docker-and-kubernetes-pro
Container orchestration expert for Docker, Kubernetes, and cloud-native deployments
Best use case
docker-and-kubernetes-pro is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Container orchestration expert for Docker, Kubernetes, and cloud-native deployments
Teams using docker-and-kubernetes-pro should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/docker-kubernetes-pro/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How docker-and-kubernetes-pro Compares
| Feature / Agent | docker-and-kubernetes-pro | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Container orchestration expert for Docker, Kubernetes, and cloud-native deployments
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Docker and Kubernetes Pro > **Status**: ✅ Research complete > **Last validated**: 2025-11-08 > **Confidence**: 🟡 Medium — Research-backed platform guide – review quarterly ## How to use this skill 1. Review [modules/core-guidance.md](modules/core-guidance.md) to scope workloads, platform constraints, and SLAs. 2. Establish image and cluster baselines via [modules/platform-foundations.md](modules/platform-foundations.md). 3. Design rollout strategy with [modules/deployment-patterns.md](modules/deployment-patterns.md). 4. Harden supply chain and runtime using [modules/security-and-compliance.md](modules/security-and-compliance.md). 5. Implement monitoring, autoscaling, and ops workflows from [modules/observability-and-operations.md](modules/observability-and-operations.md). 6. Track open research in [modules/known-gaps.md](modules/known-gaps.md) and refresh quarterly with [modules/research-checklist.md](modules/research-checklist.md). ## Module overview - [Core guidance](modules/core-guidance.md) — intake checklist, platform fit analysis, stakeholder alignment. - [Platform foundations](modules/platform-foundations.md) — container image build hygiene, registries, cluster architecture. - [Deployment patterns](modules/deployment-patterns.md) — manifests, GitOps, rollout strategies, multi-environment setup. - [Security & compliance](modules/security-and-compliance.md) — supply chain, policy-as-code, runtime security. - [Observability & operations](modules/observability-and-operations.md) — monitoring, autoscaling, cost controls, incident response. - [Known gaps](modules/known-gaps.md) — research backlog. - [Research checklist](modules/research-checklist.md) — quarterly refresh workflow. ## Research status - Content aligned with Kubernetes 1.30, latest OCI image guidance, and major managed Kubernetes providers. - Next review due 2026-02-01 or sooner if Kubernetes 1.31 introduces breaking changes. - Known gaps focus on serverless container platforms and WASM workloads pending deeper validation.
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