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Patterns and examples to build, optimize, and deploy Python AWS Lambda functions with a focus on cold-start performance and clean project structure.
Provides concrete patterns and examples for building Python-based AWS Lambda functions. Covers both framework-based (AWS Chalice) and minimal raw-Python handlers, with practical advice for cold-start optimization, connection management, logging, error handling, and deployment using SAM/Serverless/Chalice.
Use this skill when creating new Python Lambdas, migrating apps to Lambda, troubleshooting slow cold starts, or configuring API Gateway/ALB integrations and CI/CD deployments. Triggers include deploying a Python lambda, optimizing cold starts, or choosing between Chalice and raw handlers.
references/ with implementation guides and testing/deployment docs (has_references=true)Best suited for agents that operate on developer repositories and CI workflows (e.g., Claude Code, GitHub CLI automation agents, Copilot-style automation) that can read repo files and suggest edits or generate deployment configs.
This skill has not been reviewed by our automated audit pipeline yet.
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