Kubernetes plugins

Automatically generate C4 architecture diagrams (Context, Container, Component, Code) from your codebase via bottom-up analysis, producing Mermaid diagrams and documentation for system design, API interfaces, and deployment units.

Orchestrate 1,388 specialized AI skills in Claude Code to automate expert workflows for Azure SDK integrations, Odoo/Shopify configs, SEO audits, security pentests, full-stack scaffolding, agent building, and DevOps pipelines across Python, React, AWS, Kubernetes.

Generate comprehensive technical documentation, tutorials, and API references from codebase analysis. Automates architecture diagrams, OpenAPI specs, READMEs, user guides, step-by-step tutorials, and long-form ebooks for onboarding or production docs.

Analyze code for smells, SOLID violations, and performance issues, then automatically refactor with prioritized fixes. Assess technical debt across code, architecture, testing, and infrastructure to produce a remediation plan. Modernize legacy code safely using the strangler fig pattern, and review code for security vulnerabilities and production reliability.

Transforms Claude Code into a full-stack development assistant with curated expertise across 12 programming languages, major backend and frontend frameworks, DevOps tools, and software engineering practices—enabling code generation, debugging, architecture design, testing, and project management all from a single skill pack.

Orchestrate multi-perspective code reviews across architecture, security, performance, and best practices using specialized agents, with git diff analysis for PR descriptions.

Design and document backend architectures using patterns like Clean Architecture, Domain-Driven Design, microservices, and event sourcing with CQRS, while generating architecture diagrams and managing Architecture Decision Records (ADRs) with MADR templates.

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.

Delegate complex data engineering, ML, and AI workflows to specialized sub-agents that design scalable pipelines, build and optimize models, architect LLM systems, tune databases for performance, and deploy production infrastructure across clouds.

Enables Claude Code to conduct comprehensive security assessments across web applications, cloud infrastructure (AWS, Azure, GCP), and DevSecOps pipelines, including penetration testing, vulnerability scanning, privilege escalation, and audit reviews.

Diagnose performance bottlenecks, implement distributed tracing, and manage incident response with Prometheus, Grafana, OpenTelemetry, and Datadog. Define SLIs/SLOs, run blameless postmortems, and build production-ready observability pipelines for microservices and infrastructure.

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.

Provides structured guidance for executing cybersecurity operations across penetration testing, incident response, threat hunting, cloud security, and malware analysis, with step-by-step procedures and tool usage.

Delegate full-stack development workflows to Claude via 213 specialized agents, commands, and skills: refactor code, generate tests/deployments/Dockerfiles/K8s manifests, audit security/performance, document APIs/onboarding, orchestrate Git ops, and apply patterns across JS/TS/Python/Rust/Go/Java stacks.

Launch GPU/TPU clusters, training jobs, and inference servers across 25+ clouds using SkyPilot. Deploy to Kubernetes pods and Slurm jobs; debug YAML configs and optimize costs in your AI workflow.

Capture, decode, and analyze Kubernetes cluster network traffic for root cause analysis, forensic snapshots, PCAP extraction, and security threat detection using the Kubeshark MCP. Includes traffic filtering with the Kubeshark Filter Language (KFL2) and auditing against MITRE ATT&CK framework.

Tail, filter, and AI-analyze real-time logs from deployment platforms like AWS, Vercel, Kubernetes, Supabase, Docker, Cloudflare, Netlify in your terminal using Gonzo TUI. Automatically detects platforms, generates optimized pipe commands with normalizers, and configures AI for insights.

Generate 35 structured engineering artifacts — postmortems, runbooks, ADRs, PR descriptions, changelogs, SLO docs, threat models, test strategies, database plans, and onboarding guides — from rough notes, logs, or specs, following established SRE and software engineering conventions.

Generate production-ready Docker Compose YAML files for multi-container applications, configuring services, networks, volumes, health checks, resource limits, dependencies, and environment overrides for dev and prod workflows.

Manage the full lifecycle of Google ADK AI agents — scaffolding projects, writing agent code, running evaluations, deploying to Cloud Run or GKE, configuring observability, and registering agents with Gemini Enterprise.

Integrate secrets managers like Vault, AWS Secrets Manager, GCP Secret Manager, and Azure Key Vault into applications and infrastructure. Generate policies, auth configs, rotation schedules, Kubernetes manifests, retrieval code, setup scripts, and documentation from simple inputs.

Build production .NET backends with Akka.NET actors, Aspire orchestration, EF Core patterns, concurrency primitives, and Kubernetes clustering; run integration tests via TestContainers/Playwright; optimize performance/databases; analyze CRAP scores, benchmarks, and concurrency bugs using 61 skills and 11 agents.

