By koriym
Claude Skills for SQL quality analysis and optimization. Includes performance checking, automated fixes, and parameter generation.
Generate parameter bindings for SQL files by analyzing database schema and extracting SQL placeholders. Queries the live database for table structures, matches placeholders to column types, and generates appropriate test values based on column patterns (IDs, dates, status enums, etc).
Analyze SQL files for performance issues like full table scans, ineffective joins, and inefficient queries. Reports findings in a CI-friendly format without modifying files. Detects critical issues (FullTableScan, IneffectiveJoin) and warnings (IneffectiveSort, TemporaryTableGrouping).
Automatically fix SQL performance issues with step-by-step measurement. Rewrites problematic SQL patterns (functions on columns, implicit conversions), creates indexes, measures their impact, and rolls back ineffective indexes. Reports improvements at each step with cost reduction percentages.
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npx claudepluginhub koriym/koriym.sqlquality --plugin sql-qualityPHP debugging and analysis tools using Xdebug. Trace execution, step debug, profile performance, and analyze code coverage.
Detect spaghetti code using PHPMD metrics. Measures CBO, CC, NPath to identify refactoring targets.
Analyze and optimize SQL queries for better performance, suggesting indexes, query rewrites, and execution plan improvements
SQL query optimization and execution plan analysis
SQL query optimization for PostgreSQL/MySQL with indexing, EXPLAIN analysis. Use for slow queries, N+1 problems, missing indexes, or encountering sequential scans, OFFSET pagination, temp table spills, inefficient JOINs.
DevsForge SQL query formatter with beautification, syntax highlighting, optimization hints, and multiple dialect support
Database architecture and SQL optimization with PostgreSQL expertise
Schema design, query optimization, migrations, indexing, transactions, data integrity, and connection pooling.