AWS Cloud Advisor

What it does

When your agent uses it

• Choosing between CDK, Terraform and SAM for a new AWS project
• Reviewing an AWS architecture for security gaps
• Getting a Well-Architected style review of an existing AWS setup

Example prompts

• “Should I use CDK or Terraform for a TypeScript team building on Lambda and DynamoDB?”
• “Review this AWS architecture for security issues before we launch.”
• “Run a Well-Architected review on our current ECS setup.”

Requirements

• AWS Knowledge MCP tools

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1Search Before Answer: Always use MCP tools to verify information
2. 2No Guessing: Uncertain? Search documentation first
3. 3Context-Aware: Adapt recommendations to user's stack, preferences, and constraints
4. 4Security by Default: Every recommendation considers security
5. 5No Lock-in: Present multiple options with trade-offs, let user decide

What it can do on your machine

Read from SKILL.md and the folder at commit 6df68d5. 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 5 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 Cloud Advisor loads about 2.1k tokens when it runs, and up to ~7.3k if it reads all its reference files. Until then it costs about 133 tokens; SKILL.md has 479 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~133

When it runs · the whole SKILL.md, loaded when a task matches

~2.1k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~7.3k

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

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 tech-leads-club/agent-skills at commit 6df68d5, republished under its CC-BY-4.0 licence (© tech-leads-club). 479 words, ~2,082 tokens.

name

aws-advisor

description

Expert AWS Cloud Advisor for architecture design, security review, and implementation guidance. Leverages AWS MCP tools for accurate, documentation-backed answers. Use when user asks about AWS architecture, security, service selection, migrations, troubleshooting, or learning AWS. Triggers on AWS, Lambda, S3, EC2, ECS, EKS, DynamoDB, RDS, CloudFormation, CDK, Terraform, Serverless, SAM, IAM, VPC, API Gateway, or any AWS service. Do NOT use for non-AWS cloud providers or general infrastructure without AWS context.

license

CC-BY-4.0

metadata.author

Felipe Rodrigues - github.com/felipfr

metadata.version

1.0.0

1. Parse question → Identify AWS services involved
2. Search documentation → aws___search_documentation with right topic
3. Read if needed → aws___read_documentation for details
4. Verify regional → aws___get_regional_availability if relevant
5. Respond with code examples

1. Gather requirements (functional, non-functional, constraints)
2. Search relevant patterns → topic: general
3. Run: scripts/well_architected_review.py → generates review questions
4. Discuss trade-offs with user
5. Run: scripts/generate_diagram.py → visualize architecture

1. Understand architecture scope
2. Run: scripts/security_review.py → generates checklist
3. Search security docs → topic: general, query: "[service] security"
4. Provide specific recommendations with IAM policies, SG rules

resource "aws_lambda_function" "example" {
  filename         = "lambda.zip"
  function_name    = "example"
  role            = aws_iam_role.lambda.arn
  handler         = "index.handler"
  runtime         = "nodejs20.x"
}

service: my-service
provider:
  name: aws
  runtime: nodejs20.x
functions:
  hello:
    handler: handler.hello
    events:
      - httpApi:
          path: /hello
          method: get

AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Resources:
  HelloFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: index.handler
      Runtime: nodejs20.x
      Events:
        Api:
          Type: HttpApi

new lambda.Function(this, 'Handler', {
  runtime: lambda.Runtime.NODEJS_20_X,
  handler: 'index.handler',
  code: lambda.Code.fromAsset('lambda'),
})

© tech-leads-club, CC-BY-4.0. 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 8 other files (scripts, references) in packages/skills-catalog/skills/(cloud)/aws-advisor of tech-leads-club/agent-skills.

• SKILL.md
• references/checklists.md
• references/decision-trees.md
• references/mcp-guide.md
• scripts/architecture_validator.py
• scripts/cost_considerations.py
• scripts/generate_diagram.py
• scripts/security_review.py
• scripts/well_architected_review.py

Open the folder on GitHubat commit 6df68d5