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construtor-cdk-aws

Construtor de infraestrutura AWS CDK usando TypeScript com construtos L2/L3 e padrões Well-Architected. Ativar em: AWS CDK, construto CDK, pilha CDK, pipeline CDK, AWS infraestrutura como código TypeScript, construto L2, padrões CDK. NÃO para: Terraform IaC (use terraform-module-builder), manifestos Kubernetes (use kubernetes-manifest-generator), serverless framework (use devops-automator).

O que é construtor-cdk-aws?

Este skill capacita o agente de IA a construir e gerenciar infraestrutura AWS usando o AWS CDK com TypeScript, focando em construtos L2 e L3 e padrões do Well-Architected Framework. Ele é ativado por gatilhos como "AWS CDK", "construto CDK", "pilha CDK", "pipeline CDK", "infraestrutura AWS como código TypeScript" e "padrões CDK", garantindo que o agente saiba quando aplicá-lo. O skill oferece diretrizes desde a inicialização de um app CDK (com `npx cdk init app --language typescript`) até a organização de pilhas entre stateless e stateful, o uso de construtos de alto nível, a adição do cdk-nag para verificação de conformidade e a implementação de pipelines CDK auto-mutáveis. Suporta plataformas como CDK 2.180+, bibliotecas de construtos, AWS Lambda, API Gateway, ECS Fargate, S3, CloudFront, e práticas de CI/CD com CodePipeline e self-mutation. O skill também documenta anti-padrões, como o uso excessivo de construtos L1, pilhas monolíticas e a ausência de cdk-nag, e inclui uma checklist de qualidade para garantir segurança, portabilidade e observabilidade. Resumindo, é um guia completo e prático para desenvolvedores que desejam implementar infraestrutura como código robusta, segura e alinhada com as melhores práticas da AWS.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/curiositech/windags-skills/tree/HEAD/skills/aws-cdk-builder

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Documentação

Construtor AWS CDK

Especialista em construir infraestrutura AWS usando CDK com TypeScript, aproveitando construtos L2/L3 e padrões do Well-Architected Framework.

Gatilhos de Ativação

Ativar em: "AWS CDK", "construto CDK", "pilha CDK", "pipeline CDK", "AWS IaC TypeScript", "construto L2", "padrões CDK", "cdk deploy", "cdk synth"

NÃO para: Terraform IaC → terraform-module-builder | Manifestos Kubernetes → kubernetes-manifest-generator | Serverless Framework → devops-automator

Início Rápido

  1. Inicializar app CDK — npx cdk init app --language typescript
  2. Projetar estrutura de pilhas — separar stateful (bancos de dados, buckets) de stateless (computação, APIs)
  3. Usar construtos L2 — preferir construtos de alto nível em vez de recursos L1 do CloudFormation
  4. Adicionar CDK Nag — verificação automatizada de conformidade com o Well-Architected
  5. Fazer deploy com CDK Pipelines — pipeline CI/CD auto-mutável

Capacidades Principais

DomínioTecnologias
Núcleo CDKCDK 2.180+, Biblioteca Constructs, CLI CDK, cdk.json
Construtos L2/L3aws-lambda, aws-apigateway, aws-ecs-patterns, aws-rds
Conformidadecdk-nag (packs AwsSolutions, NIST, HIPAA, PCI)
CI/CDCDK Pipelines, CodePipeline, CodeBuild, auto-mutação
PadrõesPadrões ECS Fargate, API Gateway + Lambda, S3 + CloudFront

Padrões de Arquitetura

Organização de Pilhas (Stateful vs Stateless)

// bin/app.ts — app de nível superior com separação de ambiente
const app = new cdk.App();

// Pilha Stateful — raramente muda, cuidado com atualizações
const dataStack = new DataStack(app, 'Data-Prod', {
  env: { account: '123456789', region: 'us-east-1' },
});

// Pilha Stateless — implantada com frequência, segura para destruir/recriar
const apiStack = new ApiStack(app, 'Api-Prod', {
  env: { account: '123456789', region: 'us-east-1' },
  database: dataStack.database,
  bucket: dataStack.bucket,
});

// Pilha de Pipeline — CI/CD auto-mutável
new PipelineStack(app, 'Pipeline', {
  env: { account: '123456789', region: 'us-east-1' },
});

