Database Archival System
Process use when you need to archive historical database records to
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Process use when you need to archive historical database records to
Optimize slow database queries — analyze execution plans, add indexes, rewrite queries. Use when asked about "slow query", "optimize SQL", "query performance", or "explain this query".
Database reconnaissance — full inventory of schema, migrations, data volume, backups, connection pooling, and query patterns. Use when asked to "assess this database", "understand the schema", or "database health check".
Production readiness checklist for ClickHouse \u2014 server tuning,\
Production-ready patterns for @clickhouse/client \u2014 streaming inserts,\
Secure ClickHouse with user management, network restrictions, TLS, and
Process use when you need to work with connection management.
Process use when you need to work with database migrations.
Process use when you need to work with database partitioning.
Execute use when you need to work with query optimization.
Diagnose and fix the top 15 ClickHouse errors \u2014 query failures,\
Configure ClickHouse enterprise RBAC \u2014 SQL-based users, roles,\
Install @clickhouse/client and configure authentication to ClickHouse
Execute ClickHouse schema migrations \u2014 ALTER TABLE operations,\
Configure ClickHouse query concurrency, memory quotas, and connection
Upgrade ClickHouse server versions and @clickhouse/client SDK safely.
Manage the freshie ecosystem inventory database \u2014 a CMDB tracking\
Implement Snowflake reliability patterns: replication, failover, Time
Process this skill enables AI assistant to generate realistic test data
Collect ClickHouse diagnostic data \u2014 system tables, query logs,\
Use when building database queries with frappe.qb in Frappe v14-v16. Covers the PyPika-based query builder: SELECT, INSERT, UPDATE, DELETE, joins, aggregation, subqueries, cross-DB compatibility (MariaDB/PostgreSQL), and migration from raw SQL. Prevents SQL injection and DB-specific bugs. Keyword...
Azure Cosmos DB performance optimization and best practices guidelines for NoSQL, partitioning, queries, and SDK usage. Use when writing, reviewing, or refactoring code that interacts with Azure Cosmos DB, designing data models, optimizing queries, or implementing high-performance database operat...
Run PostgreSQL queries and meta-commands via CLI
Handle data lifecycle in ClickHouse — TTL expiration, data deletion (GDPR), column-level encryption, and audit logging with real ClickHouse SQL. Use when implementing data retention, GDPR deletion requests, or managing sensitive data in ClickHouse. Trigger: "clickhouse data retention", "clickhous...
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