aws-cdk-python-setup
作者: github
用於在 Python 中開發 AWS CDK(雲端開發套件)應用程式的設定與初始化指南。此技能讓使用者能夠配置環境…
npx skills add https://github.com/github/awesome-copilot --skill aws-cdk-python-setupAWS 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.
來自 github 的更多技能
console-rendering
github
在 Go 中使用基於結構體標籤的控制台渲染系統的說明
official
acquire-codebase-knowledge
github
當使用者明確要求對現有程式碼庫進行映射、文件化或入門引導時,使用此技能。觸發詞如「映射此程式碼庫」、「文件化…」等提示。
official
acreadiness-assess
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…
official
acreadiness-generate-instructions
github
透過 AgentRC 指令命令生成量身打造的 AI 代理指令檔案。產生 .github/copilot-instructions.md(預設,建議用於 VS Code 中的 Copilot…
official
acreadiness-policy
github
幫助使用者選取、撰寫或套用 AgentRC 政策。政策可透過停用不相關的檢查、覆寫影響/等級、設定…來自訂整備度評分。
official
add-educational-comments
github
為程式碼檔案添加教育性註解,將其轉化為有效的學習資源。根據三個可設定的知識層級(初學者、中級、進階)調整解釋深度與語氣。若未提供檔案,會自動請求提供,並以編號清單對應以便快速選取。僅透過教育性註解將檔案擴充最多125%(嚴格上限:400行新註解;超過1,000行的檔案上限為300行)。保留檔案編碼、縮排風格、語法正確性及……
official
adobe-illustrator-scripting
github
使用 ExtendScript (JavaScript/JSX) 編寫、除錯及最佳化 Adobe Illustrator 自動化腳本。適用於建立或修改操控…的腳本時。
official
agent-governance
github
宣告式政策、意圖分類與稽核軌跡,用於控制AI代理工具存取與行為。可組合的治理政策定義允許/封鎖的工具、內容過濾器、速率限制與核准要求——以配置而非程式碼形式儲存。語意意圖分類在工具執行前,透過基於模式的訊號偵測危險提示(資料外洩、權限提升、提示注入)。工具層級治理裝飾器在函式層級強制執行政策……
official