linstor-migration
LINSTOR/DRBD マルチリージョン VM マイグレーション。ライブマイグレーション、コールドマイグレーション、リージョン廃止・追加を行う。
cortex-consolidate
Run memory maintenance — decay old memories, compress stale content, consolidate episodic memories into semantic knowledge, and run sleep-like replay. Use when the user says 'clean up memories', 'consolidate', 'run maintenance', 'compress old memories', 'memory cleanup', or periodically to keep the memory system healthy. Also use after importing many memories or at the end of a long session.
db-migration
Create, run, or revert TypeORM database migrations. Use when modifying entities, adding columns, creating tables, or troubleshooting database schema issues.
redis-best-practices
Redis best practices for caching, data structures, and in-memory data architecture
create-repository
Create repository adapter with MongoDB schema following the ports & adapters pattern. Use when adding persistence for domain entities.
magento-indexing-caching
Speed up Magento by managing indexers correctly, configuring Varnish full-page cache, and using Redis for session and object caching
qdrant
Qdrant vector database: collections, points, payload filtering, indexing, quantization, snapshots, and Docker/Kubernetes deployment. Use when managing Qdrant collections, performing vector searches with payload filters, configuring HNSW indexes or quantization, or deploying Qdrant clusters. Keywords: Qdrant, vector database, HNSW, quantization, semantic search.
clickhouse-query-optimization
20+ optimization rules for ClickHouse queries. Load when writing queries, debugging slow queries, fixing memory errors, or optimizing JOINs. Achieves 10-100x faster queries, 90% less memory usage.
database-review
PostgreSQL database specialist for query optimization, schema design, security, and performance. Use when writing SQL, creating migrations, or troubleshooting database performance.
postgres-patterns
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
postgres-patterns
基于Supabase最佳实践的PostgreSQL数据库模式，用于查询优化、架构设计、索引和安全。
supabase-postgres
PostgreSQL best practices for Supabase. Use when writing queries, designing schemas, or optimizing database performance.
data-design
Design data layer across PostgreSQL, MongoDB, Elasticsearch, and Typesense. Covers schema design, indexing, migrations, query patterns, consistency, and cross-store sync. Triggers: "data design", "database design", "schema design", "data model", "data architecture".
postgresql
PostgreSQL best practices: multi-tenancy with RLS, schema design, Alembic migrations, async SQLAlchemy, and query optimization. Use when designing multi-tenant tables with Row-Level Security, debugging tenant isolation, creating/changing Alembic migrations, or optimizing PostgreSQL queries. Keywords: PostgreSQL, RLS, Alembic, SQLAlchemy, multi-tenancy.
turso
Turso SQLite database. Covers encryption, sync, agent patterns. Use when working with Turso/libSQL embedded databases, configuring encryption-at-rest, setting up sync replication, or building agent-friendly database patterns. Keywords: Turso, libSQL, embedded, SQLite, encryption, sync.
database-operations-manager
AI-powered database optimization, query analysis, schema design validation, and connection management. Analyzes SQL/NoSQL queries, recommends indexes, validates schema design patterns, and optimizes database performance.
