Terraform plugins

Build and manage cloud infrastructure and deployment pipelines with AWS serverless, Docker, Kubernetes, Terraform, and CI/CD workflows, including environment setup, containerization, GitOps, and production deployment strategies.

Extend Claude Code with a dedicated DevOps team for cloud infrastructure lifecycle management—designing, deploying, securing, and operating production systems across AWS, Azure, and GCP using Kubernetes, Terraform, CI/CD, and SRE practices.

Integrate Terraform Cloud/Enterprise into your local IaC workflow via Docker subprocess, using TFE_TOKEN to manage workspaces, run plans, apply deployments, inspect and manipulate state for automated infrastructure provisioning and updates.

Generate structured engineering documents and analyses for code reviews, incident postmortems, API docs, architecture decisions, system design, runbooks, CI/CD, SLOs, database migrations, security threat models, and more — all from natural language prompts in Claude Code.

Scaffold, build, evaluate, deploy, publish, and monitor AI agents on Google Cloud using the Google ADK Python SDK.

Generate complete Ansible playbooks, roles, inventories, and configurations to automate server provisioning, app deployments, service setups, and idempotent DevOps workflows with production-ready YAML, best practices, security hardening, and built-in documentation.

Generate production-ready Google Cloud code examples, starter kits, and templates for AI agents and apps from official ADK, Genkit, and Vertex AI sources. Adapt to Python, TypeScript, or Go with security, monitoring, Firebase, and Terraform IaC integration.

Automate full Databricks lakehouse lifecycle: build Delta Lake ETL pipelines with medallion architecture and Auto Loader, engineer ML workflows via MLflow and Feature Store, deploy jobs/pipelines with Asset Bundles and GitHub Actions CI/CD, secure via Unity Catalog RBAC, optimize costs/performance, troubleshoot errors, and monitor with system tables.

Generate modular, production-ready Infrastructure as Code configurations for Terraform, CloudFormation, Pulumi, ARM templates, and CDK across AWS, GCP, and Azure clouds, including variables, outputs, and remote state setup.

Generate production-ready, reusable Terraform modules for AWS, GCP, and Azure from a name and description. Automatically includes variables, outputs, validations, security best practices, scalable architecture, examples, and auto-generated README documentation.

Generate production-ready GitOps workflows for Kubernetes using ArgoCD or Flux, creating manifests, sync policies, multi-environment promotions, RBAC configurations, notifications, and CI/CD integrations for secure, scalable continuous deployments.

Manage environment configurations and secrets across dev/staging/prod deployments using .env files, Kubernetes ConfigMaps/Secrets, and AWS SSM. Audit values, encrypt secrets with sops, validate schemas, detect drift, and run promotion workflows. Generate secure, scalable DevOps setup code for Docker, Kubernetes, Terraform, AWS, and GCP infrastructure.

Provision Terraform infrastructure for Genkit AI apps on Firebase Functions, Cloud Run, or GKE, handling secrets, monitoring dashboards, auto-scaling, and CI/CD pipelines in a single workflow.

Provision Vertex AI infrastructure on GCP using Terraform modules to deploy Model Garden models, Gemini endpoints, vector search indices, ML pipelines, encryption, auto-scaling, and IAM roles for Agent Engine.

Provision secure GCP infrastructure for Vertex AI ADK and Agent Engine deployments using Terraform. Automate setup of Agent Engine runtime, code execution sandbox, Memory Bank, VPC Service Controls, IAM roles, and networking to enable scalable AI agent workflows.

Audit Terraform, Kubernetes, and cloud configurations for CIS, SOC2, HIPAA, PCI-DSS compliance using Checkov, tfsec, and OPA. Generate detailed reports, remediation patches, CI/CD gating steps, plus production-ready secure DevOps configurations, setup code, and documentation with security-first best practices.

Audit IaC templates like Terraform and CloudFormation, Docker and Kubernetes manifests, nginx configs, and app settings for security misconfigurations against OWASP and CIS benchmarks. Scan current projects for issues in code and settings, reporting problems with potential fixes.

