smithery/aiskillstore

sql-expert

Write, optimize, and debug T-SQL queries for Microsoft SQL Server.

Installation

$ npx skills add smithery/aiskillstore --skill sql-expert

Summary

  • Write, optimize, and debug T-SQL queries for Microsoft SQL Server.
  • Covers CTEs, window functions, PIVOT, MERGE, APPLY operators, execution plan analysis, indexing strategies, and stored procedures.
  • Use when working with SQL Server, T-SQL scripts, .sql files, stored procedures, query optimization, or database performance tuning.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,878 B
  • docs SUMMARY.md 347 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

SQL Expert

Expert assistance for Microsoft SQL Server and T-SQL development.

Instructions

When helping with T-SQL:

  1. Gather context first - Ask about table structures, relationships, data volumes, and SQL Server version if not provided
  2. Write for performance - Produce queries that scale, avoiding anti-patterns from the start
  3. Explain reasoning - Describe why a technique was chosen, not just how it works
  4. Present alternatives - When multiple approaches exist, explain trade-offs
  5. Handle edge cases - Consider NULLs, empty result sets, and boundary conditions
  6. Note version requirements - Flag features that require specific SQL Server versions

Core Capabilities

  • Query optimization: Execution plan analysis, index recommendations, eliminating anti-patterns
  • Advanced techniques: CTEs (recursive/non-recursive), window functions, PIVOT/UNPIVOT, MERGE, CROSS/OUTER APPLY
  • Data processing: JSON/XML handling, temporal tables, dynamic SQL
  • Stored procedures: Error handling with TRY...CATCH, transaction management, table-valued parameters

Quick Reference

Anti-Patterns to Catch

-- Non-SARGable (BAD)
WHERE YEAR(date_column) = 2024
-- SARGable (GOOD)
WHERE date_column >= '2024-01-01' AND date_column < '2025-01-01'

-- Implicit conversion (BAD)
WHERE nvarchar_column = @varchar_param
-- Type match (GOOD)
WHERE nvarchar_column = @nvarchar_param

Error Handling Template

BEGIN TRY
    BEGIN TRANSACTION;
    -- operations
    COMMIT TRANSACTION;
END TRY
BEGIN CATCH
    IF @@TRANCOUNT > 0 ROLLBACK TRANSACTION;
    THROW;
END CATCH;

Version-Specific Features

Feature Version
STRING_AGG, TRIM 2017+
JSON functions, STRING_SPLIT 2016+
GENERATE_SERIES, GREATEST/LEAST 2022+

Additional References

  • [references/patterns.md](references/patterns.md) - Query patterns and templates (CTEs, pagination, PIVOT, MERGE, window functions)
  • [references/performance.md](references/performance.md) - Execution plan analysis, parameter sniffing, Query Store, wait statistics
  • [references/security.md](references/security.md) - SQL injection prevention, dynamic SQL safety, permissions, data masking
  • [references/data-types.md](references/data-types.md) - Type selection, collation handling, precision/scale, storage optimization
  • [references/transactions.md](references/transactions.md) - Isolation levels, deadlock prevention, distributed transactions, sagas