Kubernetes plugins

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.

Run comprehensive security analysis: SAST vulnerability detection across multiple languages, dependency scanning with automated remediation, threat modeling (STRIDE/attack trees), container and cloud security hardening, and compliance checks (OWASP Top 10, GDPR/HIPAA/SOC2) — all automated through CLI commands and agents.

Design, deploy, and manage multi-cloud infrastructure across AWS, Azure, GCP, and OCI using Terraform, Kubernetes, and service mesh. Optimize costs, secure hybrid networking, and implement GitOps workflows for cloud-native deployments.

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.

Accelerate full-stack development with 66 specialized skills covering 12 languages, frontend/backend frameworks, infrastructure, DevOps, security, and testing, plus Jira/Confluence project management commands for epic planning, discovery, and retrospectives.

Designs and generates multi-platform CI/CD pipelines for GitHub Actions and GitLab CI, automating multi-stage builds, Docker and Kubernetes deployments, Terraform infrastructure provisioning, secrets management, and GitOps workflows.

Orchestrates end-to-end full-stack feature development with specialized agents for architecture, implementation, testing, security, performance, and deployment, using an API-first approach and interactive checkpoints.

Ship production infrastructure faster using AWS serverless, Kubernetes, Terraform, and Docker patterns with safe deployment strategies, GitOps workflows, and environment setup guidance.

Build and automate end-to-end ML pipelines including data ingestion, feature engineering, model training, deployment, and monitoring, with multi-agent orchestration across cloud platforms and production ML infrastructure.

Conduct full-spectrum security assessments: audit web apps with Burp Suite, test cloud infrastructure across AWS/GCP, enumerate Linux systems for privilege escalation, and apply OWASP threat modeling with DevSecOps compliance review.

Implement production observability with Prometheus metrics, Grafana RED/USE dashboards, distributed tracing via Jaeger/Tempo, and SLO/error-budget management. Includes agents for performance profiling, database tuning, and network optimization.

Run comprehensive compliance audits against GDPR, HIPAA, SOC2, and PCI-DSS frameworks, with actionable implementation guidance and DevSecOps pipeline integration for security vulnerability assessment and threat modeling. Includes OWASP standards, OAuth2/OIDC authentication review, and cloud security checks for Docker, Kubernetes, and AWS environments. Designed for proactive security auditing and regulatory compliance implementation.

Generate Kubernetes manifests, Helm charts, and security policies; implement GitOps workflows with ArgoCD or Flux for automated, declarative deployments across major cloud providers.

Design and automate deployment pipelines with CI/CD, GitOps, and infrastructure-as-code. Covers zero-downtime deployments, rollback automation, container security, and multi-cloud Terraform patterns.

Set up, monitor, and optimize production systems with distributed tracing, SLI/SLO management, incident response, and performance profiling using Prometheus, Grafana, OpenTelemetry, and other observability tools.

Validate application configuration files for security, consistency, and correctness across environments, and design multi-cloud infrastructure with IaC (Terraform/CDK) and cost optimization.

Orchestrate production incident response with structured runbooks, multi-agent triage and debugging, blameless postmortems, and on-call shift handoffs. Automate detection, investigation, mitigation, and learning from incidents using SRE practices and observability tools.

End-to-end AI and data engineering suite covering data pipelines, ML model development, LLM architecture, MLOps, database optimization, and prompt engineering for production systems.

Manage cloud infrastructure, deployment pipelines, and production operations across AWS, Azure, and GCP with specialized agents for Terraform, Kubernetes, CI/CD, incident response, security hardening, and database administration.

Debug distributed microservices by tracing requests across services, analyzing logs, and correlating errors to identify root causes. Set up distributed tracing, diagnose production incidents, and optimize performance using Kubernetes, Docker, and observability tools.

Implement production-grade observability and monitoring with distributed tracing, SLI/SLO management, incident response, performance optimization, and postmortem writing.

Conduct comprehensive security assessments and penetration testing across web applications, APIs, cloud infrastructure, and Linux systems, using OWASP methodologies, SAST scanning, and threat modeling for DevSecOps.

Accelerate cloud infrastructure management and DevOps operations with skills for AWS serverless, Kubernetes, Docker, Terraform, CI/CD with GitHub Actions, production deployment strategies, incident response, and observability using Prometheus, Grafana, and Datadog.

Expert-level observability, incident response, and SRE capabilities for diagnosing production issues, implementing monitoring and tracing with Prometheus, Grafana, Datadog, and OpenTelemetry, conducting post-incident reviews, and managing SLIs/SLOs.

