aws-cdk-python-setup

github/awesome-copilot · updated Apr 8, 2026

$npx skills add https://github.com/github/awesome-copilot --skill aws-cdk-python-setup
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summary

This skill provides setup guidance for working with AWS CDK (Cloud Development Kit) projects using Python.

skill.md

AWS CDK Python Setup Instructions

This skill provides setup guidance for working with AWS CDK (Cloud Development Kit) projects using Python.


Prerequisites

Before starting, ensure the following tools are installed:

  • Node.js ≥ 14.15.0 — Required for the AWS CDK CLI
  • Python ≥ 3.7 — Used for writing CDK code
  • AWS CLI — Manages credentials and resources
  • Git — Version control and project management

Installation Steps

1. Install AWS CDK CLI

npm install -g aws-cdk
cdk --version

2. Configure AWS Credentials

# Install AWS CLI (if not installed)
brew install awscli

# Configure credentials
aws configure

Enter your AWS Access Key, Secret Access Key, default region, and output format when prompted.

3. Create a New CDK Project

mkdir my-cdk-project
cd my-cdk-project
cdk init app --language python

Your project will include:

  • app.py — Main application entry point
  • my_cdk_project/ — CDK stack definitions
  • requirements.txt — Python dependencies
  • cdk.json — Configuration file

4. Set Up Python Virtual Environment

# macOS/Linux
source .venv/bin/activate

# Windows
.venv\Scripts\activate

5. Install Python Dependencies

pip install -r requirements.txt

Primary dependencies:

  • aws-cdk-lib — Core CDK constructs
  • constructs — Base construct library

Development Workflow

Synthesize CloudFormation Templates

cdk synth

Generates cdk.out/ containing CloudFormation templates.

Deploy Stacks to AWS

cdk deploy

Reviews and confirms deployment to the configured AWS account.

Bootstrap (First Deployment Only)

cdk bootstrap

Prepares environment resources like S3 buckets for asset storage.


Best Practices

  • Always activate the virtual environment before working.
  • Run cdk diff before deployment to preview changes.
  • Use development accounts for testing.
  • Follow Pythonic naming and directory conventions.
  • Keep requirements.txt pinned for consistent builds.

Troubleshooting Tips

If issues occur, check:

  • AWS credentials are correctly configured.
  • Default region is set properly.
  • Node.js and Python versions meet minimum requirements.
  • Run cdk doctor to diagnose environment issues.

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.532 reviews
  • Ama Haddad· Dec 12, 2024

    Registry listing for aws-cdk-python-setup matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Nia Sanchez· Dec 4, 2024

    aws-cdk-python-setup reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kabir Lopez· Nov 23, 2024

    I recommend aws-cdk-python-setup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Noah Reddy· Nov 3, 2024

    Useful defaults in aws-cdk-python-setup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Kwame Robinson· Oct 22, 2024

    I recommend aws-cdk-python-setup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Aarav Abebe· Oct 14, 2024

    Useful defaults in aws-cdk-python-setup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Yash Thakker· Sep 21, 2024

    aws-cdk-python-setup has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hana Khanna· Sep 5, 2024

    Keeps context tight: aws-cdk-python-setup is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Rahul Santra· Sep 1, 2024

    aws-cdk-python-setup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sofia Agarwal· Aug 24, 2024

    aws-cdk-python-setup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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