Experiment design partner
Translate a hypothesis into an interpretable test with metrics and guardrails.
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Translate a hypothesis into an interpretable test with metrics and guardrails.
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.
Execute use when you need to work with query optimization.
Configure ClickHouse enterprise RBAC \u2014 SQL-based users, roles,\
Collect ClickHouse diagnostic data \u2014 system tables, query logs,\
Run PostgreSQL queries and meta-commands via CLI
Optimize ClickHouse Cloud costs — compute scaling, storage tiering, compression, and query efficiency for lower bills. Use when analyzing ClickHouse Cloud bills, reducing storage costs, or optimizing compute utilization. Trigger: "clickhouse cost", "clickhouse billing", "reduce clickhouse spend",...
Optimize ClickHouse query performance with indexing, projections, settings tuning, and query analysis using system tables. Use when queries are slow, investigating performance bottlenecks, or tuning ClickHouse server settings. Trigger: "clickhouse performance", "optimize clickhouse query", "click...
Execute SELECT queries on 30+ databases (SQLite, SQL Server, MySQL, PostgreSQL, Oracle, etc.) using DbCli. Returns data in JSON, table, or CSV format. Use when user needs to query databases, read data, or execute SELECT statements.
Advanced PostgreSQL patterns for performance optimization, complex queries, indexing strategies, and database design
Enables users to list all tables and view their structures in various databases using the DbCli CLI tool.
Execute use when you need to work with query optimization.
Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.
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,...
Document database schemas, ERD diagrams, table relationships, indexes, and constraints. Use when documenting database schema, creating ERD diagrams, or writing table documentation.
SQL Server and Azure SQL Database with T-SQL, indexes, stored procedures, and performance optimization patterns. USE WHEN: user mentions "SQL Server", "T-SQL", "MSSQL", "Azure SQL", "SQL Server indexes", "stored procedures", "SQL Server performance" DO NOT USE FOR: PostgreSQL - use `postgresql`...
PostgreSQL deep-dive: EXPLAIN ANALYZE interpretation, index types (B-tree, GIN, GiST, BRIN), partial/covering/composite indexes, pg_stat_statements slow query analysis, Row Level Security, window functions, CTEs, advisory locks, LISTEN/NOTIFY, connection pooling with PgBouncer. Use when optimizin...
Production-grade SQL optimization for OLTP systems: EXPLAIN/plan analysis, balanced indexing, schema and query design, migrations, backup/recovery, HA, security, and safe performance tuning across PostgreSQL, MySQL, SQL Server, Oracle, SQLite.
Database schema design and data modeling patterns including normalization principles (1NF-5NF), denormalization trade-offs, entity relationship design, indexing strategies, schema evolution, and domain-driven design patterns. Activates when designing new database schemas, refactoring data models,...
Comprehensive PostgreSQL-specific table design reference covering data types, indexing, constraints, performance patterns, and advanced features
SQL Server index design and optimization strategies. Use this skill when: (1) User needs help designing indexes, (2) User asks about clustered vs nonclustered indexes, (3) User wants to optimize columnstore indexes, (4) User needs filtered or covering indexes, (5) User asks about index maintenanc...
Analyze and optimize database schemas, identify performance issues, and suggest improvements. Use when working with database structure, indexes, or query performance.
Complete T-SQL function reference for SQL Server and Azure SQL Database. PROACTIVELY activate for: (1) string functions (CONCAT_WS, STRING_SPLIT, STRING_AGG, TRIM, REPLACE, LEFT/RIGHT/SUBSTRING), (2) date/time functions (DATEADD, DATEDIFF, FORMAT, DATETRUNC, AT TIME ZONE), (3) math and conversion...
This skill should be used when the user asks to optimize slow T-SQL queries, fix SQL Server performance regressions, improve SARGability, rewrite joins, prove whether joins can be removed, compare temp-table data types, select rewrite templates, diagnose parameter sniffing, evaluate query hints, ...
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