Deploy and manage cloud infrastructure with automated CI/CD pipelines, container orchestration (Docker, Kubernetes), and infrastructure-as-code (Terraform). Includes AWS serverless patterns, environment setup, and production deployment best practices.

Run a full security engineering workflow: web app penetration testing with Burp Suite, cloud infrastructure assessment on AWS/GCP, Linux privilege escalation, DevSecOps auditing for Docker/Kubernetes, threat modeling with STRIDE/PASTA, and OWASP-based vulnerability analysis.

Design multi-stage CI/CD pipelines with approval gates, security checks, and orchestration for zero-downtime deployments, canary rollouts, and multi-environment promotion. Debug failed deployment gates and implement GitOps practices.

Generate production-ready Kubernetes YAML manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards.

Design, organize, and manage Helm charts for Kubernetes application packaging and templated deployments, enabling reusable configurations and streamlined chart scaffolding.

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 and manage GPU/TPU/CPU workloads across 25+ cloud providers, Kubernetes, and Slurm clusters with built-in cost optimization, autoscaling, and support for training, fine-tuning, and inference serving.

Build GitLab CI/CD pipelines with multi-stage workflows, Docker builds, Kubernetes deployments, and Terraform integration for automated testing, building, and deployment.

Generate production-ready GitHub Actions workflows for CI/CD pipelines, including automated testing, Docker image building, and Kubernetes deployment, with reusable templates for development automation.

Observe, filter, and debug Kubernetes network traffic in real time with packet inspection, PCAP extraction, and L7 API dissection, plus root cause analysis and security threat detection via Kubeshark MCP.

Generate structured rollout plans for infrastructure and application changes, guiding teams through preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans.

Automate Kubernetes deployments with GitOps workflows using ArgoCD and Flux for declarative infrastructure management and continuous reconciliation

Guides implementation of Kubernetes security policies including NetworkPolicy, PodSecurity, and RBAC for production-grade cluster security, network isolation, and pod security enforcement.

Configure Linkerd service mesh on Kubernetes with patterns for traffic policies and zero-trust networking, enabling lightweight, security-focused service mesh deployments.

Configure Istio traffic management policies for Kubernetes service meshes, including routing, load balancing, circuit breakers, and canary deployments to implement progressive delivery and resilience patterns.

Orchestrate full-spectrum bug bounty hunting and external red-team engagements across web, mobile, cloud, and infrastructure targets with 80+ specialized skills for vulnerability detection, recon, exploit chaining, and report generation.

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.

500+ skills covering testing, performance, data engineering, cloud infrastructure (AWS, GCP), API development, documentation, DevOps, security, frontend, backend, machine learning, and business automation. Accelerates development workflows by providing step-by-step guidance, code generation, and best practices across the full software lifecycle.

Generate production-ready Docker Compose configurations for multi-container applications with services, networks, volumes, health checks, resource limits, and environment-specific overrides for development and production.

Generate production-ready Helm 3 charts for Kubernetes applications with Chart.yaml, values.yaml, Go templates, health probes, security contexts, and multi-environment overrides

Develop, deploy, and maintain Anthropic Claude API integrations across the full lifecycle: setup, coding patterns, streaming, tool use, cost optimization, security, monitoring, CI/CD, and production deployment.

Generate and manage secrets manager integrations for Vault and AWS/GCP/Azure, including policy generation, auth configs, rotation schedules, Kubernetes manifests, and retrieval code.

Generate multi-platform CI/CD pipeline configurations (GitHub Actions, GitLab CI, Jenkins, CircleCI, Azure DevOps) with caching, matrix builds, secrets management, and deployment gates using natural language commands like 'deploy application' or 'create pipeline'

Orchestrate authorized penetration tests and red team engagements with 50 specialist subagents covering recon, web/API, Active Directory, cloud, mobile, wireless, exploitation, post-exploitation, detection, forensics, and reporting.

Generate production-ready Kubernetes manifests (Deployments, Services, Ingress, HPA, ConfigMaps, Secrets, StatefulSets, NetworkPolicies) with health checks, resource limits, and best-practice deployment strategies.

Develop, deploy, and maintain Intercom integrations with skills for API development, CI/CD, monitoring, security, compliance, and migration from other platforms.

Construct GitOps workflows for Kubernetes using ArgoCD or Flux, generating manifests, sync policies, multi-environment promotion, RBAC, notifications, and CI updates for secure continuous deployment.

