Guides for configuring Prisma with different database providers (PostgreSQL, MySQL, SQLite, MongoDB, etc.). Use when setting up a new project, changing databases, or troubleshooting connection issues. Triggers on "configure postgres", "connect to mysql", "setup mongodb", "sqlite setup".
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases.
Expert rules for schema design, indexing, and performance in MongoDB (NoSQL).
Database design, optimization, and management for SQL and NoSQL databases. Covers schema design, indexing, query optimization, migrations, and database best practices. Use when designing database schemas, optimizing queries, troubleshooting database performance, or implementing data models.
SQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, and SQL Server. Focus on data integrity and rollback plans.
Design and optimize database schemas for SQL and NoSQL databases. Use when creating new databases, designing tables, defining relationships, indexing strategies, or database migrations. Handles PostgreSQL, MySQL, MongoDB, normalization, and performance optimization.
Provides expert-level database design with schema analysis, index optimization, and migration generation. Supports PostgreSQL, MySQL, MongoDB, and DynamoDB. Use when designing schemas, optimizing queries, planning migrations, or analyzing database performance.
Migration-ready database schema design with normalization and indexing strategies
MySQL performance optimization and best practices. Use this skill when writing, reviewing, or optimizing MySQL queries, schema designs, or database configurations.
Master MongoDB schema design and data modeling patterns. Learn embedding vs referencing, relationships, normalization, and schema evolution. Use when designing databases, normalizing data, or optimizing queries.
Define database schemas in JSON and generate migration plans. Use this skill when creating or modifying database models, defining tables with columns, constraints, and ENUM types for Vespertide-based projects.
Helps you work with Palantir Foundry using the pltr CLI. Use this when you need to query datasets, manage orchestration builds, work with ontologies, run SQL queries, manage folders/spaces/projects, copy datasets, or perform admin operations in Foundry. Triggers: Foundry, pltr, dataset, SQL query, ontology, build, schedule, RID.
Expert-level SQL database design, querying, optimization, and administration across PostgreSQL, MySQL, and SQL Server
Design database schemas for Grey Haven multi-tenant SaaS - SQLModel models, Drizzle schema, multi-tenant isolation with tenant_id and RLS, timestamp fields, foreign keys, indexes, migrations, and relationships. Use when creating database tables.
Expert guidance for SQLAlchemy 2.0 + Pydantic + PostgreSQL. Use when setting up database layers, defining models, creating migrations, or any database-related work. Automatically activated for DB tasks.
Guide safe database and code migrations with zero-downtime strategies.
' Layer 3: Temporal Versioning and ACSet Schema Generation for DuckDB'
Create, manage, and apply database migrations using Doctrine ORM (MySQL for this service). Use when modifying entities, adding fields, managing database schema changes, creating repositories, or troubleshooting database issues.
Detect N+1 queries, analyze slow queries with EXPLAIN, identify missing indexes, and ensure safe online index migrations for MySQL/MariaDB. Use when optimizing query performance, preventing performance regressions, or debugging slow endpoints. Complements database-migrations skill which covers index creation syntax.
Expert-level Elasticsearch, search, ELK stack, and full-text search
Expert-level Redis for caching, pub/sub, data structures, and high-performance applications
PostgreSQL + Redis database design patterns. Use for data modeling, indexing, caching strategies. Covers JSONB, tiered storage, cache consistency.
Database schema design, optimization, and migration patterns for PostgreSQL, MySQL, and NoSQL databases. Use for designing schemas, writing migrations, or optimizing queries.
