQL optimization best practices.
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- [ ] postgresql_indexing.md: Detailed information on PostgreSQL indexing strategies.
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- [ ] mysql_indexing.md: Detailed information on MySQL indexing strategies.
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- [ ] sqlite_indexing.md: Detailed information on SQLite indexing strategies.
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- [ ] sql_execution_plan_analysis.md: A guide to analyzing SQL execution plans.
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- [ ] common_sql_anti_patterns.md: A list of common SQL anti-patterns and how to avoid them.
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skills/sql-query-optimizer/scripts/README.md
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skills/sql-query-optimizer/scripts/README.md
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# Scripts
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Bundled resources for sql-query-optimizer skill
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- [ ] analyze_query.py: Analyzes the SQL query and identifies potential bottlenecks.
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- [ ] recommend_indexes.py: Suggests optimal indexes for the given query.
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- [ ] rewrite_query.py: Proposes optimized query rewrites.
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- [ ] explain_query.sh: Executes the EXPLAIN command and formats the output for analysis.
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