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.