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Aws Serverless Deployment

Organization
awslabs
aws-serverless-deployment

AWS SAM and AWS CDK deployment for serverless applications. Triggers on phrases like: use SAM, SAM template, SAM init, SAM deploy, CDK serverless, CDK Lambda construct, NodejsFunction, PythonFunction, SAM and CDK together, serverless CI/CD pipeline. For general app deployment with service selection, use deploy-on-aws plugin instead.

Overview

Publisherawslabs
Repositoryagent-plugins
Skill nameaws-serverless-deployment
Stars
917
Forks
162
Bundled files
5
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by awslabs on GitHub. Read the source before you install it.

Installation

Install the Aws Serverless Deployment AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/awslabs/agent-plugins/tree/main/plugins/aws-serverless/skills/aws-serverless-deployment
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/awslabs/agent-plugins.git /tmp/agent-plugins
mkdir -p .claude/skills
cp -r /tmp/agent-plugins/plugins/aws-serverless/skills/aws-serverless-deployment .claude/skills/aws-serverless-deployment
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Serverless Deployment in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aws Serverless Deployment on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aws Serverless Deployment is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AWS Serverless Deployment

Deploy serverless applications to AWS using SAM or CDK. This skill covers project scaffolding, IaC templates, CDK constructs and patterns, deployment workflows, CI/CD pipelines, and SAM/CDK coexistence.

For Lambda runtime behavior, event sources, orchestration, observability, and optimization, see the aws-lambda skill.

When to Load Reference Files

Load the appropriate reference file based on what the user is working on:

Best Practices

SAM

  • Do: Use sam_init with an appropriate template for your use case
  • Do: Set global defaults for timeout, memory, runtime, and tracing in the Globals section
  • Do: Use samconfig.toml environment-specific sections for multi-environment deployments
  • Do: Use sam build --use-container when native dependencies are involved
  • Don't: Copy-paste templates from the internet without understanding the resource configuration
  • Don't: Hardcode resource ARNs or account IDs in templates — use !Ref, !GetAtt, and !Sub

CDK

  • Do: Use TypeScript — type checking catches errors at synthesis time, before any AWS API calls
  • Do: Prefer L2 constructs and grant* methods over L1 and raw IAM statements
  • Do: Separate stateful and stateless resources into different stacks; enable termination protection on stateful stacks
  • Do: Commit cdk.context.json to version control — it caches VPC/AZ lookups for deterministic synthesis
  • Do: Write unit tests with aws-cdk-lib/assertions; assert logical IDs of stateful resources to detect accidental replacements
  • Do: Use cdk diff in CI before every deployment to review changes
  • Don't: Hardcode account IDs or region strings — use this.account and this.region
  • Don't: Use cdk deploy directly in production without a pipeline
  • Don't: Skip cdk bootstrap — deployments will fail without the CDK toolkit stack

Configuration

AWS CLI Setup

This skill requires that AWS credentials are configured on the host machine:

Verify access: Run aws sts get-caller-identity to confirm credentials are valid

SAM CLI Setup

Verify: Run sam --version

Container Runtime Setup

  1. Install a Docker compatible container runtime: Required for sam_local_invoke and container-based builds
  2. Verify: Use an appropriate command such as docker --version or finch --version

AWS Serverless MCP Server

Write access is enabled by default. The plugin ships with --allow-write in .mcp.json, so the MCP server can create projects, generate IaC, and deploy on behalf of the user.

Access to sensitive data (like Lambda and API Gateway logs) is not enabled by default. To grant it, add --allow-sensitive-data-access to .mcp.json.

SAM Template Validation Hook

This plugin includes a PostToolUse hook that runs sam validate automatically after any edit to template.yaml or template.yml. If validation fails, the error is returned as a system message so you can fix it immediately. The hook requires SAM CLI and jq to be installed; if either is missing, validation is skipped with a system message. Users can disable it via /hooks.

Verify: Run jq --version

IaC framework selection

Default: CDK

Override syntax:

  • "use CloudFormation" → Generate YAML templates
  • "use SAM" → Generate YAML templates

When not specified, ALWAYS use CDK

Language selection for CDK

Default: TypeScript

Override syntax:

  • "use Python" → Generate Python code
  • "use JavaScript" → Generate JavaScript code

When not specified, ALWAYS use TypeScript

Error Scenarios

Serverless MCP Server Unavailable

  • Inform user: "AWS Serverless MCP not responding"
  • Ask: "Proceed without MCP support?"
  • DO NOT continue without user confirmation

Resources

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Aws Serverless Deployment AI skill do?

AWS SAM and AWS CDK deployment for serverless applications. Triggers on phrases like: use SAM, SAM template, SAM init, SAM deploy, CDK serverless, CDK Lambda construct, NodejsFunction, PythonFunction, SAM and CDK together, serverless CI/CD pipeline. For general app deployment with service selection, use deploy-on-aws plugin instead.

Why use Aws Serverless Deployment on TypingMind?

Because you install it once and use it with any model. Aws Serverless Deployment is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aws Serverless Deployment in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/awslabs/agent-plugins/tree/main/plugins/aws-serverless/skills/aws-serverless-deployment. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aws Serverless Deployment?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aws Serverless Deployment?

As many as you like. As long as a model supports skills, you can use Aws Serverless Deployment with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aws Serverless Deployment AI skill free?

Yes. It is published on GitHub by awslabs under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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