Manage environment configurations and secrets across dev/staging/prod deployments, generating setup code and config files for DevOps infrastructure with support for Kubernetes ConfigMaps/Secrets, AWS SSM, encryption via sops, schema validation, drift detection, and promotion workflows.

Manage and optimize GPU workloads on CoreWeave's Kubernetes cloud: deploy inference services, run distributed training, monitor GPU health, control costs, and secure multi-team access.

Manage Microsoft Azure infrastructure end-to-end: provision resources with Bicep/Terraform, deploy apps via Azure Developer CLI, monitor with Application Insights, debug production issues, audit compliance, optimize costs, and interact with AI services including OpenAI, Search, and Speech.

Generate production-grade engineering design diagrams (architecture, sequence, delta, drift) as self-contained dark-themed HTML files with inline SVG, grounded in real repo topology via Docker, Kubernetes, Terraform, and import graph analysis.

Manage container registries across Docker Hub, AWS ECR, GCP Artifact Registry, Azure ACR, and Harbor. Automate tagging, lifecycle policies, replication, image scanning, and access control, and generate production-ready configurations for your infrastructure.

Orchestrate complex multi-stage deployment pipelines across dev/staging/prod with Kubernetes and CI/CD platforms, implementing strategies like blue-green, canary, and rolling updates.

Provision production infrastructure for Genkit applications using Terraform, including Firebase Functions, Cloud Run, GKE, Secret Manager, and monitoring dashboards

Deploy ML models to production with automated containerization, API endpoint creation, monitoring, and CI/CD integration. Also executes AI/ML tasks with intelligent code generation, validation, and performance metrics.

Integrate and manage Cohere API v2 across the full development lifecycle—from SDK setup and local mocking to production deployment, monitoring, and incident response. Includes RAG pipelines, tool-using agents, cost optimization, security compliance, rate limiting, and migration from OpenAI/Anthropic or Cohere v1.

Manage and operate Oracle Cloud Infrastructure (OCI) end-to-end: provision compute, networking, storage, databases, and Kubernetes clusters; configure CI/CD pipelines, IAM policies, monitoring, and cost optimization; debug API errors, handle rate limits, and migrate from AWS/Azure.

Validate load balancer configurations by generating Jest test suites that verify traffic distribution, failover handling, sticky sessions, and health checks across backends for NGINX, HAProxy, AWS ALB/NLB, GCP, and Kubernetes Ingress.

Develop OneNote integrations using the Microsoft Graph API, handling CRUD operations, authentication, error handling, rate limiting, and deployment to Docker/Kubernetes.

Build, deploy, and maintain Apollo.io sales intelligence integrations with full lifecycle support: authentication, search/enrichment, email sequences, webhooks, rate limiting, caching, monitoring, CI/CD, and compliance.

Generate Kubernetes NetworkPolicy manifests and firewall rule configurations for zero-trust networking, defining ingress/egress rules with pod labels, namespaces, CIDRs, and ports following production best practices.

Generate production-ready auto-scaling configurations for AWS, GCP, Azure, and Kubernetes clusters with Terraform, YAML, or CLI outputs, including metric thresholds and cooldown settings.

Audit infrastructure configurations against SOC 2, HIPAA, and PCI-DSS compliance frameworks using policy-as-code tools, then generate remediation patches and secure production-ready configs for Terraform, Kubernetes, and cloud environments.

Develop, debug, deploy, and monitor Customer.io marketing automation integrations with Node.js and TypeScript, covering CI/CD pipelines, multi-environment setups, cost optimization, security (PII, webhook HMAC), and performance (rate limiting, caching) with observability via Prometheus and Grafana.

Integrate and manage Deepgram speech-to-text and voice AI services across the full development lifecycle—from SDK setup and authentication to production deployment, monitoring, cost optimization, and migration from competing providers.

Integrate Mistral AI into your development and production workflows with skills for API setup, chat completions, embeddings, RAG, security best practices, CI/CD, deployment, observability, cost optimization, and migration from other LLM providers.

Deploy production-ready monitoring stacks (Prometheus, Grafana, Datadog) on Kubernetes or Docker with exporters, alerting rules, and pre-built dashboards, while also generating configuration code.

Debug, deploy, and optimize Adobe API integrations (Firefly, PDF Services, I/O Events) with authentication setup, CI/CD pipelines, error handling, cost monitoring, and security best practices.

Researches infrastructure best practices and generates deployment-ready Terraform modules, Dockerfiles, and CI/CD pipelines for GCP, AWS, and Azure, automating the path from research to production.

