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Found 1,083 Skills
Provides comprehensive guidance for PostgreSQL database including SQL syntax, advanced features, JSON support, full-text search, and performance tuning. Use when the user asks about PostgreSQL, needs to work with PostgreSQL features, write complex queries, or optimize PostgreSQL databases.
Generate and optimize SQL queries for data retrieval and analysis
Write PL/pgSQL - functions, procedures, triggers, error handling
PostgreSQL 数据库管理
Use when writing, generating, or optimizing SQL for CockroachDB, designing CockroachDB schemas, or when the user asks about CockroachDB-specific SQL patterns, type mappings, and distributed database best practices. Also use when encountering CockroachDB anti-patterns like missing primary keys, sequential ID hotspots, or incorrect type usage.
Deploy Django on Google App Engine Standard with Cloud SQL PostgreSQL. Covers Unix socket connections, Cloud SQL Auth Proxy for local dev, Gunicorn configuration, and production-ready settings. Use when: deploying Django to App Engine, configuring Cloud SQL PostgreSQL, setting up Unix socket connections, or troubleshooting "No such file or directory", "connection refused", or "FATAL: password authentication failed".
Expert-level PostgreSQL database administration, advanced queries, performance tuning, and production operations
This skill provides PostgreSQL-specific patterns for database design, optimization, and transaction management
PostgreSQL 16 database documentation. Use for SQL queries, indexes, transactions, JSON operations, full-text search, and performance tuning.
PostgreSQL database design, migration, and performance optimization best practices. This skill should be used when writing, reviewing, or refactoring database schemas, migrations, or query patterns. Triggers on tasks involving PostgreSQL databases, schema design, migration optimization, or data modeling.
Master PostgreSQL SQL fundamentals - data types, tables, constraints, schema design
In-process ClickHouse SQL engine for Python — run ClickHouse SQL queries directly on local files, remote databases, and cloud storage without a server. Use when the user wants to write SQL queries against Parquet/CSV/ JSON files, use ClickHouse table functions (mysql(), s3(), postgresql(), iceberg(), deltaLake() etc.), build stateful analytical pipelines with Session, use parametrized queries, window functions, or other advanced ClickHouse SQL features. Also use when the user explicitly mentions chdb.query(), ClickHouse SQL syntax, or wants cross-source SQL joins. Do NOT use for pandas-style DataFrame operations — use chdb-datastore instead.