Aws Cdk Development
技能 已验证 活跃AWS Cloud Development Kit (CDK) 专家,用于使用 TypeScript/Python 构建云基础设施。在创建 CDK 堆栈、定义 CDK 构造、实现基础设施即代码,或当用户提及 CDK、CloudFormation、IaC、cdk synth、cdk deploy,或希望以编程方式定义 AWS 基础设施时使用。涵盖 CDK 应用结构、构造模式、堆栈组合和部署工作流。
赋能开发者使用 AWS CDK 以编程方式高效地构建、验证和部署 AWS 云基础设施。
功能
- CDK 最佳实践和模式
- 集成 AWS 文档 MCP
- 集成 AWS CDK MCP 服务器
- 部署前验证脚本
- 堆栈组织和测试指导
使用场景
- 创建新的 CDK 堆栈和构造
- 使用 TypeScript/Python 实现基础设施即代码
- 部署前验证 CDK 配置
- 学习和应用 AWS CDK 最佳实践
非目标
- 在用户启动前直接部署或管理云资源
- 替代 AWS CDK CLI 或 AWS 控制台
- 提供关于非 AWS 云平台的指导
安装
请先添加 Marketplace
/plugin marketplace add zxkane/aws-skills/plugin install aws-cdk@aws-skills质量评分
已验证类似扩展
Cleanup Cycles
100Detect and untangle circular dependencies. Runs madge/skott (TS), pycycle (Py), or compiler-only checks (Go/Rust). Auto-fixes leaf-extractable cycles; reports core cycles for human review. Use when the user asks to find circular imports, fix dependency cycles, or untangle module graph. Example queries — "find circular imports", "fix dependency cycles", "untangle our module graph", "why is madge complaining".
Provision Infrastructure Terraform
99Provision and manage cloud infrastructure using Terraform with HCL modules, remote state backends, workspaces, and plan/apply workflow. Implement infrastructure as code patterns with variable management, output values, and state locking for team collaboration. Use when provisioning new cloud infrastructure, migrating from ClickOps or CloudFormation to declarative IaC, managing multi-environment infrastructure, versioning infrastructure changes alongside application code, or enforcing standards through reusable modules.
Terraform Engineer
99Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development (create reusable modules, manage module versioning), state management (migrate backends, import existing resources, resolve state conflicts), provider configuration, multi-environment workflows, and infrastructure testing.
Terraform
99Terraform infrastructure-as-code workflow patterns: state and environments, module design, safe plan/apply, drift control, and CI guardrails
Cost Optimization
98Optimize cloud costs across AWS, Azure, GCP, and OCI through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.
Aws Agentic Ai
98AWS Bedrock AgentCore 全面的专家,用于大规模部署和管理 AI 代理。在使用任何 AgentCore 服务(包括 Gateway、Runtime、Memory、Identity、Code Interpreter、Browser、Observability、Agent Registry 或 Evaluations)时使用。涵盖代理部署、MCP 工具集成、凭证管理、代理发现、治理工作流和自动化质量评估。当用户提及 AgentCore、agent runtime、agent registry、agent evaluation、MCP gateway、deploy agent、register MCP server、discover agents、evaluate agent quality、agent credentials,或希望在 AWS 上构建、部署、编目或监控 AI 代理时,此扩展至关重要。