Database design patterns, SQL best practices, ORM usage (Prisma/Drizzle), and migration strategies. Use when designing schemas, writing queries, or optimizing database operations.
Database access patterns for performance. Separate read/write models, avoid N+1 queries, use AsNoTracking, apply row limits, and never do application-side joins.
Improve database query performance through indexing, query optimization, and execution plan analysis. Reduce response times and database load.
Analyse et optimise des requêtes SQL ou NoSQL pour améliorer les performances. À utiliser quand l'utilisateur a une requête lente ou veut optimiser sa base de données.
Sous-agent spécialisé dans les requêtes base de données — SQL generation, exécution et analyse de résultats.
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.
Resets production database with full schema drop. EXTREME CAUTION - deletes all production data. SINGLE SOURCE OF TRUTH for production database reset automation.
Resets staging database with full schema drop. Use for schema changes or migrations. SINGLE SOURCE OF TRUTH for staging database reset automation.
Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and p — from…
Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and p — from…
Document database schemas, ERD diagrams, table relationships, indexes, and constraints. Use when documenting database schema, creating ERD diagrams, or writing table documentation.
VaultCPA database schema reference with 50+ Prisma models, relationships, and query patterns. Use when working with database models, designing features, or understanding data…
Validates database schemas, Kysely types, and migrations. Use when checking schema correctness or migration safety.
Database Schema Visualizer - Auto-activating skill for Visual Content. Triggers on: database schema visualizer, database schema visualizer Part of the Visual Content skill…
Create robust, error-proof Prisma seed scripts with comprehensive error handling and validation.
Generate realistic test data and database seed scripts using Faker libraries. Use when populating development databases, creating test fixtures, generating demo data with…
Configure and operate TinyDB for JSON-based document storage. Use when setting up databases, creating queries, or managing data persistence.
Optimisation et administration SQL Server. Se déclenche avec "SQL Server", "SSMS", "execution plan", "index SQL Server", "Always On", "tempdb — from general/general-misc
Automate database synchronization, replication, migration, and cross-platform data integration
Быстрый просмотр структуры БД — таблицы, колонки, превью строк, схемы. Без генерации SQL.
Expert in creating database diagrams and visual representations. Use when generating ERDs, schema diagrams, or visualizing database relationships with Mermaid.js.
Database workflows - schema design, migrations, query optimization. Use when designing schemas, reviewing migrations, optimizing queries, preventing N+1 problems, or working with…
SQL, databases, ORMs, and data modeling. Activated when Claude works with database code, .sql files, Prisma schemas, or database-related npm packages.
Shared reference for the databases-data cluster: the store-selection model (OLTP vs OLAP vs in-memory vs ORM-managed), and the conventions every spoke shares — index choice, ID…
DATABASICS integration. Manage data, records, and automate workflows. Use when the user wants to interact with DATABASICS data.
Use when working with ES/NQ futures market data, before calling any Databento API - follow mandatory four-step workflow (cost check, availability check, fetch, validate); prevents…
Databowl integration. Manage Recordses. Use when the user wants to interact with Databowl data.
Databox integration. Manage data, records, and automate workflows. Use when the user wants to interact with Databox data.
Databricks integration. Manage Workspaces. Use when the user wants to interact with Databricks data.
Guide for authenticating with Databricks Apps using cookie-based auth when OAuth/PAT tokens don't work. Use when connecting to Databricks Apps with User Authorization enabled.
Discover, inspect, start, stop, and monitor Databricks clusters using dbx.py. Use before any skill that needs a running cluster.
Configure Databricks profile and authenticate for Databricks Connect, Databricks CLI, and Databricks SDK.
Optimize Databricks costs with cluster policies, spot instances, and monitoring. Use when reducing cloud spend, implementing cost controls, or analyzing Databricks usage costs.
Implement Delta Lake data management patterns including GDPR, PII handling, and data lifecycle. Use when implementing data retention, handling GDPR requests, or managing data…
Databricks documentation reference. Use as a lookup resource alongside other skills and MCP tools for comprehensive guidance.
Configure Databricks enterprise SSO, Unity Catalog RBAC, and organization management. Use when implementing SSO integration, configuring role-based permissions, or setting up…
Execute Databricks incident response procedures with triage, mitigation, and postmortem. Use when responding to Databricks-related outages, investigating job failures, or running…
Install and configure Databricks CLI and SDK authentication. Use when setting up a new Databricks integration, configuring tokens, or initializing Databricks in your project.
Run Databricks jobs and notebooks using dbx.py -- submit, wait for completion, get output, and manage runs. Covers both one-off runs and existing job triggers.
Configure Databricks local development with Databricks Connect, Asset Bundles, and IDE. Use when setting up a local dev environment, configuring test workflows, or establishing a…
Execute comprehensive platform migrations to Databricks from legacy systems. Use when migrating from on-premises Hadoop, other cloud platforms, or legacy data warehouses to…
Create and manage Databricks notebooks programmatically. Use when generating ingestion code, creating ETL notebooks, executing Databricks workflows, or when user mentions notebook…
Set up comprehensive observability for Databricks with metrics, traces, and alerts. Use when implementing monitoring for Databricks jobs, setting up dashboards, or configuring…
Optimize Databricks cluster and query performance. Use when jobs are running slowly, optimizing Spark configurations, or improving Delta Lake query performance.
Execute SQL queries against Databricks using the DBSQL MCP server. Use when querying Unity Catalog tables, running SQL analytics, exploring Databricks data, or when user mentions…
Augments Databricks_MCP_Agent with operational incident management, audit logging, escalation, and change documentation for on-call team operations.
Generate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from…
Generate realistic synthetic data using Faker and Spark, with non-linear distributions, integrity constraints, and save to Databricks.
Create and populate Databricks Delta tables via interactive REPL or notebook submission. Uses dbx.py for operations and PySpark for data transforms.
Add and update column descriptions and table comments in Unity Catalog. Use when documenting tables, onboarding new datasets, or enforcing metadata standards.
Explore Databricks Unity Catalog tables -- list, describe, preview data, and profile columns. Uses dbx.py for metadata and the interactive REPL for data queries.
Unity Catalog system tables for lineage, audit logs, billing, compute, jobs, and query history. Use when querying system.access.audit, system.access.table_lineage,…
Upgrade Databricks runtime versions and migrate between features. Use when upgrading DBR versions, migrating to Unity Catalog, or updating deprecated APIs and features.
Configure Databricks job notifications, webhooks, and event handling. Use when setting up Slack/Teams notifications, configuring alerts, or integrating Databricks events with…
Dataclass patterns including frozen dataclasses, slots, immutability, and value objects. Activated when designing data classes or value types.
Run the Data Contract CLI (`datacontract test`) against ODCS contracts in the project to verify the live data still conforms — schema, quality rules, and freshness.
通过 CLI 查询 Datadata — 运行临时 SQL、检查数据源元数据、列表和描述表、下载 NDJSON/CSV 格式结果。当用户提到 Datadata、想查询数据、探索数据源或表 schema、获取查询结果时使用此 skill。触发：Datadata、数据探索、SQL查询、表检查、执行结果。
为 Datadata 平台编写 DQL 数据处理脚本 — 基于 Starlark 的扩展脚本语言，支持 DataFrame/Series 操作、SQL 查询、HTTP 请求等。当用户需要编写数据转换、数据清洗、数据生成或自定义数据处理逻辑时使用此 skill。
Dataddo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Dataddo data.
Query logs, metrics, monitors, and dashboards from Datadog. Search logs, check alert status, and investigate incidents.