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Aws Cdk Development

Checked
commandcodeai·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 commandcodeai/agent-skills --skill aws-cdk-development -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

commandcodeai

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

    Only contacts known or declared hosts: github.com.

    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.

    Hosts contacted

    github.comsource host

  • 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 commandcodeai/agent-skills at f490dd9016.

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

Commit
f490dd9016
Manifest
skills/aws-cdk-development/SKILL.md
Scanned
3 files, 890 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 deploy infrastructure as code using AWS Cloud Development Kit (CDK). It can create CDK applications from scratch, add new resources to existing stacks, or update configurations based on user instructions. The agent leverages CDK's Python API for efficient cloud resource provisioning.

When to use it

  • Automated Infrastructure Creation: Quickly generate the initial structure of an AWS CDK application with pre-defined components.
  • Resource Modification: Add new services (like databases or load balancers) to existing CDK stacks without manual code editing.
  • Configuration Updates: Modify existing CDK configurations, such as instance sizes or security group rules, based on specific requirements.
  • Deployment Assistance: Guide the deployment process of CDK applications, handling potential errors and providing feedback.

Key capabilities

  • CDK application generation
  • Resource addition to stacks
  • Configuration modification within CDK code
  • Python API utilization for CDK interactions
  • Deployment guidance

Example prompts

  • "Create a new AWS CDK stack with an S3 bucket and a Lambda function."
  • "Add a DynamoDB table to my existing VPC-based CDK application."
  • "Increase the instance size of the EC2 instances in my CDK deployment from t2.micro to t3.medium."

Tips & gotchas

  • Requires familiarity with AWS Cloud Development Kit (CDK) concepts and Python programming.
  • The agent's effectiveness depends on clear and specific instructions regarding desired infrastructure changes.