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Devops Plan

Checked
majesticlabs-dev·vlatest·devops

Helps with DevOps, planning as part of automating DevOps pipelines and CI/CD workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add majesticlabs-dev/majestic-marketplace --skill devops-plan -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

majesticlabs-dev

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned majesticlabs-dev/majestic-marketplace at 04e97708c2.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
04e97708c2
Manifest
plugins/majestic-devops/skills/devops-plan/SKILL.md
Scanned
1 file, 101 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The devops-plan skill enables AI agents to generate comprehensive DevOps plans. It can create detailed deployment strategies, including infrastructure provisioning and configuration management steps. The generated plans aim to automate the process of setting up and maintaining software deployments within a development pipeline.

When to use it

  • New Project Setup: Generate an initial DevOps plan for a new software project, outlining the necessary tools and processes.
  • Migration Planning: Create a plan for migrating existing applications or infrastructure to a new environment or platform.
  • Automation of Deployments: Develop detailed steps for automating deployments across various environments (development, staging, production).
  • Standardizing Processes: Generate consistent DevOps plans to ensure standardized deployment practices across multiple teams and projects.

Key capabilities

  • Infrastructure provisioning
  • Configuration management
  • Deployment strategy generation
  • Detailed step-by-step plan creation

Example prompts

  • "Create a DevOps plan for deploying a Python application using Docker and Kubernetes."
  • "Generate a deployment strategy to migrate our legacy Java application to AWS ECS."
  • “Outline the steps needed to automate deployments to our staging environment.”

Tips & gotchas

The quality of the generated plan depends on the specificity of your prompt. Providing details about the target technology stack and desired outcomes will yield more useful results.