Construto L2 com Melhores Práticas

// lib/api-stack.ts
export class ApiStack extends cdk.Stack {
  constructor(scope: Construct, id: string, props: ApiStackProps) {
    super(scope, id, props);

    const handler = new lambda.Function(this, 'Handler', {
      runtime: lambda.Runtime.NODEJS_22_X,
      handler: 'index.handler',
      code: lambda.Code.fromAsset('lambda/'),
      memorySize: 256,
      timeout: cdk.Duration.seconds(30),
      tracing: lambda.Tracing.ACTIVE,       // X-Ray
      insightsVersion: lambda.LambdaInsightsVersion.VERSION_1_0_229_0,
      environment: {
        TABLE_NAME: props.table.tableName,
        POWERTOOLS_SERVICE_NAME: 'api',     // Lambda Powertools
      },
    });

    props.table.grantReadWriteData(handler); // Menor privilégio

    const api = new apigw.RestApi(this, 'Api', {
      deployOptions: {
        tracingEnabled: true,
        metricsEnabled: true,
        throttlingRateLimit: 1000,
        throttlingBurstLimit: 500,
      },
    });

    api.root.addResource('items').addMethod('GET',
      new apigw.LambdaIntegration(handler));
  }
}

CDK Pipelines (Auto-Mutável)

Origem (GitHub) → Synth (cdk synth) → Auto-Mutação
    │                                      │
    ▼                                      ▼
UpdatePipeline ─── Deploy Staging ─── Aprovação Manual ─── Deploy Prod
                        │                                      │
                    Testes de Integração                   Testes de Fumaça

Anti-Padrões

  1. Construtos L1 em toda parte — usar CfnBucket em vez de s3.Bucket. Construtos L2 codificam boas práticas (criptografia, logging, controle de acesso) por padrão.
  2. Pilhas monolíticas — uma pilha com mais de 200 recursos atinge limites do CloudFormation e faz deploy lentamente. Divida em pilhas stateful/stateless com referências entre pilhas.
  3. Falta de cdk-nag — fazer deploy sem verificações de conformidade. Adicione Aspects.of(app).add(new AwsSolutionsChecks()) para capturar problemas de segurança pré-deploy.
  4. Account/região hardcoded — account: '123456789' no código do construto. Use contexto cdk.json ou consulta cdk.Environment para portabilidade.
  5. Sem testes de snapshot — CDK gera templates CloudFormation que mudam inesperadamente. Adicione testes expect(template).toMatchSnapshot() para detectar alterações não intencionais.

Checklist de Qualidade

[ ] Pilhas separadas: stateful (dados) vs stateless (computação)
[ ] Construtos L2/L3 usados (não CloudFormation L1 puro)
[ ] cdk-nag habilitado com pack AwsSolutions
[ ] Testes de snapshot para todas as pilhas
[ ] CDK Pipelines para CI/CD auto-mutável
[ ] IAM com menor privilégio via métodos grant (grantRead, grantWrite)
[ ] cdk synth produz CloudFormation válido
[ ] Referências entre pilhas usam saídas exportadas
[ ] Políticas de remoção definidas (RETAIN para dados de produção, DESTROY para dev)
[ ] Tags aplicadas via Aspects para alocação de custos
[ ] cdk diff revisado antes de cada deploy
[ ] Funções Lambda usam Powertools para observabilidade

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

curiositech/windags-skills

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

curiositech/windags-skills

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

curiositech/windags-skills

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

curiositech/windags-skills

Implement WCAG 2.2 AA/AAA compliance with automated testing, keyboard navigation, screen reader support, and focus management. Activate on: accessibility audit, WCAG compliance, keyboard navigation, screen reader, aria attributes, axe-core, focus trap. NOT for: design-level accessibility review (use design-accessibility-auditor), color contrast only (use css-in-js-architect).

curiositech/windags-skills

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

curiositech/windags-skills

Designs digital experiences for ADHD brains using neuroscience research and UX principles. Expert in reducing cognitive load, time blindness solutions, dopamine-driven engagement, and compassionate design patterns. Activate on 'ADHD design', 'cognitive load', 'accessibility', 'neurodivergent UX', 'time blindness', 'dopamine-driven', 'executive function'. NOT for general accessibility (WCAG only), neurotypical UX design, or simple UI styling without ADHD context.

