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Gitlab Cicd Pipeline

Listed
aj-geddes·vlatest·devops·MIT

Helps with CI/CD, pipeline automation 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 aj-geddes/useful-ai-prompts --skill gitlab-cicd-pipeline -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

aj-geddes

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.

  • No credential access: failed

    Touches credential material in 2 places.

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

    What it found

    • skills/gitlab-cicd-pipeline/references/kubernetes-deployment.md:12Kubernetes credentials
      - echo $KUBE_CONFIG_ENCODED | base64 -d > $HOME/.kube/config
    • skills/gitlab-cicd-pipeline/references/kubernetes-deployment.md:13Kubernetes credentials
      - chmod 600 $HOME/.kube/config

  • 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 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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/gitlab-cicd-pipeline/SKILL.md
Scanned
8 files, 452 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 enables AI agents to generate, modify, and validate GitLab CI/CD pipeline configurations directly within the repository. It automates the creation of .gitlab-ci.yml files tailored to specific project requirements, ensuring consistent build and deployment workflows without manual coding.

When to use it

  • Onboarding new projects that require immediate CI/CD infrastructure setup.
  • Refactoring existing pipelines to adopt new GitLab features or security standards.
  • Generating test matrix configurations for multi-environment deployments.
  • Validating pipeline syntax before committing changes to the main branch.

Key capabilities

  • Generates complete .gitlab-ci.yml files from scratch based on project type.
  • Supports custom stages, jobs, and variables configuration.
  • Integrates with existing GitLab runner environments for execution.
  • Provides syntax validation to prevent pipeline failures.

Example prompts

  • "Create a GitLab CI pipeline for a Node.js application that runs tests on pull requests and deploys to staging on merge."
  • "Update my existing .gitlab-ci.yml to include Docker caching and parallel job execution."
  • "Generate a multi-stage pipeline for a Python microservices project with separate build, test, and deploy stages."

Tips & gotchas

Ensure your GitLab instance has runners configured for the languages or tools specified in the generated jobs. Always review the generated YAML syntax against your specific runner versions to avoid compatibility issues.