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Cicd Pipeline Setup

Checked
aj-geddes·vlatest·devops·MIT

Helps with CI/CD, pipeline automation, setup and configuration 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 cicd-pipeline-setup -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 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 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/cicd-pipeline-setup/SKILL.md
Scanned
7 files, 537 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 automatically configure Continuous Integration and Continuous Deployment (CI/CD) workflows for software projects. It handles the creation of pipeline definitions, integration with version control systems, and setup of deployment stages to automate testing and release processes.

When to use it

  • Automating the build and test phases for a new microservice repository.
  • Setting up automated deployment triggers when code is pushed to a staging branch.
  • Configuring multi-stage pipelines that move applications from development through production environments.
  • Establishing secure artifact management and release versioning protocols.

Key capabilities

  • Generates pipeline configuration files (e.g., GitHub Actions, GitLab CI, Jenkinsfiles).
  • Integrates with popular code hosting platforms for trigger-based execution.
  • Defines sequential build, test, and deployment stages within a single workflow.
  • Manages environment-specific variables and secrets securely within the pipeline context.

Example prompts

"Create a GitHub Actions workflow that runs unit tests on every push to the main branch and deploys the latest version to AWS S3 upon merging." "Set up a GitLab CI pipeline that builds a Docker image, pushes it to a registry, and triggers a Kubernetes deployment in the staging namespace." "Configure a Jenkinsfile for an automated release process that validates code changes, runs integration tests, and deploys the application to production after approval."

Tips & gotchas

Ensure your AI agent has access to the necessary repository credentials and cloud provider API keys before attempting pipeline configuration. Always review generated pipeline scripts in a staging environment first to prevent unintended deployments or security risks.