Generate production-ready Kubernetes manifests for Deployments, Services, Ingresses, HPAs, ConfigMaps, and Secrets incorporating best practices like health probes, resource limits, autoscaling, and TLS termination to streamline cluster deployments.

Generate production-ready Helm 3 charts for Kubernetes apps from natural language descriptions. Produces Chart.yaml, values.yaml with multi-environment overrides, Go templates, helpers, health probes, security contexts, and applies best practices for scalability, security, and documentation.

Generate multi-stage CI/CD pipelines in YAML for GitHub Actions, GitLab CI, Jenkins, and CircleCI. Automate workflows covering linting, testing, Docker image builds/pushes, security scans, and gated deployments to staging/production on Kubernetes.

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.

Build and deploy production Documenso e-signature integrations in TypeScript/Node.js apps: create signing workflows and templates via SDK/API, configure webhooks and RBAC, set up CI/CD pipelines and Docker/K8s deployments, add monitoring/observability/security, handle errors/rate limits/migrations, and run local testing/diagnostics.

Build and deploy production-ready containerized multi-agent systems on Google Cloud using ADK templates. Scaffold Python projects with code structures, CI/CD pipelines, and deployment guides targeting Cloud Run, GKE, or Vertex AI Agent Engine. Get recommendations for architectures, tool contracts, and scaffolds.

Integrate Deepgram speech-to-text SDK into Node.js, TypeScript, or Python apps with production workflows for real-time streaming transcription, batch processing, diarization, cost optimization, security hardening, RBAC, Docker/Kubernetes deployment, CI/CD, monitoring, and migrations from AWS Transcribe or OpenAI Whisper.

Build production Evernote API integrations in JavaScript/Node.js apps using guided skills for note CRUD/search/webhooks, OAuth auth, rate limit handling, error debugging, data migration/sync, CI/CD pipelines, Docker/cloud deployments (AWS/GCP/K8s), monitoring/security, and performance optimization.

Implement full Customer.io integrations in Node.js/TypeScript apps: track events, send transactional emails and pushes, handle webhooks, manage segments and broadcasts, with skills for authentication, debugging errors, CI/CD deployment to AWS/GCP/Vercel/K8s, performance tuning, cost optimization, monitoring, security, reliability patterns, and load testing.

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.

Automated bug hunting and red-team engagement platform for web, cloud, mobile, and enterprise targets. Runs recon, vulnerability scanning, exploit chaining, and report generation across 70+ attack classes with slash commands and auto-loaded skill sets.

Deploy specialized AI agents to synthesize research from academic papers, web sources, and GitHub repos with citations; generate API docs, OpenAPI specs, and SDKs; transcribe, analyze, and optimize podcasts; modernize legacy code across React, Python, Java; build and link knowledge graphs; orchestrate multi-agent pipelines for complex tasks.

Set up automated metrics collection across compute, storage, network, containers, load balancers, and databases. Generate agent configurations, inventories, dashboards, alerts, and integrations with Prometheus, Datadog, or CloudWatch to enable performance monitoring and troubleshooting.

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.

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.

Test load balancing strategies by validating traffic distribution, health checks, failover, session persistence, and SSL on live NGINX, HAProxy, AWS ALB/NLB, GCP, and Kubernetes Ingress setups. Generate Jest test suites to verify these behaviors across backends.

Safely manage and execute rollbacks for Kubernetes, ECS, Lambda, and cloud VM deployments. Automatically detect failures via monitoring and health checks, revert to stable versions, verify recovery success, generate reports, and create templated documentation for rollback configurations.

Scan Docker images and Dockerfiles for vulnerabilities, misconfigurations, and compliance using Trivy, Grype, Snyk, and Hadolint. Generate remediation reports with CI/CD integration plus production-ready secure container configurations, setup code, and documentation.

Deploy full monitoring stacks like Prometheus, Grafana, or Datadog to Kubernetes or Docker environments, configuring exporters, scrape targets, alerting rules, and Grafana dashboards. Generate production-ready DevOps setup code and configurations tailored to your infrastructure requirements.

Automate full-lifecycle MaintainX CMMS integrations: manage work orders/assets/locations via TypeScript API clients, configure auth/RBAC/webhooks, implement CI/CD with GitHub Actions/Vitest, deploy to Docker/GCP/K8s, tune performance/costs/rate-limits, add monitoring/security/data syncs/ETL for production maintenance ops.

Generate Kubernetes NetworkPolicy manifests enforcing zero-trust networking via ingress/egress rules with pod labels, namespaces, CIDRs, and ports. Create production-ready configurations, setup code, and documentation matching your infrastructure and security requirements.

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.

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.

Deploy trained ML models to production via REST APIs, Docker containers, or Kubernetes clusters, with data validation, error handling, and performance monitoring. Generate deployment code, save artifacts, and create documentation from context analysis.

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.

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.

