automating-with-github-actions
The agent implements GitHub Actions CI/CD workflows with builds, tests, and deployments. Use when setting up continuous integration, automating deployments, creating reusable actions, or implementing security s...
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The agent implements GitHub Actions CI/CD workflows with builds, tests, and deployments. Use when setting up continuous integration, automating deployments, creating reusable actions, or implementing security s...
The agent implements Kubernetes container orchestration with deployments, services, Helm charts, and production patterns. Use when deploying containerized applications, configuring autoscaling, managing secrets...
Managing LangGraph Cloud deployments through listing, filtering, and cleanup operations. Use when managing test deployments, cleaning up orphaned resources, filtering by name patterns, or handling bulk deletion...
Query GCP Cloud Logging for errors, service logs, and request traces. Use when investigating GCP-hosted services.
ALWAYS check before using gcloud commands. Guide for GCP-related skills and tools.
Comprehensive guide for Terraform code style, formatting, and best practices based on HashiCorp's official standards and Azure Verified Modules (AVM) requirements. Use when writing or reviewing Terraform config...
Comprehensive guide for working with HashiCorp Terraform Stacks. Use when creating, modifying, or validating Terraform Stack configurations (.tfcomponent.hcl, .tfdeploy.hcl files), working with stack components...
Comprehensive guide for writing and running Terraform tests. Use when creating test files (.tftest.hcl), writing test scenarios with run blocks, validating infrastructure behavior with assertions, mocking provi...
Kubernetes deployments, troubleshooting, and operational best practices.
Cloud cost management, rightsizing, and FinOps practices.
Infrastructure as Code with Terraform - modules, state management, and best practices.
Cloud cost optimization and FinOps analysis across AWS, Azure, and GCP
AI-powered enterprise MCP (Model Context Protocol) server orchestrator with intelligent plugin management, predictive optimization, ML-based performance analysis, and Context7-enhanced integration patterns. Use...
Enterprise-grade cloud architecture expertise with production-ready patterns for AWS (Lambda 3.13, ECS/Fargate 1.4.0, RDS, CDK 2.223.0), GCP (Cloud Run Gen2, Cloud Functions 2nd gen, Cloud SQL), Azure (Function...
Enterprise configuration schema validation and management orchestrator with JSON Schema v2024-12, Context7 integration, semantic versioning compliance, environment variable management, secrets handling, multi-e...
Enterprise Neon Serverless PostgreSQL Platform with AI-powered database architecture, Context7 integration, and intelligent branching orchestration for scalable modern applications
Enterprise Firebase Platform with AI-powered Google Cloud integration, Context7 integration, and intelligent Firebase orchestration for scalable mobile and web applications
Enterprise Railway Full-Stack Platform with AI-powered container orchestration, Context7 integration, and intelligent deployment automation for scalable modern applications
Enterprise Vercel Edge Platform with AI-powered modern deployment, Context7 integration, and intelligent edge orchestration for scalable web applications
Enterprise Cloudflare Edge Platform with AI-powered edge computing architecture, Context7 integration, and intelligent global orchestration for scalable modern applications
Enterprise Configuration Management with AI-powered settings architecture, Context7 integration, and intelligent configuration orchestration for scalable applications
Generate operational runbooks for services, procedures, or incident response with step-by-step procedures, troubleshooting guides, and escalation paths
Полное удаление аккаунта и всех связанных данных из конфигурации.
Helps create, debug, and deploy Azure Functions using the Python v2 programming model. Use this skill when working with HTTP triggers, MCP triggers, timer triggers, or any Azure Functions development including...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.