Devsecops Expert
by Sinu
Senior-level DevOps automation for CI/CD, IaC, Kubernetes, and production-ready GitOps pipelines.
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Works with the AI tools you already use
See it in action
You say
Update the production EKS node group to use the new AMI and v1.2.1 image. Provide a deployment risk assessment and the specific rollback command for Terraform.
Your agent does
Infrastructure Change Summary:
- Type: Terraform (AWS EKS)
- Risk: Medium (Node group update)
- Deployment Gate: Explicit approval required
- Rollback:
terraform apply -var="image_tag=v1.2.0" - Health Check:
kubectl get nodes --selector=eks.amazonaws.com/nodegroup=app-v2
What you get
About this skill
Professional DevOps Automation & Platform Engineering
The DevOps Engineer skill transforms your AI agent into a senior systems architect capable of building production-ready deployment systems. It solves the critical "it works on my machine" problem by enforcing deterministic builds, immutable artifacts, and GitOps-versioned infrastructure.
What it does
This skill provides high-fidelity implementation for the entire software delivery lifecycle. It doesn't just write scripts; it designs robust engineering systems. Key capabilities include:
- CI/CD & Repository Automation: Building sophisticated GitHub Actions, GitLab CI, and Jenkins pipelines with parallel testing and artifact promotion.
- Infrastructure as Code (IaC): Developing modular Terraform and Pulumi templates with explicit state management and change previews.
- Containerization & Orchestration: Crafting hardened Dockerfiles, Helm charts, and Kubernetes manifests focused on production readiness.
- Operational Excellence: Generating incident runbooks, rollback procedures, and deployment risk assessments.
Why use this skill?
Standard AI prompts often produce generic scripts that lack security gates or rollback paths. This skill enforces P0 Deployment Blocks: it refuses to commit secrets, rejects mutable 'latest' tags, and mandates explicit approval gates. It ensures your infrastructure is not just functional, but observable and recoverable.
Supported Ecosystem
Expert-level proficiency in AWS (ECS/EKS/Lambda), GCP (Cloud Run/GKE), Azure, GitHub Actions, Terraform, Pulumi, Docker, Helm, ArgoCD, and Prometheus/Grafana.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Verified clean 3 months ago
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Creator
38+ total installs · 2 skills on Agensi
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