Cloud & DevOps Engineering
Software development skill, available on Zeplik
Cloud & DevOps Engineering is a ready-to-run software development skill on Zeplik. Not for cloud bill reduction (use cost-optimization) or GitHub Actions YAML (use github-actions-templates). Ask in plain language and Zeplik applies the skill's method for you inside the conversation, on whichever AI model you prefer.
The Cloud & DevOps Engineering skill loads automatically when your request matches it, or you can invoke it directly by typing /cloud-devops in any chat. It works with attachments, connectors, and any model that supports the task, so you get the same expert method every time without setting anything up.
What the Cloud & DevOps Engineering skill can do
- Design multi-stage CI/CD pipelines with approval gates and zero-downtime deploys
- Generate Terraform modules and Kubernetes manifests ready to paste into a repo
- Configure service meshes with Istio or Linkerd for traffic policies and mTLS
- Set up observability stacks with Prometheus, Grafana, and distributed tracing
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How the Cloud & DevOps Engineering skill works
/cloud-devops
Umbrella skill for cloud infrastructure and platform operations: designing infrastructure as code across AWS, GCP, Azure, and OCI, running Kubernetes in production, building deployment pipelines, wiring up service meshes, and standing up observability. The body of this skill is a dispatch table; the real depth lives in references/. Pick the reference(s) that match the user's intent, read them, then answer. This lane is about building and operating infrastructure -- not about reducing cloud spend (that is cost-optimization) and not about authoring GitHub Actions workflow YAML (that is github-actions-templates).
Dispatch table
| Intent | Reference |
|---|---|
| Multi-stage CI/CD pipeline design, approval gates, zero-downtime deploy strategy | references/deployment-pipeline-design.md (+ --details, --advanced-strategies) |
| GitLab CI pipelines, caching, runners, multi-stage workflows | references/gitlab-ci-patterns.md |
| On-prem to cloud connectivity, VPN, Direct Connect / dedicated links | references/hybrid-cloud-networking.md (+ --direct-connect) |
| Istio routing, load balancing, circuit breakers, canary traffic policies | references/istio-traffic-management.md |
| Linkerd setup, lightweight mesh, mesh traffic policies | references/linkerd-patterns.md |
| Mutual TLS, zero-trust service-to-service auth, certificate management | references/mtls-configuration.md (+ --details) |
| Multi-cloud service selection and integration across AWS/Azure/GCP/OCI | references/multi-cloud-architecture.md (+ --multi-cloud-patterns, --service-comparison) |
| Mesh metrics, tracing, and visualization for service meshes | references/service-mesh-observability.md (+ --details) |
| Reusable Terraform modules, IaC structure and best practices | references/terraform-module-library.md (+ --aws-modules, --oci-modules) |
| GitOps with ArgoCD or Flux, declarative K8s delivery, reconciliation | references/gitops-workflow.md (+ --argocd-setup, --sync-policies) |
| Helm chart structure, templating, packaging K8s apps | references/helm-chart-scaffolding.md (+ --chart-structure, --details) |
| Kubernetes manifests: Deployments, Services, ConfigMaps, Secrets | references/k8s-manifest-generator.md (+ --deployment-spec, --service-spec, --details) |
| K8s security: NetworkPolicy, Pod security, RBAC | references/k8s-security-policies.md (+ --rbac-patterns) |
| Distributed tracing with Jaeger/Tempo, cross-service request tracking | references/distributed-tracing.md (+ --details) |
| Grafana dashboard design and management | references/grafana-dashboards.md |
| Prometheus setup, scrape configs, recording rules, alerting | references/prometheus-configuration.md (+ --details) |
| SLIs, SLOs, error budgets, reliability alerting | references/slo-implementation.md (+ --details) |
How to work
- Identify the intent and read the matching reference file(s) before answering; load the
--companion files when the main reference points to them for depth. - If the target platform, cloud provider, or tool is ambiguous (for example "set up a mesh" without naming Istio or Linkerd, or "IaC" without a cloud), ask ONE clarifying question before going deep.
- Produce concrete artifacts for the user: full Terraform modules, Helm charts, manifests, pipeline definitions, or Prometheus configs they can paste into their repo. When a step requires access you do not have (a cluster, a cloud account), walk the user through the exact commands and what output to expect, and ask them to paste results back if verification matters.
- Combine references when the question spans areas (for example a GitOps rollout with canary traffic shifting touches gitops-workflow plus istio-traffic-management).
- Redirect out-of-lane requests: cloud bill reduction goes to cost-optimization; GitHub Actions workflow YAML goes to github-actions-templates.
Usage
/cloud-devops $ARGUMENTS
How to use the Cloud & DevOps Engineering skill
Sign in to Zeplik
Create a free Zeplik account or sign in. New accounts start with free credits, so you can try the Cloud & DevOps Engineering skill right away.
Describe your software development task
Ask in plain language, or type /cloud-devops to invoke the skill directly. Zeplik recognizes the Cloud & DevOps Engineering skill and applies its method.
Review and refine the result
Zeplik returns a clear, structured answer. Ask follow-ups in the same chat to refine it or take the next step.
Source and credit
- Author
- anthropic
- License
- MIT
Adapted from the open-source wshobson/agents project and tuned to run natively on Zeplik. View source on GitHub.
Frequently asked questions
- What is the Cloud & DevOps Engineering skill?
- Cloud & DevOps Engineering is a ready-to-run software development skill on Zeplik. Not for cloud bill reduction (use cost-optimization) or GitHub Actions YAML (use github-actions-templates). Ask in plain language and Zeplik applies the skill's method for you inside the conversation, on whichever AI model you prefer.
- How do I use Cloud & DevOps Engineering on Zeplik?
- Sign in to Zeplik and ask in plain language, or type /cloud-devops in any chat to invoke it directly. The skill applies its method and returns a result you can refine in the same conversation.
- Which AI model does the Cloud & DevOps Engineering skill use?
- Any model you choose. Zeplik works across every model in one chat, so the Cloud & DevOps Engineering skill runs on your preferred model for the task.
- Where does the Cloud & DevOps Engineering skill come from?
- The Cloud & DevOps Engineering skill is adapted from the open-source wshobson/agents project (MIT) and tuned to run natively on Zeplik. The original source is linked on this page.
- How much does the Cloud & DevOps Engineering skill cost?
- Using the skill is free to start. You only spend Zeplik credits when the assistant runs, and new accounts begin with free credits.
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