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Skill

deploy

@awslabs Updated 2026-10-15

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.

agent-pluginsagent-skillsagentsawscoding-agent-skillscoding-agents

Install

With your agent

Install OMGSkills skill "awslabs/agent-plugins:plugins/deploy-on-aws/skills/deploy" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/awslabs/agent-plugins /tmp/agent-plugins && ln -s /tmp/agent-plugins/plugins/deploy-on-aws/skills/deploy ~/.claude/skills/deploy

From README

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.