Deploy

Turns any codebase into a running AWS deployment without making you answer a dozen questions first. It scans your code, picks the right services (Lambda, ECS, RDS, whatever fits), shows you the monthly cost, then generates infrastructure code with security defaults baked in. The philosophy is refreshingly opinionated: it chooses dev-sized resources by default and only asks when things are genuinely ambiguous. Uses three MCP servers for architecture decisions, pricing, and IaC best practices. One quirk worth knowing: it explicitly avoids App Runner since it's in maintenance mode, routing you to ECS Express or Elastic Beanstalk instead. Good for when you just want your code running without becoming an AWS architect.

skills.sh installs: 240
GitHub stars: 938
last updated: Aug 21, 2026

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Install

$ npx -y skills add awslabs/agent-plugins --skill deploy --agent claude-code

Installs into .claude/skills of the current project.

Files

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

Analyze - Scan codebase for framework, database, dependencies
Recommend - Select AWS services, concisely explain rationale
Estimate - Show monthly cost before proceeding
Generate - Write IaC code with security defaults applied
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?"

SKILL.md on GitHub