
from powertools-mcp43
Guidance and utilities for building AWS Lambda functions with best practices: structured logging, X-Ray tracing, EMF metrics, idempotency and batch processing a
Powertools for AWS Lambda provides prescriptive guidance and patterns for building robust serverless functions. It distills logging, tracing, metrics (EMF), idempotency, batch processing and common event handlers so agents can generate and review Lambda code that follows operational best practices across Python, TypeScript, Java and .NET runtimes.
Use this skill when authoring or reviewing AWS Lambda functions, implementing structured JSON logging, adding X-Ray distributed tracing, emitting CloudWatch-embedded metrics, handling SQS/Kinesis/DynamoDB Streams batch processing, or applying idempotency patterns. Also helpful when building REST/GraphQL handlers, AppSync resolvers, or Bedrock Agent function integrations.
This skill is authoring-focused: works well with code-capable LLMs and code assistants (Claude Code, Copilot/GitHub Copilot, Codex/GPT-Code models, Gemini Code).
This skill has not been reviewed by our automated audit pipeline yet.