Aws Cdk Python Setup
Published by github in awesome-copilot
What this skill does
Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS.
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add this skill "aws-cdk-python-setup" from https://github.com/github/awesome-copilotInstall with the CLI
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npx skills add https://github.com/github/awesome-copilot --skill aws-cdk-python-setupSkill instructions
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 pointmy_cdk_project/— CDK stack definitionsrequirements.txt— Python dependenciescdk.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 constructsconstructs— 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 diffbefore deployment to preview changes. - Use development accounts for testing.
- Follow Pythonic naming and directory conventions.
- Keep
requirements.txtpinned 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 doctorto diagnose environment issues.
Files included
- SKILL.md

