aws-solution-architect_skill

This skill provides expert AWS solution architecture for startups, focusing on serverless, scalable, cost-optimized cloud designs and modern DevOps practices.

Python

1.4k

GitHub Stars

7

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill alirezarezvani/claude-skills --skill aws-solution-architect

architecture_designer.py34.8 KB
cost_optimizer.py15.3 KB
expected_output.json1.5 KB
HOW_TO_USE.md8.9 KB
sample_input.json426 B
serverless_stack.py17.4 KB
SKILL.md14.6 KB

Overview

This skill delivers expert AWS solution architecture tailored for startups, focused on serverless, scalable, and cost-effective cloud infrastructure. It combines modern DevOps practices, infrastructure-as-code, and practical patterns to accelerate MVPs and support growth to production scale.

How this skill works

I analyze application requirements (traffic, data, budget, compliance, team maturity) and produce actionable outputs: architecture diagrams, IaC templates (CloudFormation, CDK, Terraform), cost estimates, security assessments, and deployment runbooks. Recommendations favor serverless and managed services where they reduce operational burden while providing options for containers or multi-region needs.

When to use it

Designing a cost-efficient serverless backend for an MVP or mobile app
Creating IaC templates and CI/CD pipelines for repeatable deployments
Scaling architecture from 10k to 100k+ users with reliability and observability
Migrating on-prem or legacy setups to AWS with minimal downtime
Assessing and reducing AWS costs while preserving performance

Best practices

Prefer stateless Lambda functions and store state in DynamoDB or S3
Implement least-privilege IAM roles and encrypt data in transit and at rest
Use infrastructure-as-code with peer review and automated testing
Start small and right-size resources; add reserved capacity for predictable workloads
Design for horizontal scaling and apply caching (CloudFront, ElastiCache) early

Example use cases

Serverless API backend for a mobile app using API Gateway, Lambda, and DynamoDB
Event-driven microservices with EventBridge, SQS, Step Functions, and Lambda
Three-tier web app on ECS Fargate with ALB, Aurora, and ElastiCache
Real-time ingestion pipeline with Kinesis, S3 data lake, and Athena analytics
Multi-region high-availability deployment with Route 53, DynamoDB Global Tables, and cross-region replication

FAQ

Provide application type, traffic expectations, data/storage needs, budget limits, team skills, compliance requirements, and availability targets.

Can you generate deployable IaC?

Yes. I produce CloudFormation, CDK, or Terraform templates and can tailor them to your CI/CD pipeline.

How do you optimize costs for startups?

I combine right-sizing, serverless where appropriate, S3 lifecycle policies, Savings Plans or Reserved Instances for steady loads, and cost alerts.

When should we avoid serverless?

Avoid serverless for long-running jobs (>15 min), heavy GPU workloads, strict vendor-agnostic needs, or when cold-start latency is unacceptable without mitigation.