Database architecture and design specialist. Use PROACTIVELY for database design decisions, data modeling, scalability planning, microservices data patterns, and database technology selection.

Backup database before tests, migrations, or other database operations

Implement backup and restore strategies for disaster recovery. Use when creating backup plans, testing restore procedures, or setting up automated backups.

database-change-management

Database MCP server integration for PostgreSQL, MySQL, MongoDB

Configures and manages database connection pools, with a focus on SQLAlchemy. Use this skill for tasks involving connection pool configuration, sizing, lifecycle management, health checks, and monitoring. It provides specialized guidance for both traditional server-based databases and serverless databases like Neon and PlanetScale.

Database schema design, migrations, query optimization with SQL, Exposed ORM, Flyway. Use for database, migration, schema, sql, flyway tags. Provides migration patterns, validation commands, rollback strategies.

Specialized database operations for Chuukese language data including dictionary management, phrase collections, translation pairs, and linguistic metadata. Use when working with Chuukese language databases, managing translation data, or performing database operations on linguistic datasets.

Comprehensive database management workflow that orchestrates database architecture, schema design, performance optimization, and data governance. Handles everything from database design and implementation to performance tuning, backup strategies, and data migration.

World-class expert database master covering PostgreSQL, MySQL, MongoDB, Redis, and database architecture. Use when designing schemas, optimizing queries, planning migrations, implementing caching strategies, or solving complex database challenges at production scale.

Database schema migration patterns for Aurora MySQL including reconciliation migrations, idempotent operations, and MySQL-specific gotchas.

SQLite database migration patterns for SpecFlux. Use when creating new tables, modifying schema, adding indexes, or running migrations. Ensures reversible migrations with UP and DOWN sections.

Expert database optimizer specializing in modern performance

Resets local development database by deleting all data and restarting API container to trigger auto-seeding. SINGLE SOURCE OF TRUTH for dev database reset automation.

Test migrations, integrity, and query performance.

Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance. Use when testing data persistence, ensuring referential integrity, or validating database migrations.

Any time database-related activity is required.

Language-agnostic database best practices covering migrations, schema design, ORM patterns, query optimization, and testing strategies. Activate when working with database files, migrations, schema changes, SQL, ORM code, database tests, or when user mentions migrations, schema design, SQL optimization, NoSQL, database patterns, or connection pooling.

Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.

Kailash DataFlow - zero-config database framework with automatic model-to-node generation. Use when asking about 'database operations', 'DataFlow', 'database models', 'CRUD operations', 'bulk operations', 'database queries', 'database migrations', 'multi-tenancy', 'multi-instance', 'database transactions', 'PostgreSQL', 'MySQL', 'SQLite', 'MongoDB', 'pgvector', 'vector search', 'document database', 'RAG', 'semantic search', 'existing database', 'database performance', 'database deployment', 'database testing', or 'TDD with databases'. DataFlow is NOT an ORM - it generates 11 workflow nodes per SQL model, 8 nodes for MongoDB, and 3 nodes for vector operations.

Use when developing BigQuery Dataform transformations, SQLX files, source declarations, or troubleshooting pipelines - enforces TDD workflow (tests first), ALWAYS use ${ref()} never hardcoded table paths, comprehensive columns:{} documentation, safety practices (--schema-suffix dev, --dry-run), proper ref() syntax, .sqlx for new declarations, no schema config in operations/tests, and architecture patterns that prevent technical debt under time pressure

Generate evaluation datasets with adjustable difficulty levels from PDF documents for RAG system testing and benchmarking

Extracts key specifications from component datasheet PDFs for maker projects. Use when user shares a datasheet PDF URL, asks about component specs, needs pin assignments, I2C addresses, timing requirements, or register maps. Downloads and parses PDF to extract essentials. Complements datasheet-parser for quick lookups.

DAW-specific quirks, known issues, and workarounds for Logic Pro, Ableton Live, Pro Tools, Cubase, Reaper, FL Studio, Bitwig with format-specific requirements (AU/VST3/AAX). Use when troubleshooting DAW compatibility, fixing host-specific bugs, implementing DAW workarounds, passing auval validation, or debugging automation issues.

Especialista Sênior em MongoDB, Segurança de Dados, Migrations, Backup/Recovery e Data Integrity. Guardian dos dados do Super Cartola Manager com foco em operações seguras, auditoria de schemas, otimização de queries e gestão de lifecycle de dados. Use para migrations, limpeza, manutenção, snapshots, índices, validações e qualquer operação crítica com banco de dados.

