Database Test Helper - Auto-activating skill for Test Automation. Triggers on: database test helper, database test helper Part of the Test Automation skill category.
Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance.
Upload estimation results to Supabase storage and register with Estimator API. Final phase of the estimation workflow.
Language-agnostic database best practices covering migrations, schema design, ORM patterns, query optimization, and testing strategies.
Master database design (SQL, NoSQL), system architecture, API design (REST, GraphQL), and building scalable systems.
MongoDB and PostgreSQL database administration. Databases: MongoDB (document store, aggregation, Atlas), PostgreSQL (relational, SQL, psql).
Route a database/data task to the right skill among the data-layer specialists — PostgreSQL, MySQL/MariaDB, the Prisma ORM, Redis, ClickHouse analytics, cross-engine migrations,…
Design schemas, write queries for MongoDB and PostgreSQL. Use for database design, SQL/NoSQL queries, aggregation pipelines, indexes, migrations, replication, performance…
RDBMS access patterns for DuckDB, MySQL (keycloak), PostgreSQL (dw, x3rocs), SQL Server (sage1000, x3), and DBISAM (Exportmaster) using ODBC and native drivers
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin).
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin).
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin).
Modern deployment with Databricks Asset Bundles (DAB), supporting multi-environment configurations and CI/CD integration.
Fix the deploy-time foot-guns of Databricks Asset Bundles (DAB) and the infrastructure operations around them: the bundle-bind gap for UC catalogs and external locations, the…
Configure Databricks CI/CD integration with GitHub Actions and Asset Bundles. Use when setting up automated testing, configuring CI pipelines, or integrating Databricks…
Diagnose and fix Databricks common errors and exceptions. Use when encountering Databricks errors, debugging failed jobs, or troubleshooting cluster and notebook issues.
Execute Databricks primary workflow: Delta Lake ETL pipelines. Use when building data ingestion pipelines, implementing medallion architecture, or creating Delta Lake…
Execute Databricks secondary workflow: MLflow model training and deployment. Use when building ML pipelines, training models, or deploying to production.
Collect Databricks debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information…
Deploy Databricks jobs and pipelines with Declarative Automation Bundles. Use when deploying jobs to different environments, managing deployments, or setting up deployment…
Transforms the assistant into a Senior Databricks Solutions Architect Agent that designs, implements, and reviews production-grade Databricks solutions following official best…
Create a minimal working Databricks example with cluster and notebook. Use when starting a new Databricks project, testing your setup, or learning basic Databricks patterns.
Interactive code execution on Databricks clusters via dbx.py. Provides a stateful Python REPL where variables persist across commands.
Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI. Use when creating data engineering jobs with notebooks, Python wheels, SQL, dbt, or pipelines.
Review and guide Databricks Lakehouse engineering on Azure: medallion architecture (bronze/silver/gold), Delta Lake pipelines, ADLS Gen2 access via Unity Catalog external…
Create a new Databricks MCP server project with FastAPI + FastMCP integration for building AI-powered Databricks workspace management tools.
Databricks Model Serving endpoint lifecycle and ops. Use when asked to: CRUD serving endpoints (CLI or MLflow Deployments client); configure traffic routing for A/B / canary…
Configure Databricks across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or…
Create Databricks Python notebooks, push to workspace, run on cluster, and verify outputs using dbx.py.
Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL.
Execute Databricks production deployment checklist and rollback procedures. Use when deploying Databricks jobs to production, preparing for launch, or implementing go-live…
Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.
Implement Databricks API rate limiting, backoff, and idempotency patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for…
Implement Databricks reference architecture with best-practice project layout. Use when designing new Databricks projects, reviewing architecture, or establishing standards for…
Python dataclass best practices: slots, frozen, validation. Trigger when optimizing dataclasses or creating config classes.
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observabili — from…
Interfaces with the Datadog API v2 monitors and dashboards endpoints to programmatically create and manage monitors.
Synchronizes Datadog monitor definitions between environments using the Datadog API v2 monitors endpoint.
Senior Data Engineer — designs data models, writes optimized SQL, builds ETL/ELT pipelines, manages data warehouse architecture. Treats SQL as a first-class language.
Use when developing BigQuery Dataform transformations, SQLX files, source declarations, or troubleshooting pipelines - enforces TDD workflow (tests first), ALWAYS use ${ref()}…
À utiliser pour toute donnée publique française : recherche de jeux de données data.gouv.fr, entreprises (SIRENE/SIRET/SIREN), géocodage et code INSEE de communes, puis…
Skill per lavorare con le tabelle dati nel progetto DuedGusto. Usa questa skill quando devi creare, modificare o debuggare componenti che usano AG Grid.
Work with Datalevin as an embedded or client/server Datalog database, including Babashka pod usage, schemas, transactions, queries, pull, rules, and Datomic/DataScript-style…
Data architecture expert for Autolab carpaintr - understands T1/T2 table schemas, processors, user-configurable data flows, backend parsing, API endpoints, and frontend UI wiring
Data Pipeline via AWS CLI v2 (`aws datapipeline`). Pipelines, definitions, objects, task management (legacy service).
Use when building or debugging DataRaptor Extract or DataRaptor Load operations in OmniStudio: designing multi-object extracts, configuring load upserts, handling iferror…
Use when you have NMR dataset metadata (cache-file flag, total point count, block layout configuration) and need to select an appropriate storage backend that balances memory…
Hugging Face Datasets library for loading and processing datasets. Use for loading datasets from Hub, processing with map/batch, tokenization, train-test splits, caching, and…
Writing Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like…
Diagnose and resolve errors in Data Flows, Replication Flows, Transformation Flows, and Task Chains. Use this when flows fail, to read error logs, identify root causes, and…
Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices
Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.
Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations
Reference for the Datum PowerShell DSC configuration data module: hierarchical data composition, Datum.yml, resolution precedence, merge strategies (MostSpecific, hash, deep,…
Helps work with the b00t datum system - TOML-based configuration for AI models, providers, and services.
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).
Daytona Electron sandbox testing with CDP/noVNC. Use when the user says test on Daytona, run Electron on Daytona, Daytona dry run, test Electron remotely, reproduce on Daytona, or…
Split a monolithic DayZ types.xml into 18 categorized files (ammo, weapons, vehicles, food, clothes, etc.) and auto-update cfgeconomycore.xml with the new file references.
Datenbankrecht: API-Nutzung Rate Limits und Vertragsbruch mit geführtem Workflow, Normencheck, Beweis- und Fristenlogik, Red-Team und verwertbarem Ergebnis.