> browse/registry

> bigquery-pipeline-audit

Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.

> dbt

dbt (data build tool) transforms data in your warehouse using SQL SELECT statements. Learn project setup, models, tests, documentation, incremental materializations, and integration with data warehouses like PostgreSQL, BigQuery, and Snowflake.

> gcp-firestore

Build real-time applications with Google Cloud Firestore. Model data with collections and documents, execute queries with composite indexes, set up real-time listeners for live updates, enable offline persistence, and write security rules for client-side access control.

> cloud-resource-analyzer

Finds orphaned, idle, and underutilized cloud resources across AWS, GCP, or Azure accounts. Use when someone needs to audit cloud spending, find unused EBS volumes, stale snapshots, unattached IPs, idle load balancers, or oversized RDS instances. Trigger words: cloud waste, orphaned resources, unused volumes, cloud audit, infrastructure cleanup, cloud bill analysis.

> remotion-video-toolkit

Programmatic video creation with React using Remotion. Use when a user asks to create videos with code, generate personalized videos, build animated data visualizations, add TikTok-style captions, render video programmatically, or automate video production. Supports CLI rendering, AWS Lambda, and Google Cloud Run deployment.

> gcloud

Google Cloud CLI for managing GCP resources. Use when the user needs to work with Compute Engine, Cloud Storage, Cloud Functions, IAM, GKE, and other Google Cloud services from the terminal.

> gcp-cloud-storage

Manage Google Cloud Storage for scalable object storage. Create and configure buckets, upload and organize objects, generate signed URLs for secure temporary access, set lifecycle rules for cost optimization, and configure access control.

> gcp-cloud-run

Deploy serverless containers on Google Cloud Run. Build and push container images, configure auto-scaling from zero, split traffic between revisions for canary deployments, and set up custom domains with managed TLS.

> gcp-bigquery

Analyze massive datasets with Google BigQuery. Run SQL queries on petabytes of data, load and stream data in real-time, create materialized views, and use BigQuery ML for machine learning models directly in SQL.

> packer

HashiCorp Packer for building automated machine images. Use when the user needs to create AMIs, Docker images, or GCP images using HCL templates with provisioners for consistent, reproducible infrastructure images.

> porter

Expert guidance for Porter, the platform that provides a Heroku-like experience on your own AWS, GCP, or Azure account. Helps developers deploy applications on managed Kubernetes clusters provisioned in their own cloud accounts, with the simplicity of `git push` deployment and the control of owning your infrastructure.

> segment

Collect and route customer data with Segment — customer data platform (CDP) that sends events to any destination. Use when someone asks to "track user events across tools", "Segment", "customer data platform", "send events to multiple analytics tools", "CDP", or "unify analytics across Mixpanel/ Amplitude/BigQuery". Covers identify, track, page, group, and destination routing.

> gcp-cloud-functions

Build serverless functions on Google Cloud Functions. Deploy HTTP and event-driven functions triggered by Pub/Sub, Cloud Storage, and Firestore. Configure runtime settings, manage dependencies, and connect to other GCP services.

> ibis

Expert guidance for Ibis, the Python dataframe library that provides a pandas-like API but generates SQL for execution on any backend — DuckDB, PostgreSQL, BigQuery, Snowflake, Spark, and more. Helps developers write analytics code once and run it anywhere without rewriting SQL for each database.

> generating-infrastructure-as-code

This skill enables Claude to generate Infrastructure as Code (IaC) configurations. It uses the infrastructure-as-code-generator plugin to create production-ready IaC for Terraform, CloudFormation, Pulumi, ARM Templates, and CDK. Use this skill when the user requests IaC configurations for cloud infrastructure, specifying the platform (e.g., Terraform, CloudFormation) and cloud provider (e.g., AWS, Azure, GCP), or when the user needs help automating infrastructure deployment. Trigger terms includ

> hybrid-cloud-architect

Expert hybrid cloud architect specializing in complex multi-cloud solutions across AWS/Azure/GCP and private clouds (OpenStack/VMware). Masters hybrid connectivity, workload placement optimization, edge computing, and cross-cloud automation. Handles compliance, cost optimization, disaster recovery, and migration strategies. Use PROACTIVELY for hybrid architecture, multi-cloud strategy, or complex infrastructure integration.

Connect Airflow to AWS, GCP, and cloud services with official providers.

> sql-queries

Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring databases, or translating business questions into queries.

> terraform-module-library

Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.

> always-verify-gcp

A workflow skill for all Google Cloud resource management tasks (create, delete, modify). This skill ensures that the correct CLI tool (`gcloud`, `bq`, `gsutil`) is chosen and that its commands are verified against the latest official documentation before execution.