Does this skill support runtimes other than Python?

Yes. While the code examples feature Python and boto3, the core architectural patterns and AWS CLI commands apply to all Lambda-supported runtimes including Node.js, Java, and Go.

How does it help with Lambda security?

It provides best practices for implementing least-privilege IAM roles, managing resource-based policies, and securely handling environment variables with KMS.

Can I use this skill to reduce Lambda cold starts?

Absolutely. The skill includes specific documentation and commands for implementing Provisioned Concurrency and optimizing deployment package sizes.

Does it support complex event source mappings?

Yes, it provides detailed CLI references for creating and managing event source mappings for SQS, Kinesis, and DynamoDB Streams, including batch settings.

AWS Lambda Management

Name: AWS Lambda Management
Author: itsmostafa

byitsmostafa

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963

云基础设施

Streamlines the creation, configuration, and optimization of AWS Lambda serverless functions and event-driven architectures.

关于

This skill empowers Claude to manage the entire AWS Lambda lifecycle, from initial function deployment and execution role configuration to advanced optimization and troubleshooting. It provides robust patterns for both the AWS CLI and boto3, enabling developers to easily set up event source mappings for services like S3 and SQS, manage reusable layers, and fine-tune performance settings. Whether you are debugging a timeout error or implementing provisioned concurrency to eliminate cold starts, this skill offers the domain-specific guidance needed to build scalable serverless applications.

主要功能

Comprehensive layer management for shared dependencies and custom runtimes
End-to-end function lifecycle management using AWS CLI and Python (boto3)
Seamless configuration of event triggers for S3, SQS, and EventBridge
Detailed troubleshooting workflows for permissions, timeouts, and VPC connectivity
Performance tuning tools for memory right-sizing and cold start mitigation
963 GitHub stars

使用场景

Architecting event-driven data pipelines triggered by cloud storage or message queues
Optimizing existing serverless functions for cost and performance using Graviton2 and Provisioned Concurrency
Deploying and updating serverless microservices with optimized execution environments

关于

主要功能

Comprehensive layer management for shared dependencies and custom runtimes
End-to-end function lifecycle management using AWS CLI and Python (boto3)
Seamless configuration of event triggers for S3, SQS, and EventBridge
Detailed troubleshooting workflows for permissions, timeouts, and VPC connectivity
Performance tuning tools for memory right-sizing and cold start mitigation
963 GitHub stars

使用场景

Architecting event-driven data pipelines triggered by cloud storage or message queues
Optimizing existing serverless functions for cost and performance using Graviton2 and Provisioned Concurrency
Deploying and updating serverless microservices with optimized execution environments