curiositech/windags-skills

>- Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

curiositech/windags-skills

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

curiositech/windags-skills

Conversation patterns and interaction protocols for multi-agent systems. Covers request/response, pub/sub, blackboard, delegation chains, debate, critique, consensus, fan-out/fan-in, supervisor-worker, and peer negotiation. Deep analysis of AutoGen conversation patterns, CrewAI delegation, LangGraph state passing, and FIPA-ACL performatives. Teaches how to design what agents say to each other and in what order. Activate on: "agent conversation", "agent protocol", "multi-agent debate", "agent delegation", "supervisor worker pattern", "agent voting", "consensus protocol", "fan-out fan-in", "agent negotiation", "blackboard pattern", "agent dialogue", "conversation topology", "agent handoff". NOT for: wire format or serialization (use agent-interchange-formats), orchestration infrastructure (use agentic-infrastructure-2026), single agent behavior (use agentic-patterns).

curiositech/windags-skills

Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).

curiositech/windags-skills

AI-powered calendar management and agent-based scheduling coordination. Covers calendar APIs (Google Calendar, CalDAV/iCal), AI scheduling assistants (Reclaim, Clockwise, Motion, Cal.com), building custom calendar agents with MCP, multi-calendar merging, timezone management, focus block protection, meeting fatigue detection, and agent-to-agent meeting negotiation protocols. Activate on: "calendar agent", "AI scheduling", "calendar coordination", "meeting scheduling", "calendar API", "focus time protection", "calendar optimization", "Google Calendar MCP", "Reclaim", "Clockwise", "Motion", "Cal.com", "smart scheduling", "calendar-aware agent", "timezone scheduling", "agent negotiation meetings". NOT for: manual calendar UI component design (use form-validation-architect), project management scheduling or Gantt charts (use project-management-guru-adhd), general time-tracking or pomodoro apps (use adhd-daily-planner for time-awareness), building the agent itself from scratch (use agent-creator).

curiositech/windags-skills

Build and adopt production AI agent infrastructure in 2026. Covers framework selection (LangGraph, CrewAI, AutoGen, MCP), orchestration patterns, evaluation, observability, memory systems, and tool use. Also covers the SOCIAL dimension: how to sell agent infrastructure internally, change management, measuring ROI, building trust in autonomous systems, and scaling adoption across teams. Activate on: "agent infrastructure", "agent framework comparison", "which agent framework", "sell AI tools internally", "agent adoption", "agent observability", "agent evaluation", "MCP architecture", "agentic mesh", "enterprise AI agents", "AI change management", "agent ROI". NOT for: building specific agents (use ai-engineer), designing agent behavior patterns (use agentic-patterns), prompt tuning (use prompt-engineer).

curiositech/windags-skills

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

curiositech/windags-skills

Automated discovery and matching of agent skills for dynamic task routing and capability assessment

curiositech/windags-skills

Cryptographic security for agentic systems — zero-trust agent networking, signed message envelopes (JWS/JWE), capability-based security (ocaps), Merkle tree audit trails, WASM sandboxing, and formal verification. Covers CLI dev tool security, mTLS between agents, permission boundaries (least privilege for AI agents), and supply chain security for skills/plugins. Activate on: "agent security", "zero trust agents", "secure agent communication", "capability-based security", "ocap", "signed messages between agents", "agent audit trail", "sandbox agent execution", "agent permissions", "mTLS agents", "cryptographic verification", "agent supply chain", "OWASP agentic", "prove agent did X", "tamper-proof agent logs". NOT for: application-level SAST scanning (use security-auditor), network firewall rules (use infrastructure), SOC2/HIPAA compliance (organizational), or prompt injection defense (use prompt-engineer).

curiositech/windags-skills

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

curiositech/windags-skills

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

curiositech/windags-skills

>- Design AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.

curiositech/windags-skills

Foundational concurrent computation model where actors communicate exclusively through asynchronous message passing

curiositech/windags-skills

license: Apache-2.0 NOT for unrelated tasks outside this domain.

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