Aws Solution Architect

Community

borghei

aws-solution-architect

Design AWS serverless architectures for startups with IaC. Use when designing serverless architecture, writing CloudFormation, optimizing AWS costs, setting up CI/CD, or migrating to AWS across Lambda, API Gateway, and DynamoDB.

Overview

Publisher	borghei
Repository	`Claude-Skills`
Skill name	`aws-solution-architect`
Stars	856
Forks	154
Bundled files	10
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
10 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by borghei on GitHub. Read the source before you install it.

Installation

Install the Aws Solution Architect AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/borghei/Claude-Skills/tree/main/engineering/aws-solution-architect
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/borghei/Claude-Skills.git /tmp/Claude-Skills
mkdir -p .claude/skills
cp -r /tmp/Claude-Skills/engineering/aws-solution-architect .claude/skills/aws-solution-architect

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Solution Architect in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aws Solution Architect on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aws Solution Architect is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AWS Solution Architect

Design scalable, cost-effective AWS architectures for startups with infrastructure-as-code templates — recommend the right pattern, generate CloudFormation/CDK/Terraform, and optimize spend.

Core Capabilities

Architecture design — recommend serverless, three-tier, microservices, data-pipeline, GraphQL, IoT, or multi-region patterns from app type, scale, budget, and compliance needs.
IaC generation — produce production-ready CloudFormation (SAM), CDK (TypeScript), and Terraform (HCL) with API Gateway, Lambda, DynamoDB, Cognito, IAM least-privilege, and CloudWatch.
Cost optimization — analyze inventory for idle resources, right-sizing, Savings Plans, storage tiering, and NAT Gateway alternatives with prioritized savings.
Service selection — decision matrices for compute, database, storage, networking, and security.
Operational excellence — monitoring, alarming, disaster recovery (RTO/RPO), and security hardening.

When to Use

Designing serverless / three-tier / microservices / data-pipeline / multi-region AWS architecture.
Writing or generating CloudFormation, CDK, or Terraform infrastructure-as-code.
Reducing AWS costs, right-sizing, or evaluating Savings Plans / Reserved capacity.
Selecting AWS services (Lambda, API Gateway, DynamoDB, Aurora, ECS/Fargate, EventBridge, AppSync).
Setting up CI/CD (CodePipeline, CodeBuild) or migrating workloads to AWS.
Hardening IAM, VPC, encryption, Cognito, WAF, or planning monitoring (CloudWatch, X-Ray).

Clarify First

Before designing the architecture, confirm these inputs. If any is unknown or vague, ASK — do not assume:

App type & scale — workload type and expected traffic (selects the pattern: serverless, three-tier, microservices, data-pipeline, or multi-region)
IaC target — CloudFormation/SAM, CDK, or Terraform (sets the template format serverless_stack.py generates)
Budget & compliance constraints — cost ceiling and any regulatory needs (drive service selection and the cost-optimization recommendations)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Tools

These are Python classes imported from scripts/ (no CLI). See references/tool-reference.md for full parameters, methods, and examples.

Tool	Purpose	Usage
`architecture_designer.py`	Recommend a pattern + service stack + cost estimate from requirements	`from scripts.architecture_designer import ArchitectureDesigner`
`serverless_stack.py`	Generate CloudFormation / CDK / Terraform serverless templates	`from scripts.serverless_stack import ServerlessStackGenerator`
`cost_optimizer.py`	Analyze inventory + spend → prioritized savings recommendations	`from scripts.cost_optimizer import CostOptimizer`

References

Load the reference that matches the task — keep this file lean and pull detail on demand:

references/workflow-and-usage.md — the 6-step design→deploy→validate workflow, quick-start scenarios (MVP, scaling, cost optimization, IaC), input-requirements JSON, and output formats. Read when running an end-to-end design.
references/architecture_patterns.md — the 6 detailed patterns (serverless, microservices, three-tier, data processing, GraphQL, multi-region) with full service specs. Read when selecting and designing a pattern.
references/service_selection.md — decision matrices for compute, database, storage, and messaging. Read when choosing between AWS services.
references/best_practices.md — serverless design, cost optimization, security hardening, scalability, plus service limitations, troubleshooting, and success criteria. Read before shipping an architecture.
references/tool-reference.md — full Python API (constructors, methods, requirement/resource dictionaries, examples) for the three tools. Read when invoking the tools programmatically.