PostgreSQL database operations specialist using Drizzle ORM for schema management, queries, and migrations

This skill should be used when seeding databases with realistic fake data for development, testing, or staging environments. Supports PostgreSQL, MySQL, SQLite, MongoDB with ORM-based seeding (SQLAlchemy, Django, Prisma) and Faker library for generating realistic test data. Use when the user needs to populate databases with sample data, create test fixtures, or set up development/staging environments with realistic data.

SQLite database management with Prisma ORM, type-safe queries, and Railway deployment with Litestream backup. This skill should be used when creating database schemas, writing migrations, managing SQLite on Railway volumes, or troubleshooting database issues.

DBOS durable execution patterns and CRITICAL constraints for ChainGraph executor. Use when working on workflows, steps, execution, or any DBOS-related code. Contains MUST-FOLLOW constraints about what can be called from workflows vs steps. Triggers: dbos, workflow, step, durable, execution, startWorkflow, writeStream, recv, send, runStep, atomic, checkpoint, WorkflowQueue, queue, cancelWorkflow, Promise.allSettled. (project)

dbt (data build tool) patterns for model organization, incremental strategies, and testing.

Complete guide for dbt data transformation including models, tests, documentation, incremental builds, macros, packages, and production workflows

PROACTIVE skill - STOP and invoke BEFORE writing dbt SQL. Validates models against coding conventions for staging, integration, and warehouse layers. Covers naming, SQL structure, field conventions, testing, and documentation. CRITICAL - When about to write .sql files in models/, invoke this skill first, write second. Supports project-specific convention overrides and sqlfluff integration.

dbt best practices for models, tests, documentation, and project organization.

Create dbt models following FF Analytics Kimball patterns and 2×2 stat model. This skill should be used when creating staging models, core facts/dimensions, or analytical marts. Guides through model creation with proper grain, tests, External Parquet configuration, and per-model YAML documentation using dbt 1.10+ syntax.

Comprehensive guide to dbt (data build tool) patterns, modeling best practices, testing strategies, and production workflows for modern data transformation

Transform AI agents into experts on dbt and Snowflake performance optimization, providing guidance

Provides expert-level assistance with dbt Semantic Layer, MetricFlow, semantic models, metrics, dimensions, entities, measures, and BI tool integrations. Use this skill when building semantic models, creating metrics (simple, ratio, cumulative, derived, conversion), debugging validation errors, or integrating with BI tools. Extracted from official dbt documentation and optimized for data practitioners.

ALWAYS USE when working with dbt models, SQL transformations, tests, snapshots, or macros. Use IMMEDIATELY when editing dbt_project.yml, profiles.yml, or creating SQL models. MUST be loaded before any transform-layer work. Enforces dbt owns SQL principle - never parse, validate, or transform SQL in Python.

Transform AI agents into experts on dbt testing strategies, providing guidance on implementing

Expert in D-Bus IPC (Inter-Process Communication) on Linux systems. Specializes in secure service communication, method calls, signal handling, and system integration. HIGH-RISK skill due to system service access and privileged operations.

Disk cloning, benchmarking, and file conversion tool with progress monitoring options.

Strategic and Tactical expertise in Gravito DDD. Trigger this for complex domains requiring Bounded Contexts, Aggregates, and Event-Driven architecture.

Créer des tests exhaustifs pour les bounded contexts DDD suivant une approche TDD (Test-Driven Development) avec des standards de coverage stricts.

Conduct authorized denial of service testing to assess network resilience and configure intrusion detection systems (IDS) to detect and alert on various DoS attack patterns. This skill covers volume-b

Extract, filter, annotate, and export differential expression results from DESeq2 or edgeR. Use for identifying significant genes, applying multiple testing corrections, adding gene annotations, and preparing results for downstream analysis. Use when filtering and exporting DE analysis results.

Store failed jobs for replay or manual inspection. Track failure patterns, enable manual intervention, and prevent data loss from processing errors.

End-to-end associate workflow with time-boxed gates: thesis -> sourcing -> meetings -> diligence -> memo, ending with either IC-ready memo or explicit kill decision. Use when you need to run the full pipeline for a sector or a specific deal.

Wind/Wall/Door multi-perspective debate orchestration using debate-hall-mcp tools. Use when facilitating structured debates, architectural decisions, or multi-perspective analysis.

Generates three distinct expert challenger personas for multi-perspective debate. Each persona critiques from a different angle.

Spin up 2-3 expert personas to debate any topic from different angles. Structure: Opening statements, rebuttals, cross-examination, closing arguments.