Devsecops Expert

    4

    Senior-level DevOps automation for CI/CD, IaC, Kubernetes, and production-ready GitOps pipelines.

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    12 usesSecurity scanned

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    devsecops-expert

    Example session with this skill installed

    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.

    • Read your context and instructions
    • Compiled the devsecops-expert

    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

    Connects securely to your tools. The creator never sees your data.

    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.

    • Does not perform live cloud credentials management.
    • Lacks real-time monitoring data without external tool integration.
    • Requires user-provided secrets for CI/CD execution.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Security scanned

    Checked by our 8-point scan before listing

    12 uses

    Times used to date

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scan

    Security scan passed 6 months ago

    Accounts
    GitHub
    Software
    Node.jsPython

    Permissions

    Network Access
    Environment Variables

    Allowed Hosts

    github.com
    app.example.com
    Listed6 months ago
    Updated24 days ago

    What's inside

    Frequently Asked Questions

    This skill goes beyond basic scripting by enforcing production-grade standards, such as secret masking, immutable tagging, and mandatory approval gates to prevent deployment failures.

    It is compatible with all major LLMs (like GPT-4 and Claude 3.5) and can be integrated into any developer environment or agent platform that supports custom system instructions and API tools.

    You receive the high-fidelity system prompt, a set of standardized IaC/CI templates, and a detailed integration guide to connect the skill to your existing agentic workflow.

    The skill is cloud-agnostic and provides expert-level workflows for AWS, GCP, and Azure, with specific support for managed services like EKS, GKE, and serverless architectures.

    Setup is a simple copy-paste integration; once added to your agent's configuration, you can immediately begin generating production-ready pipelines and IaC manifests.

    Customers receive lifetime access to version updates, ensuring that your automation remains compatible with the latest releases of Terraform, Kubernetes, and GitHub Actions.

    New in DevOps & Cloud