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Deployment Pipeline Design

Listed
sickn33·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 sickn33/agentic-awesome-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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/agentic-awesome-skills at c808e6e480.

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

Scanned
0 files
Copies in repo
3 — all of them scanned
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 enables AI agents to architect, configure, and optimize automated software delivery workflows. It handles the full lifecycle of moving code from development environments to production, ensuring reliability and speed in continuous integration and deployment processes.

When to use it

  • Automating the build, test, and release cycles for microservices or monolithic applications.
  • Designing resilient CI/CD pipelines that include security scanning and compliance checks.
  • Migrating legacy deployment strategies to modern containerized or serverless architectures.
  • Troubleshooting failed builds or rollback procedures in complex distributed systems.

Key capabilities

  • Pipeline orchestration across multiple stages (build, test, deploy).
  • Integration with version control systems for automated triggers.
  • Configuration management for environment-specific variables and secrets.
  • Rollback mechanisms and artifact storage handling.
  • Security validation gates within the deployment flow.

Example prompts

  • "Design a CI/CD pipeline for a Node.js application using Docker and Kubernetes."
  • "Create a deployment strategy that automatically rolls back if health checks fail after release."
  • "Optimize my current Jenkins pipeline to reduce build times by parallelizing test suites."

Tips & gotchas

Ensure your source code repository has proper access controls before automating deployments. Always validate environment variables and secret management tools are correctly configured to prevent credential leaks in production pipelines.