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Found 148 Skills
Cal.com self-hosted deployment to GCP Cloud Run with Supabase PostgreSQL. Docker Compose for local dev. TRIGGERS - deploy calcom, cloud run, self-hosted, docker compose, supabase, gcp deploy, infrastructure, cal.com hosting.
Cloud IoT platforms: AWS IoT Core, GCP IoT Core, Azure IoT Hub, fleet management
Cloud and DevOps expert including AWS, GCP, Azure, and Terraform
Assess and migrate cross-cloud workloads to Azure with migration reports and code conversion guidance. Supports AWS, GCP, and other providers. WHEN: migrate Lambda to Azure Functions, migrate AWS to Azure, Lambda migration assessment, convert AWS serverless to Azure, migration readiness report, migrate from AWS, migrate from GCP, cross-cloud migration.
Vertex Ai Pipeline Creator - Auto-activating skill for GCP Skills. Triggers on: vertex ai pipeline creator, vertex ai pipeline creator Part of the GCP Skills skill category.
Cloud Logging Sink Setup - Auto-activating skill for GCP Skills. Triggers on: cloud logging sink setup, cloud logging sink setup Part of the GCP Skills skill category.
Pubsub Topic Setup - Auto-activating skill for GCP Skills. Triggers on: pubsub topic setup, pubsub topic setup Part of the GCP Skills skill category.
Reusable GCP Terraform module patterns for Cloud Run v2, Cloud SQL PostgreSQL, Artifact Registry, VPC, Secret Manager, and Workload Identity Federation. Load when creating or consuming reusable Terraform modules for GCP. Triggers: terraform module, reusable terraform, gcp module, terraform library, cloud run module, cloud sql module, artifact registry module, wif module, terraform module structure.
AWS, GCP, Azure services and cloud-native development
Cloud CLI patterns for GCP and AWS. Use when running bq queries, gcloud commands, aws commands, or making decisions about cloud services. Covers BigQuery cost optimization and operational best practices.
AWS, GCP, Azure data platforms, infrastructure as code, and cloud-native data solutions
Debugs and fixes Terraform errors systematically. Use when encountering Terraform failures, state lock issues, provider errors, syntax problems, or unexpected infrastructure changes. Includes debugging workflows, error categorization, common GCP-specific issues, and recovery procedures.