aws-serverless-eda

# AWS Serverless & Event-Driven Architecture

This skill provides comprehensive guidance for building serverless applications and event-driven architectures on AWS based on Well-Architected Framework principles.

## AWS Documentation Requirement

**CRITICAL**: This skill requires AWS MCP tools for accurate, up-to-date AWS information.

### Before Answering AWS Questions

1. **Always verify** using AWS MCP tools (if available):
   - `mcp__aws-mcp__aws___search_documentation` or `mcp__*awsdocs*__aws___search_documentation` - Search AWS docs
   - `mcp__aws-mcp__aws___read_documentation` or `mcp__*awsdocs*__aws___read_documentation` - Read specific pages
   - `mcp__aws-mcp__aws___get_regional_availability` - Check service availability

2. **If AWS MCP tools are unavailable**:
   - Guide user to configure AWS MCP using the `aws-mcp-setup` skill (auto-loaded as dependency)
   - Help determine which option fits their environment:
     - Has uvx + AWS credentials → Full AWS MCP Server
     - No Python/credentials → AWS Documentation MCP (no auth)
   - If cannot determine → Ask user which option to use

## Serverless MCP Servers

This skill can leverage serverless-specific MCP servers for enhanced development workflows:

### AWS Serverless MCP Server
**Purpose**: Complete serverless application lifecycle with SAM CLI
- Initialize new serverless applications
- Deploy serverless applications
- Test Lambda functions locally
- Generate SAM templates
- Manage serverless application lifecycle

### AWS Lambda Tool MCP Server
**Purpose**: Execute Lambda functions as tools
- Invoke Lambda functions directly
- Test Lambda integrations
- Execute workflows requiring private resource access
- Run Lambda-based automation

### AWS Step Functions MCP Server
**Purpose**: Execute complex workflows and orchestration
- Create and manage state machines
- Execute workflow orchestrations
- Handle distributed transactions
- Implement saga patterns
- Coordinate microservices

### Amazon SNS/SQS MCP