k8s-deploy
k8s-deploy provides deployment workflows for Kubernetes using kubectl-mcp-server tools, supporting standard deployments via manifests or Helm alongside progressive delivery through Argo Rollouts and Flagger. It covers canary promotions, blue-green strategies, rolling updates, scaling, and rollback operations across single and multi-cluster environments.
k8s-deploy handles Kubernetes workload deployments using progressive delivery strategies like canary and blue-green releases.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-04-08
k8s-deploy handles Kubernetes workload deployments using progressive delivery strategies like canary and blue-green releases. k8s-deploy provides deployment workflows for Kubernetes using kubectl-mcp-server tools, supporting standard deployments via manifests or Helm alongside progressive delivery through Argo Rollouts and Flagger. It covers canary promotions, blue-green strategies, rolling updates, scaling, and rollback operations across single and multi-cluster environments.
Use it when
- k8s-deploy enables canary and blue-green deployments through Argo Rollouts integration.
- Yes, k8s-deploy supports multi-cluster Kubernetes deployments.
Verify before relying
Read SKILL.md below before installing (6 files). Open directory: indexed for reading, not audited.
Install
rohitg00/kubectl-mcp-server/k8s-deploy · repository language: Python
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Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What deployment strategies does k8s-deploy support?
k8s-deploy supports multiple Kubernetes deployment strategies including standard deployments via manifests or Helm, progressive delivery through Argo Rollouts and Flagger, canary promotions, blue-green strategies, and rolling updates. These approaches enable safe, controlled rollouts with health verification and rollback capabilities.
How can I execute canary and blue-green deployments using k8s-deploy?
k8s-deploy enables canary and blue-green deployments through Argo Rollouts integration. You can configure progressive delivery strategies that gradually shift traffic between versions, monitor rollout health in real time, and automatically rollback if issues are detected. This ensures zero-downtime releases with minimal risk.
Can k8s-deploy deploy applications across multiple Kubernetes clusters?
Yes, k8s-deploy supports multi-cluster Kubernetes deployments. You can manage workloads across multiple cluster environments, enabling distributed application delivery and cluster-spanning release management strategies.
What should I do if a kubernetes deployment needs to be rolled back?
k8s-deploy provides rollback operations to safely revert failed deployments. You can abort failed rollouts and return to previous stable versions. The skill includes rollout status checking to verify deployment health and detect issues requiring rollback.
How does k8s-deploy handle scaling and updating Kubernetes pods?
k8s-deploy enables safe pod scaling and image updates through its deployment management capabilities. Combined with progressive delivery strategies, you can scale workloads and update container images while maintaining service availability and monitoring rollout progress.
What tools does k8s-deploy use for Kubernetes deployment workflows?
k8s-deploy leverages kubectl-mcp-server tools for deployment workflows, supporting manifest-based deployments, Helm chart deployments, and progressive delivery via Argo Rollouts and Flagger. It provides comprehensive release management across single and multi-cluster Kubernetes environments.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
Kubernetes Deployment Workflows
Comprehensive deployment strategies using kubectl-mcp-server tools, including Argo Rollouts and Flagger for progressive delivery.
When to Apply
Use this skill when: - User mentions: "deploy", "release", "rollout", "scale", "update", "upgrade" - Operations: creating deployments, updating images, scaling replicas - Strategies: canary, blue-green, rolling update, recreate - Keywords: "new version", "push to production", "traffic shifting"
Priority Rules
| Priority | Rule | Impact | Tools |
|---|---|---|---|
| 1 | Preview with template before apply | CRITICAL | template_helm_chart |
| 2 | Check existing state first | CRITICAL | get_pods, list_helm_releases |
| 3 | Use progressive delivery for prod | HIGH | rollout_* tools |
| 4 | Verify health after deployment | HIGH | get_pod_metrics, get_endpoints |
| 5 | Keep |
(truncated - see the full file via the links below)
File tree — 6 files
kubernetes-skills/claude/k8s-deploy/ROLLOUTS.md
kubernetes-skills/claude/k8s-deploy/SKILL.md
kubernetes-skills/claude/k8s-deploy/examples/blue-green.yaml
kubernetes-skills/claude/k8s-deploy/examples/canary-rollout.yaml
kubernetes-skills/claude/k8s-deploy/examples/hpa-deployment.yaml
kubernetes-skills/claude/k8s-deploy/references/STRATEGIES.md
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