Scope & Limitations

This skill covers:

AWS architecture design for startups and growth-stage companies (serverless, three-tier, microservices, data pipelines, IoT, multi-region patterns)
Infrastructure-as-code generation for CloudFormation (SAM), CDK (TypeScript), and Terraform (HCL)
Cost analysis, right-sizing recommendations, and Savings Plans evaluation
Service selection guidance for compute, database, storage, networking, and security

This skill does NOT cover:

Multi-cloud or hybrid-cloud architectures (Azure, GCP) -- see engineering/cloud-migration-specialist/ for cross-cloud strategies
Application-level code, business logic, or framework-specific implementation -- see engineering/senior-fullstack/ for fullstack development
Compliance audit execution or regulatory evidence collection -- see ra-qm-team/ for SOC 2, HIPAA, GDPR, and ISO compliance skills
AWS account management, organization policies, or billing disputes -- see AWS Support or engineering/ms365-tenant-manager/ for tenant administration patterns

Integration Points

Skill	Integration	Data Flow
`engineering/senior-devops`	CI/CD pipeline configuration for deploying generated IaC templates	Architecture templates flow into DevOps deployment pipelines and monitoring setup
`engineering/senior-secops`	Security hardening of generated architectures (IAM policies, WAF rules, GuardDuty)	Architecture design feeds into security review; SecOps findings feed back as architecture constraints
`ra-qm-team/soc2-compliance`	Compliance validation of AWS architectures against SOC 2 Trust Services Criteria	Architecture resource inventory feeds into compliance audit; audit findings drive architecture changes
`engineering/senior-backend`	Backend service implementation that runs on the designed AWS infrastructure	Architecture patterns define the runtime environment; backend requirements inform service selection
`engineering/tech-stack-evaluator`	Technology selection decisions that influence architecture pattern choice	Stack evaluation outputs (database, compute, messaging choices) feed into architecture requirements JSON
`c-level-advisor/cto-advisor`	Strategic infrastructure decisions, build-vs-buy, and cloud budget planning	Cost analysis from `cost_optimizer.py` informs CTO budget decisions; CTO constraints flow back as architecture requirements

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

assets/expected_output.json2 KB
assets/sample_input.json1 KB
references/architecture_patterns.md17 KB
references/best_practices.md18 KB
references/service_selection.md11 KB
references/tool-reference.md10 KB
references/workflow-and-usage.md5 KB
scripts/architecture_designer.py35 KB
scripts/cost_optimizer.py15 KB
scripts/serverless_stack.py17 KB

Frequently asked questions

What does the Aws Solution Architect AI skill do?

Why use Aws Solution Architect on TypingMind?

Because you install it once and use it with any model. Aws Solution Architect is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aws Solution Architect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/borghei/Claude-Skills/tree/main/engineering/aws-solution-architect. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aws Solution Architect?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aws Solution Architect?

As many as you like. As long as a model supports skills, you can use Aws Solution Architect with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aws Solution Architect AI skill free?

It is published on GitHub by borghei. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Deploy Release Test

vercel

OrganizationPopular

Validate a commit-specific Next.js preview package and manually trigger the entire Next.js deployment test suite through the test_e2e_deploy_release.yml GitHub Actions workflow. Use only when asked to…

Insight Error Page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new `errors/<slug>.mdx` page, auditing an existing one, or checking that a page matches the framework fix…

Mcp Apps Builder

**MANDATORY for ALL MCP server work** - mcp-use framework best practices and patterns. **READ THIS FIRST** before any MCP server work, including: - Creating new MCP servers - Modifying existing MCP…

Canary

Post-deploy canary monitoring. (gstack)

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AWS Solution Architect

Core Capabilities

When to Use

Clarify First

Tools

References

Scope & Limitations

Integration Points

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now