Databases · Google Cloud · google/skills

Query Cloud Trace spans, filter by latency thresholds or error status, correlate distributed traces with Cloud Logging, and diagnose latency bottlenecks across Google Cloud services.

google/skills

Analyzes BigQuery slot use, query costs and execution bottlenecks from INFORMATION_SCHEMA to diagnose slow queries, slot contention and unpartitioned scans.

google/skills

Interviews you about data model, workload and scale, then recommends one Google Cloud database from a decision matrix and drafts starter provisioning code for review.

google/skills

Translates Snowflake dbt SQL models into standardized BigQuery SQL, keeping Jinja constructs and tracking progress in a migration tasks file.

google/skills

Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable.

google/skills

Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations.

google/skills

Generates Python code using BigQuery DataFrames (BigFrames).

google/skills

Provides data-retrieval best practices, tool selection guidance, and performant SQL query syntax for BigQuery telemetry across INFORMATIONSCHEMA, Cloud Monitoring, and the REST API.

google/skills

Provides workflows to optimize BigQuery environments (capacity planning, editions), storage assets (partitioning, clustering, storage lifecycles, billing models), and SQL queries.

google/skills

Provides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system…

google/skills

This file generates or explains Cloud SQL resources. An agent skill from google/skills.

google/skills

Summarizes data lineage graphs on Google Cloud to help users debug data quality issues and understand data provenance for BigQuery and Cloud Storage.

google/skills

Answer natural language questions and perform analysis on GKE cluster and workload costs using BigQuery billing exports, cost allocation data, and live cluster monitoring metrics.

google/skills

Stores, retrieves, and manages data as objects in Cloud Storage on Google Cloud (also known colloquially as GCS) buckets.

google/skills

A skill your agent uses to manage Google Cloud Workload Manager evaluations, rules, scanned resources, and validation results by using public client libraries and the REST API.

google/skills

Retrieve, query, and identify relevant Cloud Monitoring metric descriptors on Google Cloud for a service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud…

google/skills

Manages GKE storage, including PVCs, PersistentVolumes, and Filestore.

google/skills

Discovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents.

google/skills

Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine).

google/skills

Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search.

google/skills

Generates Logging Query Language (LQL) queries for Cloud Logging on Google Cloud from natural language.

google/skills

Analyzes the downstream impact (blast radius) using data lineage on Google Cloud when a BigQuery table or view is broken, stale, or modified.

google/skills

Assists in provisioning instances and databases, designing performant schemas, and querying data in Spanner.

google/skills