Design and execute chaos engineering experiments to inject failures like network latency, service crashes, resource exhaustion into Kubernetes clusters and Docker containers, validating distributed system resilience and recovery using tools like Chaos Mesh and AWS FIS.

Deploy centralized log aggregation stacks like ELK, Grafana Loki, or Splunk on Docker or Kubernetes, complete with shippers, parsing rules, retention policies, dashboards, alerting, and RBAC. Generate YAML configurations, feature lists, documentation, and code for DevOps logging infrastructure.

Automate intelligent YAML validation, linting, schema inference, normalization, and transformation for Kubernetes manifests, GitHub Actions workflows, and Docker Compose files. Receive minimal patches, detailed issues, and ready-to-run validation commands to fix configs quickly.

Delegate 117 specialized AI agents to handle diverse workflows like code reviews, security audits, API architecture, database optimization, frontend and backend development, cloud infrastructure design, academic research synthesis, performance tuning, testing automation, and deployment orchestration across multiple languages and stacks.

Design optimal ClickHouse schemas with MergeTree engines, ingest data at scale via Node.js/Python clients, run analytical queries, optimize performance and costs, secure deployments with RBAC and quotas, integrate CI/CD testing and monitoring, troubleshoot errors/incidents, and manage migrations/upgrades for production analytics workloads.

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.

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.

Develop full OneNote Graph API integrations in Python or TypeScript: perform CRUD on notebooks, sections, and pages; set up MSAL auth; debug errors and generate diagnostics; optimize for rate limits and performance; configure CI/CD pipelines, local mocks, Docker/K8s deployments, and production checklists.

Implement full Cohere AI v2 app lifecycle in TypeScript/Node.js: generate RAG pipelines with Embed/Rerank/Chat, tool-using agents, PII redaction for security, cost/performance tuning, Prometheus observability, GitHub Actions CI/CD, Vercel/GCP/K8s deployments, error debugging, and OpenAI migration paths using 24 dedicated skills.

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.

Deploy, debug, optimize, monitor, and secure GPU-accelerated ML inference and training workloads on CoreWeave Kubernetes clusters, including cost tuning, data handling, migrations from AWS/GCP/Azure, CI/CD automation, and production checklists.

Build, debug, secure, deploy, and scale production Anthropic Claude API integrations using 30 specialized skills for authentication, error diagnosis, cost/performance optimization, guardrails, CI/CD pipelines, observability, and architectures in Python and TypeScript.

Develop production Adobe API integrations for Firefly image generation, PDF processing, Photoshop editing, and I/O Events using 30 skills that automate OAuth setup, error debugging, CI/CD deployment, performance tuning, security hardening, cost monitoring, load testing, and webhook handling in Node.js/TypeScript/Python apps.

Debug Buttercup CRS deployments on Kubernetes by triaging pod crashes, restart loops, Redis failures, DinD issues, queues, and service problems in the crs namespace using kubectl events and logs.

Manage and monitor Datadog resources (monitors, logs, APM traces, dashboards, security signals, SLOs) via CLI commands and specialized agents, enabling observability workflows for infrastructure, applications, and CI/CD pipelines.

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.

Provides a comprehensive Rust development assistant with skills for coding guidelines, error diagnosis, refactoring, crate management, and domain-specific patterns (web, embedded, fintech, ML). Includes commands for security audits, clippy linting, documentation fetching, and news aggregation, plus agents for multi-layer code analysis and web fetching.

Manage Azure cloud resources end-to-end from Claude Code: provision VMs, AKS clusters, and container apps; deploy Bicep/Terraform infrastructure; diagnose service issues with AppLens; scan compliance and costs; configure RBAC, Entra ID auth, and AI gateways; and instrument app monitoring.

Delegate complex AI and data tasks to specialized agents that proactively build LLM applications with RAG and orchestration, design scalable ETL pipelines and warehouses, deploy MLOps workflows, optimize prompts, analyze datasets, manage context, and decompose goals into actionable hierarchies.

Delegate specialized AI agents to build secure Solidity smart contracts, DeFi protocols, and full Web3 apps including tests, gas optimization, audits, and frontend integration. Develop production Hyperledger Fabric v2.5/v3 enterprise blockchains with Go/Java/TypeScript chaincode, network architecture, Kubernetes deployments, Raft/SmartBFT consensus, channels, MSPs, and privacy features.

Set up CI/CD pipelines for GitHub Actions, GitLab, or Jenkins; containerize apps with Dockerfiles, docker-compose, and Kubernetes manifests; automate changelogs in Keep a Changelog format; prepare semantic releases; deploy hotfixes; and rollback deployments via slash commands.

