go-aws-serverless-development

Standardize Go-based AWS serverless development with Terraform and layered testing.

Updated Apr 19, 2026
One-click install
npx skills add https://github.com/dmarins/sdd --skill go-aws-serverless-development
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: go-aws-serverless-development
Source: https://github.com/dmarins/sdd/tree/main/skills/go-aws-serverless-development
Command: npx skills add https://github.com/dmarins/sdd --skill go-aws-serverless-development

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the complexity of managing serverless architectures by providing a structured, repeatable workflow for Go-based AWS projects, ensuring consistency across infrastructure and application code.

Core Features & Use Cases

  • Prescriptive Workflow: Standardizes the development lifecycle from specification to deployment for serverless components.
  • Layered Validation: Enforces testing strategies that span unit, integration, and end-to-end checks to ensure reliability in cloud environments.
  • Use Case: When building a new Lambda function triggered by an S3 event, use this skill to ensure the Terraform infrastructure, Go handler logic, and CI/CD quality gates are implemented according to the project's established patterns.

Quick Start

Activate the go-aws-serverless-development skill to guide the implementation of a new API Gateway endpoint and its associated Lambda function using the project's existing patterns.

Frequently Asked Questions about go-aws-serverless-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I standardize Go AWS serverless development with Terraform?

Standardize Go AWS serverless development by applying a structured workflow that governs infrastructure-as-code and application logic. This enforces project-specific architectural consistency across Lambdas and event-driven integrations from specification through deployment.

What is the best way to structure Go Lambda functions and Terraform infrastructure?

The best way to structure Go Lambda functions and Terraform infrastructure is using a prescriptive workflow. This aligns handler logic and event-driven integrations with established project patterns, ensuring repeatable infrastructure-as-code deployment.

How does multi-layered validation work for Go serverless applications?

Multi-layered validation for Go serverless applications works by enforcing testing strategies across unit, integration, and end-to-end checks. This ensures high reliability in cloud environments before infrastructure deployment.

Can I use this approach to build an S3-triggered Lambda in Go?

Yes, you can use this approach to build an S3-triggered Lambda in Go. The workflow ensures both the Terraform infrastructure configuration and the Go handler logic adhere to your project's established architectural patterns.

Do I need existing reference patterns to implement AWS serverless workflows in Go?

Yes, you need existing local reference patterns. The workflow requires adherence to these project-specific patterns to maintain architectural consistency when implementing Lambdas and event-driven integrations.

When should I not use a prescriptive workflow for Go serverless applications?

You should avoid a prescriptive workflow for Go serverless applications when your project requires highly customized or non-standard infrastructure-as-code patterns. This approach strictly enforces multi-layered validation and architectural consistency, limiting ad-hoc configurations.