Configure Istio, Linkerd, or Consul Connect service meshes on Kubernetes by generating mTLS, traffic routing, resilience policies, and observability configurations from natural language prompts.

Manage and execute deployment rollbacks with safety checks across Kubernetes, ECS, Lambda, and cloud VM deployments. Detects failures via monitoring and health checks, reverts to stable versions, verifies success, and generates rollback configurations.

Validates, lints, and fixes YAML configuration files for Kubernetes, Docker Compose, and GitHub Actions. Infers schemas, normalizes formatting, and detects risky patterns like incorrect indentation or anchor misuse to prevent deployment errors.

Integrate with the MaintainX CMMS API to manage work orders, assets, and locations; handle authentication, error debugging, and rate limits; sync, transform, and export data between MaintainX and external systems; set up CI/CD pipelines, local development loops, and production deployments with Docker, GCP, or Kubernetes.

Scan container images and Dockerfiles for vulnerabilities, misconfigurations, and compliance using Trivy, Grype, Snyk, and Hadolint, with generated reports and remediation steps.

Deploy and configure centralized log aggregation stacks (ELK, Grafana Loki, Splunk) with shippers, parsing rules, retention policies, dashboards, alerting, and RBAC on Docker or Kubernetes, or generate production-ready configs following best practices.

Scan cloud, container, and infrastructure configurations (Terraform, CloudFormation, Kubernetes, Docker, AWS) for security misconfigurations mapped to OWASP and CIS benchmarks.

Orchestrate multi-agent workflows with conditional routing and data aggregation, design and deploy production-ready MCP servers with Docker/Kubernetes, and manage agent templates for prompt engineering and quality assurance.

Manage and optimize Kubernetes clusters with Cast AI: deploy agents, configure autoscaling policies, enforce cost checks in CI/CD, query savings reports, handle API rate limits, and secure cluster access.

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.

Triage and debug Buttercup CRS deployments on Kubernetes, including pod crashes, restart loops, Redis failures, resource pressure, and DinD issues, with log analysis and queue inspection for the crs namespace.

Deploy, manage, and troubleshoot cloud infrastructure, databases, and DevOps pipelines using specialized AI agents for architecture design, Terraform automation, database administration, performance optimization, CI/CD, incident response, and network debugging.

Provides comprehensive Rust development assistance: resolves ownership/borrow/lifetime errors, guides crate selection and integration, enforces coding guidelines, generates crate documentation skills from docs.rs, runs clippy and safety audits, visualizes dependency trees and call graphs, and offers domain-specific patterns for web services, CLI, embedded, fintech, IoT, and ML/AI.

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.

Accelerate blockchain development with agents that help write and audit Solidity smart contracts, and build Hyperledger Fabric chaincode with enterprise network architecture.

Automate the entire CI/CD lifecycle: set up pipelines, containerize applications, manage releases with changelogs and versioning, run emergency hotfixes, roll back deployments, and configure Kubernetes manifests.

Enforces a PDCA (Plan-Do-Check-Act) quality gate workflow for AI-generated code, verifying implementation against design specs with automated agents, audit trails, and level-based trust controls. Includes fullstack project scaffolding, sprint management, Zero Script QA via structured logs, and deployment pipelines.

Automate AWS cloud operations with AI agent skills for managing compute, storage, databases, networking, security, monitoring, serverless, and event-driven architectures.

End-to-end SageMaker AI model lifecycle management: validate datasets, select and fine-tune models (SFT, DPO, RLVR, RLAIF), deploy to SageMaker endpoints or Bedrock, diagnose HyperPod cluster and NCCL failures, and evaluate model quality — all through natural-language instructions.

Manage the full Elastic stack lifecycle from Claude Code: provision and configure Elastic Cloud projects, query and analyze data with ES|QL, manage security (RBAC, audit logs, authentication), create Kibana dashboards and alerts, instrument applications with OpenTelemetry, triage security alerts, and investigate Kubernetes and LLM performance.

Manage the full lifecycle of Apache Airflow data pipelines: explore warehouses, profile databases, author DAGs, trace lineage, migrate between versions, and deploy to production using Astronomer's CLI, dbt Cosmos, and multi-language SDKs.

Debug failing Kubernetes pods by analyzing events, logs, and configuration, and generate production-ready manifests (Deployment, Service, ConfigMap, Secret, Ingress, HPA) with Kustomize overlays for multi-environment deployment.

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.