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Aws Sam Bootstrap

Community
giuseppe-trisciuoglio
aws-sam-bootstrap

Provides AWS SAM bootstrap patterns: generates `template.yaml` and `samconfig.toml` for new projects via `sam init`, creates SAM templates for existing Lambda/CloudFormation code migration, validates build/package/deploy workflows, and configures local testing with `sam local invoke`. Use when the user asks about SAM projects, `sam init`, `sam deploy`, serverless deployments, or needs to bootstrap/migrate Lambda functions with SAM templates.

Overview

Publishergiuseppe-trisciuoglio
Repositorydeveloper-kit
Skill nameaws-sam-bootstrap
Stars
345
Forks
41
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

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

  • Open source

    Published by giuseppe-trisciuoglio on GitHub. Read the source before you install it.

Installation

Install the Aws Sam Bootstrap 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.
  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/giuseppe-trisciuoglio/developer-kit.git /tmp/developer-kit
mkdir -p .claude/skills
cp -r /tmp/developer-kit/plugins/developer-kit-aws/skills/aws/aws-sam-bootstrap .claude/skills/aws-sam-bootstrap
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Sam Bootstrap 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 Sam Bootstrap 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 Sam Bootstrap 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 SAM Bootstrap

Overview

Generates SAM project artifacts for greenfield and migration scenarios. Creates the minimum required files (template.yaml, samconfig.toml, events/), validates with sam build, and configures sam deploy workflows following AWS SAM conventions.

When to Use

  • User needs to start a new AWS SAM project (sam init, sam deploy)
  • User wants to migrate existing Lambda functions or CloudFormation resources to SAM templates
  • User asks about SAM CLI commands (sam init, sam build, sam local invoke, sam deploy)
  • User needs to create or update template.yaml or samconfig.toml for serverless deployments
  • User wants to configure local testing with sam local invoke for Lambda functions

Instructions

1) Classify Scenario

  • New project: no Lambda structure exists. Run sam init to scaffold.
  • Existing project migration: Lambda/CloudFormation resources exist. Create template.yaml manually.

2) Select Runtime and Package Type

Use current non-deprecated runtimes. Package type: Zip (default) or Image (container/native deps).

3) Bootstrap New Projects

bash
sam init
sam build
sam local invoke <LogicalFunctionId> -e events/event.json
sam deploy --guided

4) Bootstrap Existing Projects

  1. Inspect current Lambda handlers, runtime, and dependency layout
  2. Create template.yaml with Transform: AWS::Serverless-2016-10-31
  3. Map existing resources to AWS::Serverless::Function and related SAM resources
  4. Create samconfig.toml with deploy defaults and environment overrides
  5. Add events/event.json payload samples for local invocation
  6. Validate with sam validate and sam build before deploy

5) Required Artifacts

.
├── template.yaml
├── samconfig.toml
└── events/
    └── event.json

See reference templates: examples.md, migration-checklist.md

6) Validation Checklist

  • sam validate succeeds
  • sam build succeeds
  • template.yaml has correct logical IDs and handlers
  • samconfig.toml contains deploy parameters for target environments

Examples

New SAM Project

bash
sam init  # Interactive scaffold
sam build
sam local invoke HelloFunction -e events/event.json
sam deploy --guided

Migrate Existing Lambda

  1. Detect handler/runtime → create template.yaml with SAM transform
  2. Add samconfig.toml with stack_name, capabilities, resolve_s3
  3. Add events/event.json → validate with sam build

Full templates in references/examples.md.

Best Practices

  • One deployable function first, then expand; keep migration-first PRs minimal
  • Keep samconfig.toml committed for deterministic deployments
  • Use environment-specific sections ([default], [prod]) instead of CLI flags
  • Map existing handler paths to SAM conventions during migration

Constraints and Warnings

  • SAM CLI must be installed locally for command execution
  • CAPABILITY_IAM is required when IAM resources are created
  • Container image packaging requires Docker availability
  • Existing projects may require refactoring handler paths to match SAM conventions
  • sam deploy --guided writes local configuration; review before committing

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 Sam Bootstrap AI skill do?

Provides AWS SAM bootstrap patterns: generates `template.yaml` and `samconfig.toml` for new projects via `sam init`, creates SAM templates for existing Lambda/CloudFormation code migration, validates build/package/deploy workflows, and configures local testing with `sam local invoke`. Use when the user asks about SAM projects, `sam init`, `sam deploy`, serverless deployments, or needs to bootstrap/migrate Lambda functions with SAM templates.

Why use Aws Sam Bootstrap on TypingMind?

Because you install it once and use it with any model. Aws Sam Bootstrap 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 Sam Bootstrap in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-aws/skills/aws/aws-sam-bootstrap. 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 Sam Bootstrap?

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 Sam Bootstrap?

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

Is the Aws Sam Bootstrap AI skill free?

Yes. It is published on GitHub by giuseppe-trisciuoglio under the MIT 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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