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. Use when starting or setting up an AWS CDK project in Python.
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Attribution: Sourced from github/awesome-copilot by GitHub Community, licensed MIT. Modified for this collection.
This skill provides setup guidance for working with AWS CDK (Cloud Development Kit) projects using Python.
Before starting, ensure the following tools are installed:
npm install -g aws-cdk
cdk --version
# 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.
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# macOS/Linux
source .venv/bin/activate
# Windows
.venv\Scripts\activate
pip install -r requirements.txt
Primary dependencies:
aws-cdk-lib — Core CDK constructsconstructs — Base construct librarycdk synth
Generates cdk.out/ containing CloudFormation templates.
cdk deploy
Reviews and confirms deployment to the configured AWS account.
cdk bootstrap
Prepares environment resources like S3 buckets for asset storage.
cdk diff before deployment to preview changes.requirements.txt pinned for consistent builds.If issues occur, check:
cdk doctor to diagnose environment issues.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
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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 this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
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Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
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Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
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Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
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