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Deploy

AWS LabsOfficialPublished by AWS Labs

  • Skill
  • Workflow
  • Cloud and DevOps
  • Apache-2.0
  • No issues found
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From the author

Deploy applications to AWS. Triggers on phrases like: deploy to AWS, host on AWS, run this on AWS, AWS architecture, estimate AWS cost, generate infrastructure. Analyzes any codebase and deploys to optimal AWS services.
— the description by AWS Labs

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The deploy skill streamlines the process of moving applications to AWS by minimizing cognitive burden. It analyzes a codebase to identify the framework and dependencies, recommends appropriate AWS services based on established defaults, provides a monthly cost estimate, and generates secure infrastructure-as-code. The skill prioritizes cost-conscious dev-sized environments by default and integrates with specialized MCP servers for architecture knowledge, pricing, and IaC best practices.

What it does

  • Scans codebases to determine the optimal AWS service stack.
  • Provides monthly cost estimates for proposed infrastructure before deployment.
  • Generates infrastructure-as-code with built-in security defaults.
  • Performs automated security scans on generated IaC.
  • Selects services based on a predefined matrix of web, database, and background task patterns.
  • Handles migrations from platforms like Heroku or Render to Elastic Beanstalk.

When to use it

  • When you need to deploy a new application to AWS but want to avoid manual infrastructure configuration.
  • When you need a cost estimate for an AWS architecture before committing to deployment.
  • When you want to ensure your infrastructure follows security best practices like encryption and least privilege.
  • When migrating an existing application from a managed platform to AWS.

Advantages

  • Reduces cognitive load by automating service selection and IaC generation.
  • Ensures cost transparency by requiring estimates before deployment.
  • Applies security defaults automatically to all generated infrastructure.
  • Maintains consistency by using a standardized service selection matrix.
  • Avoids deprecated services by enforcing current AWS recommendations.

Usage examples

“Deploy my Django application to AWS.”
The agent analyzes the Django codebase, recommends Fargate with an ALB, provides a monthly cost estimate, and generates the necessary IaC.
“Estimate AWS cost for a static site.”
The agent identifies the site as a static SPA, recommends Amplify Hosting, and provides a cost breakdown.
“Generate infrastructure for my Node.js API.”
The agent selects Fargate, calculates the monthly cost, and produces secure IaC templates.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/awslabs/deploy/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip deploy.zip -d .agents/skills

Documentation by AWS Labs

Deploy on AWS

Take any application and deploy it to AWS with minimal user decisions.

Philosophy

Minimize cognitive burden. User has code, wants it on AWS. Pick the most straightforward services. Don't ask questions with obvious answers.

Workflow

  1. Analyze - Scan codebase for framework, database, dependencies

  2. Recommend - Select AWS services, concisely explain rationale

  3. Estimate - Show monthly cost before proceeding

  4. Generate - Write IaC code with security defaults applied

  5. Deploy - Run security checks, then execute with user confirmation

Defaults

See defaults.md for the complete service selection matrix.

Core principle: Default to dev-sized (cost-conscious: small instance sizes, minimal redundancy, and non-HA/single-AZ defaults) unless user says "production-ready".

MCP Servers

awsknowledge

Consult for architecture decisions. Use when choosing between AWS services or validating that a service fits the use case. Helps answer "what's the right AWS service for X?"

Key topics: general for architecture, amplify_docs for static sites/SPAs, cdk_docs and cdk_constructs for IaC patterns.

awspricing

Get cost estimates. Always present costs before generating IaC so user can adjust before committing. See cost-estimation.md for query patterns.

awsiac

Consult for IaC best practices. Use when writing CDK/CloudFormation/Terraform to ensure patterns follow AWS recommendations.

Principles

  • Concisely explain why each service was chosen

  • Always show cost estimate before generating code

  • Apply security defaults automatically (encryption, private subnets, least privilege)

  • Run IaC security scans (cfn-nag, checkov) before deployment

  • Don't ask "Lambda or Fargate?" - just pick the obvious one

  • If genuinely ambiguous, then ask

  • Never recommend AWS App Runner — it is in maintenance mode. Use ECS Express Mode instead.

  • When user explicitly requests a managed application platform or signals low infrastructure involvement, route to Elastic Beanstalk

References

Files

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an MCP server

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
AWS Labs
Publisher
AWS Labs (Official)
Source
awslabs/agent-plugins · plugins/deploy-on-aws/skills/deploy · commit fbefb37
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • NOTICE (added by AutoGineer from NOTICE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by AWS Labs or AWS Labs.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download deploy.zip