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Deployment Pipeline Design

Checked
rmyndharis·vlatest·devops·MIT

Helps with deployment, pipeline automation, design as part of automating DevOps pipelines and CI/CD workflows workflows.

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 rmyndharis/antigravity-skills --skill deployment-pipeline-design -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

rmyndharis

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 rmyndharis/antigravity-skills at 3eff4af253.

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

Scanned
1 file, 341 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

This skill designs deployment pipelines, automating the process of releasing software changes. It focuses on creating efficient and reliable workflows for moving code from development to production environments. The design includes considerations for testing, security, and rollback strategies.

When to use it

  • You need a repeatable and automated way to deploy your application updates.
  • Your current deployment process is manual, error-prone, or takes too long.
  • You want to improve the reliability of your deployments by incorporating automated testing and validation steps.
  • You're introducing new technologies or platforms that require specific deployment considerations.

Key capabilities

  • Pipeline design based on provided requirements
  • Automated release workflows
  • Testing integration
  • Security considerations
  • Rollback strategy planning

Example prompts

  • "Design a deployment pipeline for a Node.js application using AWS."
  • "Create a CI/CD pipeline that includes automated testing and code quality checks."
  • “Outline a deployment process for a microservices architecture, including blue-green deployments.”

Tips & gotchas

The skill's output is a design; it does not execute the pipeline. You will need to implement the designed pipeline using appropriate tooling (e.g., Jenkins, GitLab CI/CD, GitHub Actions).