Devsecops Expert is a skill that extends an AI agent with senior-level DevOps engineering knowledge covering the full software delivery lifecycle. It is designed to address deterministic builds, immutable artifacts, and GitOps-versioned infrastructure rather than producing generic one-off scripts.

For CI/CD automation, the skill enables an agent to design GitHub Actions, GitLab CI, and Jenkins pipelines that include parallel testing stages and artifact promotion workflows. On the infrastructure-as-code side, it covers modular Terraform and Pulumi templates with explicit state management and change previews before apply.

For containerization and orchestration, the skill supports authoring hardened Dockerfiles, Helm charts, and Kubernetes manifests oriented toward production readiness. It also generates operational artefacts such as incident runbooks, rollback procedures, and deployment risk assessments.

The skill enforces several constraints described as P0 Deployment Blocks: it refuses to include secrets in committed configuration, rejects mutable ‘latest’ container tags, and requires explicit approval gates before deployment steps. These constraints are built into how the skill responds, not left to the developer to add manually.

Platform coverage stated in the facts includes AWS (ECS, EKS, Lambda), GCP (Cloud Run, GKE), Azure, GitHub Actions, Terraform, Pulumi, Docker, Helm, ArgoCD, and Prometheus/Grafana. This skill is not an MCP server and exposes no callable tools; it operates as a knowledge and reasoning skill attached to an AI agent.

Use cases

Generate a multi-stage GitHub Actions pipeline with parallel test jobs and image promotion gates

Author modular Terraform modules with remote state configuration and plan previews

Produce hardened Dockerfiles that avoid mutable tags and strip unnecessary privileges

Create Helm charts and Kubernetes manifests for a production workload on EKS or GKE

Draft incident runbooks and rollback procedures for a deployment

Design an ArgoCD GitOps workflow with explicit approval gates for environment promotion

When to use it

When an agent needs to produce CI/CD pipeline definitions for GitHub Actions, GitLab CI, or Jenkins

When generating Terraform or Pulumi IaC that requires state management and change previews

When the task involves Kubernetes, Helm, or ArgoCD configuration for production environments

When operational artefacts such as rollback plans or deployment risk assessments are needed

When security constraints like secret exclusion and immutable artifact tags must be enforced automatically

When not to use it

When the requirement is runtime execution of deployment commands rather than generation of configuration and scripts

When the target platform is not AWS, GCP, or Azure and requires specialised tooling not covered by the stated facts

When a callable MCP tool interface is required, as this skill exposes no tools

When the task is purely application-layer code with no infrastructure or delivery pipeline concern