Debug failing Kubernetes pods with kubectl by analyzing events, logs, status, resources, and configs to diagnose root causes with evidence and suggested fixes. Generate production-ready Kubernetes manifests (Deployment, Service, ConfigMap, Secret, Ingress, HPA) from Dockerfile, .env files, and docker-compose, including Kustomize overlays, validation, and best practices.

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.

Build, train, and deploy AI models on AWS SageMaker with deep ML expertise: validate datasets, fine-tune models (SFT, DPO, RLVR), generate Jupyter notebooks, evaluate model quality, and diagnose HyperPod cluster issues (NCCL, GPU, Slurm, EKS) — all from your coding assistant.

Perform authorized security testing, bug bounty hunting, and penetration testing across web, API, mobile, cloud, infrastructure, and smart contract environments. Includes reconnaissance, exploitation, authentication testing, and reporting automation.

Build cross-platform desktop and mobile applications with Tauri, covering core, system, network, mobile, data, UI, and security skills across 52 capabilities.

Generate production-ready Helm charts for Kubernetes app deployments by specifying name, type (web/API/worker/cronjob), and image, including Deployment, Service, Ingress, HPA, secrets, and validation. Upgrade existing releases with previews, dry-runs, linting, atomic deploys, rollout monitoring, health checks, logs, and automatic rollbacks on failure.

Generate DevOps automation scripts for CI/CD pipelines, deployments, and infrastructure tasks in GitHub Actions, GitLab CI, or shell formats with safety guards. Create health check scripts to verify service availability, standardize status reporting, set up alerting, enable cron or Kubernetes scheduling, and include documentation.

Automate full-stack deployment setup by generating tailored GitHub Actions CI/CD workflows with lint/test/build/deploy jobs, optimized multi-stage Dockerfiles for Node.js/Python/Go/Rust/Java projects, and production Kubernetes manifests including Deployment/Service/Ingress/HPA/NetworkPolicy.

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 the full data engineering lifecycle: author, test, debug, deploy, and monitor Apache Airflow DAGs; profile and query data warehouses; trace data lineage; migrate Airflow versions; and integrate dbt projects—all from the CLI.

Use gcx CLI to debug Grafana observability stacks: investigate alerts, SLO breaches, synthetic check failures via Prometheus metrics and Loki logs; manage dashboards, SLOs, resources with GitOps; scaffold Go projects; automate setups and code generation for resources-as-code.

Automate full-cycle Elixir/Phoenix/LiveView development: use /phx: commands and specialist agents to brainstorm/plan features, implement changes, audit architecture/performance/security, debug bugs/Ecto/Oban issues, review PRs, verify with mix tools/tests, compound solutions into docs, and deploy to Docker/Fly.io.

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.

Develop enterprise integrations on SAP BTP Integration Suite by building iFlows for cloud and on-premise connectivity, managing API proxies, implementing Event Mesh for event-driven architectures, deploying Edge Integration Cells for hybrid setups, configuring B2B/EDI adapters, and processing messages with Groovy or JavaScript.

Integrates 26 domain skills and 5 verification tools into a security-first full-stack engineering workflow, covering security scanning, threat modeling, Kubernetes hardening, multi-agent adversarial reviews, code quality checks, documentation drift detection, and output style formatting for Claude.

Set up SAP BTP accounts with entitlements and quotas, deploy multi-target applications to Cloud Foundry or Kyma environments, develop ABAP apps using RAP and CDS models, configure XSUAA identity providers and connectivity via destinations or Cloud Connector, operate with btp or CF CLI, and implement CI/CD pipelines for SAP solutions.

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.

Manage SAP BTP service instances, bindings, and brokers across Cloud Foundry, Kyma, and Kubernetes environments. Provision services using SMCTL CLI, BTP CLI, REST APIs with OAuth2 authentication, and Kubernetes ServiceInstance/ServiceBinding CRDs.

Plan and implement production-ready SAP BTP environments following enterprise best practices for account hierarchies, security configurations, authentication, CI/CD pipelines, governance models, failover strategies, and ongoing operations management.

Configure SAP BTP connectivity to link cloud apps with on-premise systems by setting up destinations for HTTP, RFC, LDAP, TCP, MAIL; deploying Cloud Connector and Kubernetes/Kyma proxies; implementing OAuth, principal propagation, and multitenancy; plus troubleshoot errors like 405, 407, 503.

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.

Orchestrate a fleet of 11 AI-powered QE agents to automate comprehensive quality engineering: generate unit/integration/E2E tests for Jest/Vitest/Playwright/Pytest, perform sublinear coverage analysis and gap prioritization, run chaos/resilience experiments on Docker/K8s, guide TDD workflows, benchmark performance, enforce git/CI quality gates, detect flakiness/security issues, and produce reports.

Conduct comprehensive security audits and incident response across cloud, API, mobile, and AI systems with pre-built skills for compliance, threat modeling, and red teaming.