Collect Databricks debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information…
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…
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()}…
Guides agents through GCP-native data governance workflows with Dataplex and BigQuery. Use when designing lakes, zones, policy tags, metadata quality, lineage, discovery, and…
データベースクエリ・分析支援。SQLクエリの作成、実行、結果の分析を行う。BigQuery、PostgreSQL、MySQL対応。トリガー: /db-query, SQL, クエリ, データ分析, BigQuery
DBA Deutschland Frankreich aus 1959 mit Änderungsprotokollen. Anwendungsfall Pendler im Elsass und Lothringen Grenzgaengerregelung 20-km-Zone. Beteiligungen Pensionen Lizenzen.
dbt Core/Cloud data transformations, testing, documentation, and CI/CD. Activate on: dbt, data transformation, analytics engineering, ref, source, staging model, mart, dbt test.
Builds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show.
dbt (data build tool) patterns for model organization, incremental strategies, and testing.
Parses dbt project artifacts (manifest.json and catalog.json) to build a lineage graph and identify models with no tests, stale documentation, or missing uniqueness assertions.
Comprehensive guide to dbt (data build tool) patterns, modeling best practices, testing strategies, and production workflows for modern data transformation
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.
Use when creating or modifying dimensional dbt models in warehouse-backed analytics projects. Covers a four-layer warehouse architecture (sources/staging/core/marts), naming…
Dbt Test Creator - Auto-activating skill for Data Pipelines. Triggers on: dbt test creator, dbt test creator Part of the Data Pipelines skill category.
Generate dbt tests (seeds, schema tests, singular assertions) for ETL-to-Snowflake ETL dbt sub-projects. Scoped to dbt projects assigned to the current phase.
dbt testing strategies using dbt_constraints for database-level enforcement, generic tests, and
Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing.
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies.
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies.
Write dbt unit-test specs with given/when/expect shape. Seeded from dbt-labs/dbt-agent-skills (Feb 9 2026).
Designing Data-Intensive Applications (DDIA) distilled reference guide by Martin Kleppmann. MUST be loaded when: designing database schemas, choosing storage engines, implementing…
Use to find a bug's first bad commit or smallest failing input — git bisect run, delta debugging.
Diagnose slow, expensive, or regressed Apache Spark and PySpark applications by comparing runtime evidence against a healthy run.
Diagnose failed Apache Spark and PySpark applications from History Server evidence, logs, and cluster-manager state.
Debugs and fixes dbt errors systematically. Use when working with dbt errors for: (1) Task mentions "fix", "error", "broken", "failing", "debug", "wrong", or "not working" (2)…
NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference…
Delta Lake テーブルの設計・最適化・運用を支援するスキル。 テーブル設計（Liquid Clustering、パーティション、Deletion Vectors）、 データ操作（MERGE最適化、CDF、Streaming）、 パフォーマンス（OPTIMIZE、VACUUM、Data Skipping）、 Medallion…
Deploy Airflow DAGs and projects. Use when the user wants to deploy code, push DAGs, set up CI/CD, deploy to production, or asks about deployment strategies for Airflow.
Deploys Apache Kafka on Kubernetes using the Strimzi operator with KRaft mode. Use when setting up Kafka for event-driven microservices, message queuing, or pub/sub patte — from…
Test distributed systems in the style of TigerBeetle and Joran Dirk Greef, using deterministic simulation and time compression.
Conception de pipelines CI/CD pour tout type de plateforme. Se déclenche avec "CI/CD", "pipeline", "GitHub Actions", "Azure DevOps", "GitLab CI", "déploiement automatique — from…
Architecture de messaging avec RabbitMQ, Kafka, Azure Service Bus. Se déclenche avec "message queue", "RabbitMQ", "Kafka", "queue", "messaging", "async", "pub/sub", "brok — from…
Detect duplicate definitions across repos: Drizzle table definitions, Kafka topic registrations, migration prefixes, and Python model names.
Plan a SaaS vendor's presence as a source connector on third-party ETL/ELT platforms - demand validation before any build, platform selection from where customers' data stacks…
Use when designing data pipelines, choosing between ETL and ELT approaches, or implementing data transformation patterns. Covers modern data pipeline architecture.
Apache NiFi specialist for flow-based data integration, routing, and provenance tracking. Deep expertise in processors, FlowFiles, connections, process groups, clustering,…
Design, implement, review, test, troubleshoot, and operate large deterministic ETL pipelines from Oracle through canonical TSV, typed Parquet, DuckDB validation, and versioned…
Event sourcing and CQRS expert for AI memory systemsUse when "event sourcing, event store, cqrs, nats jetstream, kafka events, event projection, replay events, event schema,…
Use for Microsoft Fabric Eventstream — the streaming-ingestion item routing CDC / Event Hubs / Kafka / IoT / HTTP / MQTT events into Lakehouse, Eventhouse, Activator, or derived…
Use when developing, sharpening, or pressure-testing a strategy or strategic plan — for a business, product, startup, campaign, or personal plan; when asking "is this a real…
TypeScript ve .NET derleme hatalarını tespit edip düzeltir — any kullanmak YASAK
数据格式转换专业版面向需要在大规模数据与多源系统间进行格式转换的专业开发者与数据工程师,提供完整的批量、流式、自动化转换能力。核心能力: - 涵盖免费版全部能力,无文件大小与数量限制 - 批量转换:目录级批量处理,支持通配符与递归 - 流式转换:大文件分块读取与流式输出,支持 GB 级 - 自定义字段映射:重命名、过滤、合并、拆分字段 -…
Build the bipartite funder↔paper analytics — per-funder paper/A-grade/mean-grade rollup, mean CD-index + novelty bias, and co-funding clusters.
Use when designing or debugging real-time netcode in any engine — choosing a sync model (authoritative server vs deterministic lockstep vs rollback/GGPO), client-side prediction…
Use when implementing client-server state synchronization, delta compression, optimistic updates, rollback netcode, or real-time game state reconciliation.
Analyze BigQuery slot reservation sizing, BI Engine acceleration, query cost estimation, dataset governance (expiration, access controls), and partitioning/clustering optimization…