# aws-lambda-microvms

Builds, runs, and debugs Firecracker-isolated AWS Lambda MicroVMs with fast snapshot resume and session lifetimes up to 8 hours.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 5600 installs · ★ 3282
- Author: aws
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/aws/agent-toolkit-for-aws/tree/HEAD/skills/specialized-skills/serverless-skills/aws-lambda-microvms/SKILL.md
- Updated: 2026-10-23
- HTML: https://affpapa.org/en/nevibecode/skills/aws-lambda-microvms

## What it does

This skill operates isolated serverless compute environments using AWS Lambda MicroVMs. Each instance runs your application inside a Firecracker container with Amazon Linux 2023. Startup skips application initialization because the microVM boots from a pre-warmed snapshot of disk and memory.

The workflow relies on two primary resources: `MicrovmImage` and `Microvm`. You build an image from an S3 zip archive containing a `Dockerfile`, then instantiate it via `RunMicrovm`. Incoming traffic routes to a dedicated HTTPS endpoint authenticated by a bearer token passed in `X-aws-proxy-auth`.

Your S3 artifact bucket and network connectors must reside in the target image region. The build fails if they sit elsewhere. Because sessions top out at 8 hours, workloads needing uninterrupted execution beyond this limit break here and belong on ECS or EKS instead.

## Requirements
- Works with: AWS

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add aws/agent-toolkit-for-aws --skill aws-lambda-microvms -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/aws-lambda-microvms/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/aws-lambda-microvms/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add aws/agent-toolkit-for-aws --skill aws-lambda-microvms -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/aws-lambda-microvms/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add aws/agent-toolkit-for-aws --skill aws-lambda-microvms -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/aws-lambda-microvms/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install aws/agent-toolkit-for-aws aws-lambda-microvms
```

2. **Manually: put the files in place**
- File: `.github/skills/aws-lambda-microvms/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add aws/agent-toolkit-for-aws --skill aws-lambda-microvms -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/aws/agent-toolkit-for-aws --path skills/specialized-skills/serverless-skills/aws-lambda-microvms
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/aws-lambda-microvms/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add aws/agent-toolkit-for-aws --skill aws-lambda-microvms -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/aws/agent-toolkit-for-aws/tree/HEAD/skills/specialized-skills/serverless-skills/aws-lambda-microvms/SKILL.md

## When to use it
- isolate AI agent execution and interactive REPL sessions
- resume serverless instances from memory and disk snapshots
- host stateful gRPC or WebSocket connections up to 8 hours
- run multi-tenant CI build runners with strong tenant boundaries

## Example prompts
- Build a MicrovmImage from a Dockerfile in S3 with the necessary IAM roles
- Configure an idlePolicy and run an AWS Lambda MicroVM for WebSocket traffic
- Manage microVM lifecycle states using suspend and resume commands

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 5d47dd1ce341629a.

BEGIN THIRD-PARTY FILE 5d47dd1ce341629a
```text
---
name: aws-lambda-microvms
description: Builds, runs, debugs, and operates applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments running inside a container with up to 8 hr lifetimes. Applicable when workloads need strong isolation between tenants, isolated serverless compute, sandbox compute, or secure multi-tenant execution. Also suited for AI/agent code-execution sandboxes, interactive code playgrounds and notebooks (Jupyter, REPLs, dev environments running user-supplied code), reinforcement-learning environments, multi-tenant CI executors and build runners, sessionful game or simulation servers, or isolated security scanners. Also applicable when the workload needs long-lived sessions, a real port-listening server (gRPC, WebSocket, custom TCP protocols), state preserved across periods of inactivity (suspend/resume), container-level access (FUSE, eBPF, custom syscalls), or session-affine routing.
version: 2
---

# AWS Lambda MicroVMs

> The AWS MCP server is recommended for sandboxed execution and audit logging.

AWS Lambda MicroVMs are serverless compute environments that combine Firecracker VM isolation with container-like efficiency. Each MicroVM:

- Runs your application as a **container inside a Firecracker microVM** — you can reproduce the environment locally.
- Runs Amazon Linux 2023 as the base OS inside the MicroVM.
- Boots from a **memory + disk snapshot** captured at image build time, so application init is skipped on run.
- Has a dedicated, TLS-terminated HTTPS endpoint reachable with an auth token.
- Can be **suspended and resumed** with state preserved; lives up to 8 hours.

**Two-resource model:**

- `MicrovmImage` — a versioned artifact built from `{S3 zip with Dockerfile} + baseImageArn`. Each version has per-architecture/chipset `Build`s.
- `Microvm` — a running instance created (`RunMicrovm`) from an image version.

**Two roles:**

- `buildRoleArn` — used during image build (S3 read, CloudWatch logs, optional ECR).
- `executionRoleArn` — assumed at runtime by the running MicroVM.

## When to use

### Choose Lambda MicroVMs when

- **Analytics workloads** — isolated compute for data processing, ETL jobs, or query execution with strong tenant separation.
- **AI / agent code execution sandboxes** — fresh, isolated environment per session, fast resume between turns.
- **Interactive code playgrounds & notebooks** — Jupyter, REPLs, dev environments executing user code.
- **Reinforcement-learning environments** — clean per-episode envs with tool access.
```
END THIRD-PARTY FILE 5d47dd1ce341629a

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First 2591 of 15008 bytes. © aws · Apache-2.0 · https://github.com/aws/agent-toolkit-for-aws/tree/HEAD/skills/specialized-skills/serverless-skills/aws-lambda-microvms/SKILL.md

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