AWS Solution Architect
alirezarezvani/claude-skills
Design AWS architectures for startups using serverless patterns and IaC templates.
Design AWS serverless architectures for startups with IaC. An agent skill from borghei/Claude-Skills.
Install AWS Solution Architect
$ npx skills add borghei/Claude-Skills --skill aws-solution-architect -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install borghei/Claude-Skills aws-solution-architect --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/aws-solution-architect .claude/skills/aws-solution-architect && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "aws-solution-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/aws-solution-architect into .claude/skills/aws-solution-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-solution-architect", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/borghei/Claude-Skills/tree/main/engineering/aws-solution-architectType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add borghei/Claude-Skills --skill aws-solution-architect -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install borghei/Claude-Skills aws-solution-architect --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/engineering/aws-solution-architect .agents/skills/aws-solution-architect && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aws-solution-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/aws-solution-architect into .agents/skills/aws-solution-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-solution-architect", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add borghei/Claude-Skills --skill aws-solution-architect -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install borghei/Claude-Skills aws-solution-architect --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/engineering/aws-solution-architect .cursor/skills/aws-solution-architect && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "aws-solution-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/aws-solution-architect into .cursor/skills/aws-solution-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-solution-architect", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/borghei/Claude-Skills.git --path engineering/aws-solution-architect--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add borghei/Claude-Skills --skill aws-solution-architect -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install borghei/Claude-Skills aws-solution-architect --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/engineering/aws-solution-architect .gemini/skills/aws-solution-architect && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "aws-solution-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/aws-solution-architect into .gemini/skills/aws-solution-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-solution-architect", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install borghei/Claude-Skills aws-solution-architectInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add borghei/Claude-Skills --skill aws-solution-architect -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/engineering/aws-solution-architect .github/skills/aws-solution-architect && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "aws-solution-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/aws-solution-architect into .github/skills/aws-solution-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-solution-architect", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add borghei/Claude-Skills --skill aws-solution-architect -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install borghei/Claude-Skills aws-solution-architect --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/engineering/aws-solution-architect .opencode/skills/aws-solution-architect && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "aws-solution-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/aws-solution-architect into .opencode/skills/aws-solution-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aws-solution-architect", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
aws-solution-architect- GitHub stars
- 874
- Token cost
- ~1.8k tokens
- SKILL.md length
- 685 words
- Files
- 11 (incl. scripts, references, assets)
- Skills in repo
- 364
- Repo updated
- First seen
- Licence
- MIT
At a glance
Design AWS serverless architectures for startups with IaC. An agent skill from borghei/Claude-Skills.
- Designing serverless architecture
- SKILL.md covers Core Capabilities, When to Use, Clarify First and Tools, plus 3 more sections
- Runs Python scripts from its folder
- Writing CloudFormation
What it does
AWS Solution Architect is an agent skill from borghei/Claude-Skills. 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.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts, reference files and assets (for example `assets/expected_output.json`, `assets/sample_input.json` and `references/architecture_patterns.md`).
It sits in DevOps & Cloud, covering Infrastructure as code, Serverless and Microservices. It works with Amazon Web Services, AWS CloudFormation, Amazon DynamoDB and Terraform. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.
When your agent uses it
- Designing serverless architecture
- Writing CloudFormation
- Optimizing AWS costs
- Setting up CI/CD
Example prompts
- “/aws-solution-architect”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit c9a1487. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
AWS Solution Architect loads about 1.8k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 685 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from borghei/Claude-Skills at commit c9a1487, republished under its MIT licence (© borghei). 685 words, ~1,798 tokens.
Download SKILL.mdSave it as
.claude/skills/aws-solution-architect/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.- name
- aws-solution-architect
- description
- 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.
- license
- MIT + Commons Clause
- metadata.version
- 1.1.0
- metadata.author
- borghei
- metadata.category
- engineering
- metadata.domain
- cloud-architecture
- metadata.updated
- 2026-06-17
- metadata.tags
- aws, serverless, cloudformation, cost-optimization
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.pygenerates) - 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.
Show full SKILL.md (252 more words)Show less
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 |
© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 10 other files (scripts, references, assets) in engineering/aws-solution-architect of borghei/Claude-Skills.
- SKILL.md
- assets/expected_output.json
- assets/sample_input.json
- references/architecture_patterns.md
- references/best_practices.md
- references/service_selection.md
- references/tool-reference.md
- references/workflow-and-usage.md
- scripts/architecture_designer.py
- scripts/cost_optimizer.py
- scripts/serverless_stack.py
Open the folder on GitHubat commit c9a1487
Compare with similar skills
AWS Solution Architect next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AWS Solution Architect this skillborghei/Claude-Skills | 874 | — | ~1.8k | Automated safety check: Pass | MIT | |
| AWS Solution Architectalirezarezvani/claude-skills | 28k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Amazon Elasticacheaws/agent-toolkit-for-aws | 2.8k | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| AWS Cloud Advisortech-leads-club/agent-skills | 7k | — | ~2.1k | Automated safety check: Pass | CC-BY-4.0 | |
| AWS Cloud Patternsrohitg00/awesome-claude-code-toolkit | 2.7k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Azure To AWSaws/agent-toolkit-for-aws | 2.8k | — | ~4.5k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about AWS Solution Architect
What does AWS Solution Architect do?
Design AWS serverless architectures for startups with IaC. An agent skill from borghei/Claude-Skills. AWS Solution Architect is an agent skill from borghei/Claude-Skills. Design AWS serverless architectures for startups with IaC.
When should I use AWS Solution Architect?
AWS Solution Architect fits situations like: designing serverless architecture; writing CloudFormation; optimizing AWS costs; setting up CI/CD.
How do I install AWS Solution Architect in Claude Code?
Run `npx skills add borghei/Claude-Skills --skill aws-solution-architect -a claude-code`. Or copy the skill folder (engineering/aws-solution-architect in borghei/Claude-Skills) into .claude/skills/aws-solution-architect in your project. Claude Code loads it when a task matches its description.
How do I install AWS Solution Architect in Codex?
Run `npx skills add borghei/Claude-Skills --skill aws-solution-architect -a codex`. Or copy the skill folder (engineering/aws-solution-architect in borghei/Claude-Skills) into .agents/skills/aws-solution-architect in your project. Codex loads it when a task matches its description.
Can I use AWS Solution Architect in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill aws-solution-architect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aws-solution-architect, .gemini/skills/aws-solution-architect, .github/skills/aws-solution-architect and .opencode/skills/aws-solution-architect in your project.
What does AWS Solution Architect need to run?
Going by SKILL.md and its folder, AWS Solution Architect needs Python for the scripts in its folder. Our summary lists: Python 3.
Does AWS Solution Architect access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is AWS Solution Architect safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does AWS Solution Architect use?
AWS Solution Architect is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AWS Solution Architect use?
About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 15k tokens, read only when the agent opens those files.
What are the alternatives to AWS Solution Architect?
Skills that share tags, products or a category with AWS Solution Architect: AWS Solution Architect (alirezarezvani/claude-skills, 28k stars), Amazon Elasticache (aws/agent-toolkit-for-aws, 2.8k stars), AWS Cloud Advisor (tech-leads-club/agent-skills, 7k stars) and AWS Cloud Patterns (rohitg00/awesome-claude-code-toolkit, 2.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AWS Solution Architect?
borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 874 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 7, 2026.
Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.