AWS | Amazon Web Services

Setup

On first use, read setup.md for integration options. The skill works immediately — setup is optional for personalization.

When to Use

User needs AWS infrastructure guidance. Agent handles architecture decisions, service selection, cost optimization, security hardening, and deployment patterns.

Architecture

Memory lives in ~/aws/. See memory-template.md for structure.

~/aws/
├── memory.md        # Account context + preferences
├── resources.md     # Active infrastructure inventory
└── costs.md         # Cost tracking + alerts

Quick Reference

Core Rules

1. Verify Account Context First

Before any operation, confirm:

• Region (default: us-east-1, but ask)
• Account type (personal/startup/enterprise)
• Existing infrastructure (VPC, subnets, security groups)

aws sts get-caller-identity
aws ec2 describe-vpcs --query 'Vpcs[].{ID:VpcId,CIDR:CidrBlock,Default:IsDefault}'

2. Cost-First Architecture

Every recommendation includes cost impact:

Default to smallest viable instance. Scaling up is easy; scaling down wastes money.

3. Security by Default

Every resource includes:

• Principle of least privilege IAM
• Encryption at rest (KMS default key minimum)
• VPC isolation (no public subnets for databases)
• Security groups with explicit deny-all inbound

4. Infrastructure as Code

Generate Terraform or CloudFormation for reproducibility:

terraform init && terraform plan

Never rely on console-only changes.

5. Tagging Strategy

Every resource gets tagged for cost allocation:

--tags Key=Environment,Value=prod Key=Project,Value=myapp Key=Owner,Value=team

6. Monitoring from Day 1

Deploy CloudWatch alarms with infrastructure:

• Billing alerts (before you get surprised)
• CPU/Memory thresholds
• Error rate spikes

Cost Traps

NAT Gateway data processing ($0.045/GB): VPC endpoints are free for S3/DynamoDB. A busy app can burn $500/month on NAT alone.

aws ec2 create-vpc-endpoint --vpc-id vpc- \
  --service-name com.amazonaws.us-east-1.s3 --route-table-ids rtb-

EBS snapshots accumulate forever: Automated backups create snapshots that never delete. Set lifecycle policies.

aws ec2 describe-snapshots --owner-ids self \
  --query 'Snapshots[?StartTime<=`2024-01-01`].[SnapshotId,StartTime,VolumeSize]'

CloudWatch Logs default retention is forever:

aws logs put-retention-policy --log-group-name /aws/lambda/fn --retention-in-days 14

Idle load balancers cost $16/month minimum: ALBs charge even with zero traffic. Delete unused ones.

Data transfer between AZs costs $0.01/GB each way: Chatty microservices across AZs add up fast. Co-locate when possible.

Security Traps

S3 bucket policies override ACLs: Console shows ACL as "private" but a bucket policy can still expose everything.

aws s3api get-bucket-policy --bucket my-bucket 2>/dev/null || echo "No policy"
aws s3api get-public-access-block --bucket my-bucket

Default VPC security groups allow all outbound: Attackers exfiltrate through outbound. Restrict it.

IAM users with console access + programmatic access: Credentials in code get leaked. Use roles + temporary credentials.

RDS publicly accessible defaults to Yes in console: Always verify:

aws rds describe-db-instances --query 'DBInstances[].{ID:DBInstanceIdentifier,Public:PubliclyAccessible}'

Performance Patterns

Lambda cold starts:

• Use provisioned concurrency for latency-sensitive functions
• Keep packages small (<50MB unzipped)
• Initialize SDK clients outside handler

RDS connection limits:

Use RDS Proxy for Lambda to avoid connection exhaustion.

EBS volume types:

Service Selection

CLI Essentials

aws configure --profile myproject

export AWS_PROFILE=myproject

aws sts get-caller-identity

aws ec2 describe-regions --query 'Regions[].RegionName'

aws ce get-cost-forecast --time-period Start=$(date +%Y-%m-01),End=$(date -v+1m +%Y-%m-01) \
  --metric UNBLENDED_COST --granularity MONTHLY

Security & Privacy

Credentials: This skill uses the AWS CLI, which reads credentials from `[REDACTED_AWS_PATH] or environment variables. The skill never stores, logs, or transmits AWS credentials.

Local storage: Preferences and context stored in ~/aws/ — no data leaves your machine.

CLI commands: All commands shown are read-only by default. Destructive operations (delete, terminate) require explicit user confirmation.

Related Skills

Install with `* 安装此Skill请参考SkillHub平台指南

• infrastructure — architecture decisions
• cloud — multi-cloud patterns
• docker — container basics
• backend — API design

Feedback

• If useful: `
• Stay updated: `

依赖说明

运行环境

• Agent平台: 支持SKILL.md的任意AI Agent( Code / Cursor / Codex / CLI等)
• 操作系统: Windows / macOS / Linux

依赖说明

API Key 配置

• 本Skill基于Markdown指令,无需额外API Key(除内容中明确标注的外部API)

可用性分类

• 分类: MD+execute(纯Markdown指令,部分功能需要exec命令行执行能力)
• 说明: 基于Markdown的AI Skill,通过自然语言指令驱动Agent执行任务

核心能力

• Architect, deploy, and optimize AWS infrastructure avoiding cost explosions and security pitfalls
• 触发关键词: web, deploy, architect, avoiding, aws, optimize, infrastructure, amazon

适用场景

不适用于：需要人工判断的复杂决策场景

使用流程

1. 确认运行环境满足依赖说明中的要求
2. 根据适用场景选择合适的使用方式
3. 执行操作并检查输出结果
4. 如遇错误，参考错误处理章节

示例

示例1：基础用法

输入: 用户请求
处理: 根据使用流程执行
输出: 处理结果

错误处理

常见问题

Q1: 如何开始使用Aws？

A: 请先阅读使用流程章节，确认环境满足依赖说明中的要求。

Q2: 遇到错误怎么办？

A: 请参考错误处理章节，按照表格中的处理方式操作。

Q3: Aws有什么限制？

A: 请参考已知限制章节了解具体限制。

已知限制

• 依赖云服务，需要网络连接