AWS Ami Builder
Build Amazon Machine Images (AMIs) with Packer using the amazon-ebs builder. Use when creating custom AMIs for EC2 instances.
Overview
AWS AMI Builder is a SKILL.md-based agent skill sourced from hashicorp/agent-skills. It is categorized under devops and is listed for Claude Code, Claude. The source description focuses on: Build Amazon Machine Images (AMIs) with Packer using the amazon-ebs builder. Use when creating custom AMIs for EC2 instances. AIToolly summarizes this page as a directory entry rather than copying the full third-party skill content, so users can evaluate the source, compatibility, and practical fit before installing it.
Use Cases
Install Notes
# Review source first
open https://github.com/hashicorp/agent-skills/blob/main/packer/builders/skills/aws-ami-builder/SKILL.mdCopy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.
Security Notes
Review the source SKILL.md, referenced scripts, permissions, and external services before installing AWS AMI Builder. Treat third-party skills like code dependencies, especially when they can read files, call APIs, or run commands.
Related Skills
CI Cd And Automation
addyosmani/agent-skills
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.
Observability And Instrumentation
addyosmani/agent-skills
Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the available data.
Core
vercel-labs/agent-browser
Core agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multip...
Agentcore
vercel-labs/agent-browser
Run agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include "use agentcore", "run on AWS", "cloud browser with AWS", "bed...
Agent Browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a butto...
Netlify Edge Functions
openai/plugins
Guide for writing Netlify Edge Functions. Use when building middleware, geolocation-based logic, request/response manipulation, authentication checks, A/B testing, or any low-latency edge compute. Covers Deno runtime, context.next() middleware pattern, geolocation, and when to choose edge vs serverless.