aws/agent-toolkit-for-aws

aws-blocks

Guides building full-stack applications with AWS Blocks — an Infrastructure-from-Code framework.

Voir la source
Document Skill original

Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.

AWS Blocks Application Development

Package naming: All packages are published under the @aws-blocks scope (e.g., @aws-blocks/core, @aws-blocks/blocks, @aws-blocks/bb-kv-store).

Overview

AWS Blocks is an Infrastructure-from-Code framework where Building Blocks bundle CDK, SDK, and local mocks into a single API. It provides 18+ Building Blocks covering storage, authentication, real-time communication, background jobs, file management, AI/search, email, and observability — all working locally without AWS credentials.

Key characteristics:

  • One aws-blocks/ directory defines the entire backend
  • Frontend imports are fully typed — no client generation needed
  • All Building Blocks work locally without AWS (mocks persist to .bb-data/)
  • Deploy ephemeral, individual testing environments with npm run sandbox and long-lived environments with npm run deploy using least-privilege credentials

Scaffolding a New Project

bash
npx @aws-blocks/create-blocks-app my-app
cd my-app

To add AWS Blocks to an existing project:

bash
npx @aws-blocks/create-blocks-app .

This detects the existing project and adds an aws-blocks/ workspace alongside your code.

To add AWS Blocks to an Amplify Gen 2 project:

bash
npx @aws-blocks/create-blocks-app .

When the CLI detects amplify/backend.ts, it automatically integrates AWS Blocks with your Amplify backend.

With a specific template:

bash
npx @aws-blocks/create-blocks-app my-app --template demo
cd my-app

Available Templates

TemplateDescription
defaultVite + lit-html starter app with basic authentication, data persistence, and realtime to help demonstrate basic app architecture and patterns (used when --template is omitted)
bareVite + lit-html starter with a single "hello world" API method and a bare frontend
reactReact + Vite starter with a single API endpoint and typed React frontend
backendBackend-only — no frontend, just the AWS Blocks API with a single endpoint
demoTodo app with AuthBasic, KVStore, DistributedTable, Zod schemas, indexes, and auth-protected CRUD
auth-cognitoFull AuthCognito passwordless email-OTP with roles, device management, and Authenticator UI
nextjsNext.js + React starter with AWS Blocks backend integration (SSR + Server Components)

Development Workflow

After scaffolding, refer to node_modules/@aws-blocks/blocks/README.md for the complete development workflow including:

  • Core concepts (Architecture, Building Block selection)
  • Project structure and Scope organization
  • Error handling patterns
  • Schema validation
  • Local development
  • Best practices and common mistakes
  • Deployment IAM role setup and security guidance

When implementing a specific Building Block, read its package README for the detailed API reference (e.g., node_modules/@aws-blocks/bb-kv-store/README.md). These are the authoritative docs for your installed version.

Security Considerations

  • Use await auth.requireAuth(context) in every method that shouldn't be public — ApiNamespace methods are unauthenticated by default
  • Use new AppSetting(scope, id, { secret: true }) for API keys and credentials — never hardcode or use .env files
  • Always attach a schema to KVStore/AppSetting that accepts user data — the RPC layer validates structure but not business logic
  • Do not add broad * IAM policies — each Building Block already grants least-privilege scoped to its own resources
  • Never change blockPublicAccess on FileBucket — serve public files through CloudFront instead
  • Configure CORS_ALLOWED_ORIGINS explicitly for production — avoid wildcards
  • For cross-domain deployments, pass crossDomain: true to auth constructors (enables SameSite=None; Secure; Partitioned)
  • Enable monitoring: { enabled: true, snsTopicArn: '...' } on Hosting for production alerts
  • Add WAF and API Gateway throttling via CDK for public-facing apps — not included by default
  • Logger provides serialization safety (circular refs, type coercion) but does NOT redact sensitive content — never pass raw credentials, tokens, or secrets to Logger methods; sanitize context objects before logging
du même dépôt

Autres Skills

Tous les Skills
aws
Officiel

amazon-aurora-mysql

- Amazon Aurora MySQL — creates, modifies, and advises on Aurora MySQL clusters specifically (MySQL-compatible engine, Aurora serverless, parallel query). Trigger for Aurora MySQL cluster operations, ACU sizing, I/O-Optimized storage, commitment pricing, or MySQL upgrade planning. Aurora MySQL uses full (VPC-based) configuration — express configuration is PostgreSQL-only. For Aurora PostgreSQL, use amazon-aurora-postgresql instead. Contains safety guardrails and response templates that override defaults.

installations
1
GitHub Stars
2,5 k
Mis à jour
4 sept.
aws
Officiel

amazon-aurora-postgresql

- Amazon Aurora PostgreSQL — creates, modifies, and advises on Aurora PostgreSQL clusters specifically (PostgreSQL-compatible engine, Aurora serverless, express configuration, pgvector, Babelfish). Trigger for Aurora PostgreSQL cluster operations, express-configuration quick-start, ACU sizing, I/O-Optimized storage, commitment pricing, or PostgreSQL upgrade planning. For Aurora MySQL, use amazon-aurora-mysql instead. Contains safety guardrails, express-first routing, and response templates that override defaults.

installations
1
GitHub Stars
2,5 k
Mis à jour
4 sept.
aws
Officiel

amazon-bedrock

Builds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore (including the Harness managed agent loop). Use when invoking models, setting up Knowledge Bases, creating agents, applying guardrails, deploying to AgentCore, migrating/porting/converting a Bedrock Agent (including inline agents) to an AgentCore Harness, troubleshooting Bedrock errors (ThrottlingException, AccessDeniedException), or choosing models (Claude, Llama, Nova, Titan). ALSO USE for prompt caching, quota health checks and throttling diagnosis, cost attribution, migrating between Claude model generations, chunking strategies, API selection (Converse vs InvokeModel), and model selection. Also covers AgentCore Payments setup (x402, microtransactions, Payment Manager, Coinbase CDP, Stripe Privy, 402 Payment Required, paid endpoint). NOT for custom model training, Rekognition, or Comprehend.

installations
1
GitHub Stars
2,5 k
Mis à jour
4 sept.
aws
Officiel

amazon-braket

Runs quantum computing workflows on AWS through Amazon Braket — discovering devices (QPUs and simulators) and their availability, building gate-model circuits and analog Hamiltonian programs, submitting quantum tasks, program sets and hybrid jobs, looking up prices, and capping spend with spending limits. Applies to any request about quantum computing, quantum hardware, quantum simulation, AHS, OpenQASM, or running a quantum algorithm on AWS.

installations
1
GitHub Stars
2,5 k
Mis à jour
4 sept.