aws/agent-toolkit-for-aws

amazon-ses

Configures Amazon SES V2 for production email sending — including domain identity creation, DKIM/SPF/DMARC authentication, one-shot DNS record presentation, and Route 53 automation — for developers setting up or troubleshooting SES domain verification and d…

查看源码
仓库原始内容

按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。

Amazon SES

Recommended: Use the AWS MCP Server with SES permissions for sandboxed execution and CloudTrail audit logging. Without MCP: All operations use standard AWS CLI syntax (aws sesv2 ...).

Overview

This skill helps developers and DevOps engineers configure Amazon SES for production email sending. It targets users who are not email authentication experts — guiding them through complete domain setup following AWS best practices without requiring deep knowledge of DKIM, SPF, or DMARC.

Routing

If the user wants to...Read
Set up a domain for sending, configure email authentication, or troubleshoot DKIMSetting up SES domain identity

Security

  • Use IAM roles with ephemeral credentials (STS) — never long-lived access keys
  • Scope IAM permissions to specific SES actions per workflow (see reference files for required permissions)
  • Enable CloudTrail for SES API call auditing
  • DMARC p=none is monitoring only — plan progression to p=quarantine after confirming alignment
  • Never hardcode credentials, endpoints, or secrets in examples

Critical Rules

  • MUST create a domain identity (not email identity) for production sending
  • MUST configure custom MAIL FROM subdomain for SPF alignment
  • MUST configure DMARC TXT record (p=none minimum) for domain alignment
  • MUST present all DNS records together in one batch
  • MUST ask user for preferred MAIL FROM subdomain (do not assume a default)
  • SHOULD check if Route 53 hosts the domain and offer automatic DNS creation
  • SHOULD NOT claim 72-hour wait — verification typically completes in minutes once DNS propagates

Additional Resources

来自同一仓库

更多 Skills

全部 Skills
aws
官方

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.

安装量
1
GitHub Stars
2547
最近更新
9月4日
aws
官方

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.

安装量
1
GitHub Stars
2547
最近更新
9月4日
aws
官方

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.

安装量
1
GitHub Stars
2547
最近更新
9月4日
aws
官方

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.

安装量
1
GitHub Stars
2547
最近更新
9月4日