aws-cdk-python-setupот github

Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment…

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

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.

Больше skills от github

console-rendering
by github
Instructions for using the struct tag-based console rendering system in Go
acquire-codebase-knowledge
by github
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document…
acreadiness-assess
by github
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc…
acreadiness-generate-instructions
by github
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS…
acreadiness-policy
by github
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting…
add-educational-comments
by github
Add educational comments to code files to transform them into effective learning resources. Adapts explanation depth and tone to three configurable knowledge levels: beginner, intermediate, and advanced Automatically requests a file if none is provided, with numbered list matching for quick selection Expands files by up to 125% using educational comments only (hard limit: 400 new lines; 300 for files over 1,000 lines) Preserves file encoding, indentation style, syntax correctness, and...
adobe-illustrator-scripting
by github
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate…
agent-governance
by github
Declarative policies, intent classification, and audit trails for controlling AI agent tool access and behavior. Composable governance policies define allowed/blocked tools, content filters, rate limits, and approval requirements — stored as configuration, not code Semantic intent classification detects dangerous prompts (data exfiltration, privilege escalation, prompt injection) before tool execution using pattern-based signals Tool-level governance decorator enforces policies at function...

NotebookLM Web Importer

Импортируйте веб-страницы и видео YouTube в NotebookLM одним кликом. Более 200 000 пользователей доверяют нам.

Установить расширение Chrome