Analyze AWS, GCP, and Azure costs through APIs to identify idle resources, top spenders, and savings opportunities like rightsizing, reservations, spot instances, and storage tiering. Generate Terraform IaC changes, cost reports, alerts, and optimized DevOps configurations from infrastructure descriptions.

Generate disaster recovery plans for cloud infrastructure, defining RTO/RPO targets, multi-region failover, Terraform standby resources, database replication, failover scripts, runbooks, plus production-ready DevOps configs and documentation.

Detect drift between cloud infrastructure and IaC definitions using Terraform plan, CloudFormation detect-stack-drift, or Pulumi preview. Parse changes into resource-level reports with remediation suggestions. Generate production-ready DevOps configurations, setup code, and documentation from infrastructure specs.

Automate management of container registries like Docker Hub, AWS ECR, GCP Artifact Registry, and Azure ACR by handling tagging, lifecycle policies, replication, vulnerability scanning, and access controls. Generate standardized Markdown documentation with YAML metadata, features, examples, and invocation details for DevOps registry tools from a simple name and description.

Generate production-ready service mesh configurations for Kubernetes microservices using Istio, Linkerd, or Consul Connect. Automate mTLS encryption, traffic routing, resilience policies, observability setups, plus supporting code and documentation based on your infrastructure requirements.

Configure auto-scaling policies for AWS ASG, GCP MIG, Azure VMSS, and Kubernetes HPA. Generate Terraform, YAML, or CLI configs tailored with metric thresholds and cooldowns. Create production-ready DevOps setups, code, and documentation for scalable secure infrastructure.

Generate production-ready load balancer configurations for AWS ALB/NLB, GCP, Nginx, and HAProxy by providing DevOps requirements and infrastructure specs. Outputs include health checks, SSL termination, routing rules, sticky sessions, monitoring, setup code, and documentation.

Orchestrate multi-stage deployment pipelines across dev, staging, and prod environments using Kubernetes and CI/CD platforms like GitHub Actions and Jenkins. Apply strategies such as blue-green, canary, and rolling updates. Generate production-ready pipeline configurations, setup code, and documentation tailored to Docker, Terraform, and AWS infrastructure.

Build and deploy NVIDIA-powered workflows across GPU acceleration, CUDA, AI inference, robotics, simulation, and Omniverse USD pipelines, with skills for infrastructure setup, deep research queries, optimization SDKs, and synthetic data generation.

Manage the full Azure lifecycle from Claude: provision VMs, AKS clusters, and PaaS apps; deploy with Bicep, Terraform, or azd; query costs and resources; diagnose services via AppLens and Monitor; configure AI gateways and Entra ID auth; migrate cross-cloud workloads; run compliance scans and reliability checks.

Delegate specialized AI agents to design cost-optimized cloud architectures on AWS/Azure/GCP using Terraform, administer and optimize PostgreSQL/MySQL/MongoDB databases, troubleshoot DevOps outages with logs/metrics analysis, configure CI/CD pipelines with Docker/Kubernetes, and debug networks with nginx/HAProxy.

Generate and format Terraform HCL code per HashiCorp style guides, bulk import existing AWS and Azure resources into state via search queries, certify modules for AVM compliance, and author .tftest.hcl tests for validation, mocks, and CI/CD pipelines.

Research infrastructure best practices via enhanced web search and automatically generate deployable Terraform modules, Dockerfiles, Kubernetes manifests, Pulumi programs, and CI/CD pipelines for AWS, GCP, or Azure deployments.

Develop Terraform providers in Go with Plugin Framework: scaffold projects, implement resources/data sources/actions with CRUD and lifecycle hooks, run acceptance tests via patterns and TF_ACC, generate/validate Registry docs using tfplugindocs.

Refactor monolithic Terraform configurations into reusable modules following HashiCorp best practices, including clear interfaces, encapsulation, documentation, testing, and state migration. Generate, modify, validate, and manage Terraform Stacks for multi-region and multi-environment infrastructure deployments from local, public, or private sources.

