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Deployment Pipeline Design

Checked
lifangda·vlatest·devops·MIT

Helps with deployment, pipeline automation, design 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 lifangda/claude-plugins --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

lifangda

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 lifangda/claude-plugins at 76d90e8304.

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

Commit
76d90e8304
Manifest
cli-tool/skills-library/cicd-automation/deployment-pipeline-design/SKILL.md
Scanned
1 file, 336 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 helps design deployment pipelines. It can assist in outlining stages, defining triggers, and suggesting tools for continuous integration and continuous delivery (CI/CD). The goal is to automate software releases and ensure consistent deployments across different environments.

When to use it

  • You're starting a new project and need help structuring your CI/CD pipeline.
  • Your existing deployment process is manual or error-prone, and you want to automate it.
  • You’re looking for suggestions on tools and technologies suitable for your specific development workflow.
  • You want to optimize an existing pipeline for speed, reliability, or security.

Key capabilities

  • Pipeline stage definition
  • Trigger identification (e.g., code commits, scheduled events)
  • Tool selection recommendations for CI/CD tasks
  • Environment configuration suggestions

Example prompts

  • "Design a deployment pipeline for a Node.js application using AWS."
  • "What are the key stages in a typical CI/CD pipeline?"
  • "Suggest tools for automated testing within a deployment pipeline."

Tips & gotchas

The skill's output is based on general best practices; you may need to adapt its suggestions to your specific infrastructure and security requirements. Providing details about your existing tech stack will yield more tailored recommendations.