aws-cdk-python-setup
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.
Best use case
aws-cdk-python-setup is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using aws-cdk-python-setup should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/aws-cdk-python-setup/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How aws-cdk-python-setup Compares
| Feature / Agent | aws-cdk-python-setup | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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 ```bash npm install -g aws-cdk cdk --version ``` ### 2. Configure AWS Credentials ```bash # 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 ```bash 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 ```bash # macOS/Linux source .venv/bin/activate # Windows .venv\Scripts\activate ``` ### 5. Install Python Dependencies ```bash pip install -r requirements.txt ``` Primary dependencies: - `aws-cdk-lib` — Core CDK constructs - `constructs` — Base construct library --- ## Development Workflow ### Synthesize CloudFormation Templates ```bash cdk synth ``` Generates `cdk.out/` containing CloudFormation templates. ### Deploy Stacks to AWS ```bash cdk deploy ``` Reviews and confirms deployment to the configured AWS account. ### Bootstrap (First Deployment Only) ```bash 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.
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