Build and manage Snowflake data platforms: connect via Node.js/Python SDKs, ingest data from S3/GCS/Azure stages/Snowpipe, construct ELT pipelines with streams/tasks/dynamic tables, tune query performance/costs/clustering, enforce RBAC/security policies/governance, integrate CI/CD with GitHub Actions/Terraform, set up multi-env/observability, troubleshoot errors/incidents.

Automate Oracle Cloud Infrastructure (OCI) management: provision compute instances, VCNs, databases; deploy containers to Kubernetes; configure RBAC, monitoring, budgets; set up Terraform CI/CD pipelines; troubleshoot errors, handle migrations from AWS/Azure, and optimize performance/costs using Python SDK, CLI, and bash skills.

Optimize Kubernetes costs with Cast AI: deploy agents via Helm or Terraform, configure autoscalers and policies for spot instances and right-sizing, integrate cost checks into GitHub Actions CI/CD, debug agent issues, secure RBAC and API keys, and monitor savings across EKS/GKE/AKS using 18 targeted skills.

Deploy applications to AWS with architecture recommendations, cost estimates, and validated infrastructure-as-code. Generate AWS architecture diagrams as draw.io XML exports.

Lets an AI assistant leverage 186 curated agentic skills to provide expert guidance on Azure development — including troubleshooting, architecture decisions, security configuration, and deployment best practices across compute, data, AI/ML, networking, and management services.

Interactively configure secure Google Cloud Storage buckets and Cloud Run services following best practices, generating Terraform or gcloud commands, Dockerfiles, IAM setups, scaling, monitoring, CI configs, and documentation for quick deployment.

Generate complete, validated Terraform modules by prompting for purpose like networking or compute, including full dir structure, vars, resources, outputs, README, and examples. Plan infrastructure changes with summarized diffs, risk highlights, cost estimates, confirmation, then apply.

Verify AI-generated code against design specs using PDCA quality gates and trust-based automation levels. Orchestrate multi-agent teams across full-stack projects—from product discovery to deployment—with automated code review, sprint management, and audit logging.

Orchestrate multiple AI agents across Claude Code, Codex, Gemini, and other platforms to automate software development tasks including architecture, coding, review, testing, deployment, and documentation.

Manage Azure cloud resources, deploy applications, and monitor infrastructure directly from Claude Code. Covers provisioning, cost analysis, security audits, AI services, Kubernetes, and migration from other clouds.

Manage Oracle Cloud Infrastructure resources with guidance on OKE cluster design, networking, troubleshooting, and Enterprise AI workflows including Generative AI, RAG, agents, cost estimation, and governance

Orchestrate IaC workflows with Atmos CLI across Terraform, Helmfile, Ansible, and Packer stacks: configure components/stacks with inheritance and YAML functions, manage multi-cloud auth/stores, validate schemas/policies, vendor modules, introspect changes, execute GitOps CI/CD, and run multi-step automation.

Execute end-to-end feature development via phased AI waves—DISCOVER products with JTBD interviews, DISCUSS requirements and UX journeys, DESIGN architectures with C4 diagrams, DEVOPS infrastructure with Terraform/K8s, DISTILL BDD tests, DELIVER TDD code—enforced by 23 agents, automated reviews, and quality gates for production-ready outputs.

Navigate Cloudflare's full product suite—compute (Workers, Pages), storage (R2, D1, KV), AI (Workers AI, Vectorize), networking, security, and IaC (Terraform, Pulumi)—via interactive decision trees to select services and retrieve prioritized documentation for deployments.

Interactively select architecture paradigms for software systems via scenario matching, compare trade-offs for team size and complexity, generate ADRs, and receive tailored implementation plans with steps, deliverables, risks, and mitigations for client-server, CQRS, event-driven, hexagonal, microservices, and more.

Set up production-ready CI/CD pipelines, Docker containers, Kubernetes clusters, Terraform infrastructure as code, and AWS deployments to automate application releases and eliminate manual workflows.

Automate DevOps tasks with an AI agent that configures CI/CD pipelines for testing and deployment, provisions scalable cloud infrastructure using Terraform with auto-scaling, orchestrates containers via Docker and Kubernetes, and sets up monitoring and alerting systems.

