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Deploying On Aws

Checked
ancoleman·vlatest·cloud·MIT

Provides AWS guidance and assistance for deploying and managing cloud infrastructure.

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 ancoleman/ai-design-components --skill deploying-on-aws -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

ancoleman

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 ancoleman/ai-design-components at 76551b7b19.

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

Commit
76551b7b19
Manifest
skills/deploying-on-aws/SKILL.md
Scanned
11 files, 5,883 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 deploy applications and infrastructure on Amazon Web Services (AWS). It automates tasks like creating EC2 instances, configuring security groups, and deploying containerized applications using services such as ECS or EKS. The agent can manage AWS resources based on provided configurations and specifications.

When to use it

  • Automating the deployment of a new microservice application to AWS.
  • Creating a development environment in AWS for testing purposes.
  • Scaling existing infrastructure by provisioning additional EC2 instances.
  • Deploying containerized applications using ECS or EKS.

Key capabilities

  • EC2 instance creation and management
  • Security group configuration
  • Deployment to ECS (Elastic Container Service)
  • Deployment to EKS (Elastic Kubernetes Service)

Example prompts

  • "Create an EC2 instance with 8GB of RAM in the us-east-1 region."
  • "Deploy this Docker image my-app:latest to a new ECS cluster named 'production'."
  • “Configure a security group allowing inbound traffic on port 80.”

Tips & gotchas

The agent requires appropriate AWS credentials and permissions to execute deployment tasks. Ensure the provided configurations are valid and compatible with your desired AWS resources and services.