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Implement And Deploy

Checked
aleezanooor·vlatest·devops

Automates code implementation and deployment pipelines based on provided specifications, streamlining software releases.

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 aleezanooor/implement-and-deploy --skill implement-and-deploy -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

aleezanooor

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 aleezanooor/implement-and-deploy at 12023025cc.

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

Commit
12023025cc
Manifest
skills/implement-and-deploy/SKILL.md
Scanned
1 file, 104 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 allows an AI agent to take code, containerize it using Docker, and deploy it to a cloud environment. It handles building the Docker image, pushing it to a registry, and configuring deployment settings for platforms like AWS or Google Cloud. The skill streamlines the process of getting software running in production environments.

When to use it

  • You have a Python script that needs to be made available as an API endpoint.
  • You want to automate the deployment of a machine learning model to a cloud server.
  • A team member has written code and you need to quickly get it running in a scalable environment.
  • You are building a microservice architecture and require automated deployments for each service.

Key capabilities

  • Docker image creation
  • Container registry interaction (pushing images)
  • Cloud deployment configuration
  • Automated build process

Example prompts

  • "Deploy this Python script to AWS using Docker."
  • "Create a Docker image for my Node.js application and push it to Google Container Registry."
  • “Build and deploy this code as a containerized service.”

Tips & gotchas

The agent needs access to your cloud provider credentials (e.g., AWS keys, Google Cloud project ID) to perform deployments. Ensure the provided code is properly formatted and includes any necessary dependencies for successful image building.