Automate deployment workflows by setting up CI/CD pipelines with GitHub Actions, Docker containerization, Kubernetes clusters, infrastructure as code using Terraform, and cloud deployments to AWS.

Generate and validate production-ready DevOps configurations including CI/CD pipelines for GitHub Actions, GitLab, Azure DevOps, Jenkins; IaC with Terraform, Terragrunt, Helm charts, Kubernetes YAML; Dockerfiles, Ansible playbooks, Bash scripts, Makefiles; plus Fluent Bit, Loki, PromQL/LogQL setups. Enables full DevOps workflows from scaffolding to auditing syntax, security, and best practices.

Automate GRC engineering workflows: map IaC (Terraform, Kubernetes, CloudFormation) to compliance controls (SOC2, NIST, ISO27001), generate policy-as-code (Rego, Sentinel, Checkov), collect audit evidence from AWS/Azure/GCP/K8s via scripts, scan IaC/PRs for violations with fixes, test control effectiveness, resolve framework conflicts, and transform risks into Jira tickets.

Set up automated CI/CD pipelines for deploying containerized apps to production, including Docker builds, GitHub Actions workflows, Kubernetes clusters, Terraform IaC, and AWS configurations.

Automate DevOps workflows by setting up CI/CD pipelines, configuring cloud infrastructure with Terraform IaC, Docker and Kubernetes orchestration, monitoring and alerting systems, and auto-scaling deployments to handle traffic spikes and production issues.

Assess SOC 2 Type I/II audit readiness for cloud environments, identify control gaps across Trust Service Criteria, generate remediation Infrastructure as Code in Terraform or CloudFormation, produce evidence checklists and matrices, map controls from documents or IaC, and compile auditor-ready packages with AWS evidence collection.

Automate DevOps setups with an AI agent that configures CI/CD pipelines for automated testing and deployments on main branch pushes, implements scalable cloud infrastructure using Terraform with auto-scaling and load balancing, orchestrates Docker and Kubernetes containers, and deploys monitoring and alerting systems to detect production issues rapidly.

Manage complete Azure workflows conversationally: prepare/validate/deploy infrastructure via AZD/Bicep/Terraform; monitor apps with App Insights/KQL; secure resources using RBAC/Key Vault/Defender; optimize costs and quotas; provision/deploy AI models/agents with OpenAI/Foundry—all using integrated MCP tools and CLI from Claude Code.

Run 100+ specialized AI commands, skills, and agents via /spartan to scaffold Kotlin Micronaut backends and Next.js apps, provision Terraform AWS infra, automate PR reviews/gates/tests/QA, manage startup pipelines from idea validation to investor pitches, with safety locks, multi-agent coordination, and deep codebase analysis.

Run comprehensive security operations from a single skill: reconnaissance, vulnerability assessment, exploit development, reverse engineering, malware analysis, threat hunting, incident response, network/web/cloud security, SOC automation, log analysis, cryptography, red and blue team operations, AI/LLM, mobile, and OT/ICS security assessments with regulatory compliance mapping

Shipyard provides a structured software delivery workflow for Claude Code, guiding projects through lifecycle phases: brainstorming, planning, TDD implementation, code review, security auditing, infrastructure validation, and shipping. It enforces root-cause analysis, code simplification, and systematic git worktree management.

Delegate infrastructure and DevOps tasks to AI agents that automate CI/CD pipelines with GitHub Actions, manage deployments, configure IaC using Terraform, set up monitoring, handle containerization via Docker and Kubernetes, and optimize SDLC workflows.

Delegate platform engineering tasks to specialized AI agents that optimize developer experience through tooling and workflows, provision infrastructure with IaC tools like Terraform and Pulumi across AWS, GCP, and Azure, and design internal developer platforms for self-service, golden paths, and onboarding.

Accelerate building production-ready systems with AI agents for architecture design, code review, security auditing, CI/CD setup, testing, and documentation, supporting full-stack development from exploration to deployment.

Troubleshoot, audit, and secure production Kubernetes platforms across GitOps, CI/CD, cloud providers, and service mesh — with blast-radius-aware reviews, validation steps, and rollback plans built into every response.

Automate CI/CD pipeline generation from your project stack for GitHub Actions, GitLab CI, or Bitbucket, validate Dockerfiles and workflows for security and best practices, and run production readiness preflight checks with zero-downtime deployment strategies.

Accelerate cloud security workflows by triaging alerts, investigating incidents, analyzing IAM risks, mapping attack paths, assessing compliance gaps, and discovering sensitive data exposure across AWS, GCP, and Azure environments using the Orca Cloud Platform.

Orchestrate a full-stack product team of 100+ AI specialist agents covering engineering, infrastructure, security, ML, design, product, sales, legal, and operations — all working within your Claude Code sessions on your codebase.

Validates Terraform configurations, enforces infrastructure-as-code best practices, and provides code intelligence for HCL files with diagnostics, references, and module organization guidance.

AI-assist Google Cloud CI/CD: design pipelines with Cloud Build best practices, deploy securely to Cloud Storage (static), Cloud Run/GKE (dynamic) after app analysis and secret scanning, manage multi-environment releases with canary strategies/rollbacks, and provision infra via Terraform.

Orchestrate the full SDLC as a solo founder or small team by specifying features, then letting specialized agents handle architecture, code review, compliance (HIPAA, PCI, SOX, AI bias, 50+ domains), security audits, and QA — with structured gates for human decisions and evidence-based sign-offs.

Manage project tool versions, environment variables, and build tasks with Mise. Install and pin versions for Node, Python, Rust, Go, and more; define tasks with dependencies, arguments, and env vars; and enforce configuration consistency.

Author OpenTofu/Terraform HCL and Ansible playbooks to provision infrastructure on Hetzner, DigitalOcean, Cloudflare, AWS, GCP, Azure, and Backblaze. Integrate cloud-init for VM setup, 1Password for secrets, and audit code for security, simplicity, maintainability, and best practices with scoring reports.

Migrate Terraform, AWS CDK, ARM/Bicep, and CloudFormation infrastructure to Pulumi programs. Convert source code or templates, import existing resources from tfstate or stacks into Pulumi for zero-diff validation, and generate deployment reports to streamline IaC transitions.

Run syncable CLI skills to analyze project tech stacks and monorepos, audit dependencies for CVEs/licenses/copyleft, scan code for secrets/vulnerabilities/insecure patterns, validate IaC (Dockerfiles/Compose/Terraform/K8s manifests), optimize K8s clusters for cost/resources, and execute secure deployments to GCP/Azure with audits.

Autonomously design, configure, deploy, and troubleshoot production-grade AI agents on AWS using Bedrock, AgentCore, and Strands Agents SDK with Terraform-first infrastructure and CloudWatch/OpenTelemetry observability, every recommendation traced to official AWS sources.

Manage an EKS Auto Mode cluster lifecycle: onboard new users from zero to a running cluster, then keep the repository in sync across docs, templates, Terraform config, and tagging layers.

Manage infrastructure deployments, workspaces, applications, and cloud resources on the Nullstone platform directly from your IDE using its CLI tools integrated as an MCP server.

Delegate full-stack SDLC architecture decisions to specialized AI agents that design scalable backends with microservices and caching, secure REST/GraphQL APIs with OpenAPI specs, performant React/Next.js frontends with state management, Kubernetes/Terraform DevOps pipelines, data lakehouses with dbt, mobile apps in React Native/Flutter, and accessible UI systems.

Manage Terragrunt infrastructure-as-code patterns with OpenTofu/Terraform, including stacks, units, remote state, and multi-account deployments.

Structured development workflows for Claude Code: plan features from specs and architecture, implement with TDD and worktree isolation, verify with multi-agent review, then deploy behind feature flags with observability

Manage AWS infrastructure, security, monitoring, and deployments from Claude Code using 36 on-demand skills covering Terraform, CDK, serverless, and migration workflows. Includes security auditing, code review, cost analysis, and release automation agents.

Run automated security audits against OWASP Top 10, CWE Top 25, and CVSS v4.0 standards, with deep scanning for PHP/TYPO3 projects, APIs, frontends, infrastructure-as-code, cloud configurations, and dependencies. A pre-execution hook warns before running any Bash command to prevent accidental destructive operations.

Automate enterprise DevOps workflows by delegating CI/CD pipeline setup, Docker containerization, Kubernetes cluster configuration, cloud deployments to AWS/GCP/Azure, Terraform-based infrastructure as code, cloud migrations, scalability architecture, and cost optimization to a strategic agent that provides assessments, roadmaps, and transformation strategies.

Automate end-to-end DevOps workflows: set up CI/CD pipelines for automated testing and deployments, provision scalable cloud infrastructure on AWS/Azure/GCP using Terraform or Pulumi, orchestrate Docker and Kubernetes clusters, implement monitoring/alerting, security scans, and performance optimizations directly via agent commands.

Supercharge Claude Code with a plugin ecosystem: diagnose CI/CD failures, investigate incidents, review code and architecture, design cloud infrastructure, optimize costs, and automate TODO workflows—all through reusable agents and skills.

Provision and manage Azure infrastructure for 2025-2026 AI/ML workloads using AKS Automatic mode, GPU Container Apps, Deployment Stacks, Azure OpenAI GPT-5 models, and ML Foundry workspaces. Generate CLI/PowerShell/Terraform commands, apply Well-Architected Framework best practices for security, networking, cost optimization, debugging, and private endpoints.

Block dangerous shell commands and credential file reads before execution using pattern matching plus LLM analysis. Toggle protection, view audit logs, and bypass checks for individual commands.

Automatically detects tech stacks like React, Docker, Kubernetes, Terraform in project files or queries, searches Claude Code skills across local dirs, skills.sh, and GitHub, displays markdown tables with install info, and installs selected ones via npx or downloads with conflict checks and verification.

Orchestrate AI agent workflows across IDEs with structured planning, implementation, testing, and documentation generation, plus infrastructure-as-code support and multi-agent coordination.

Follow sorah's coding guidelines for general code quality, Ruby, Rails, Rust, Terraform, security vulnerabilities, git commits, and Japanese docs while writing or reviewing code. Auto-generate styled git commits and GitHub PRs from changes. Perform security reviews and audits on code diffs, files, or repos via commands and agent.

Orchestrates project scaffolding, infrastructure templating, and Harness CI/CD pipelines using multiple template engines (Handlebars, Cookiecutter, Copier, Maven) and multi-agent automation for full project lifecycle — from analysis and code generation to deployment.

Manage the full DevOps lifecycle: provision infrastructure as code across AWS, GCP, and Azure, configure CI/CD pipelines with GitHub Actions or Jenkins, and deploy applications using blue-green, canary, or rolling strategies with automated rollback and health monitoring.

Automate full infrastructure lifecycles: generate IaC with Terraform, CDK, or CloudFormation for AWS; design CI/CD pipelines for GitHub Actions or GitLab; create idempotent Bash/Python scripts; orchestrate deployments with blue-green/canary strategies, rollbacks, health checks; implement GitOps using ArgoCD/Flux on Kubernetes.

Builds a compiled, multi-layer context for Claude Code: discovers stacks, extracts conventions, maps features to code, tracks provenance, and enforces a plan-first protocol. Prevents blind re-implementation, phantom features, drift, and cross-session amnesia in complex projects.

Manage Terraform Cloud workspaces and runs: view run history, inspect plan diffs, retrieve logs, trigger plan/apply workflows, and detect drift — all through Claude chat.

Connect Claude Code to external services like Linear, GitHub, Notion, Slack, Vercel, Figma, Amplitude, and Nx via MCP servers to query issues, send messages, manage deployments, access designs, and analyze analytics. Automate daily standups from GitHub/Linear data, refine tasks into actionable plans, orchestrate CI/CD pipelines with Docker, Kubernetes, Terraform across AWS/GCP/Azure, and setup authentication workflows.