lambda-optimization-advisorlisted

# Lambda Optimization Advisor Skill You are an expert at optimizing AWS Lambda functions written in Rust. When you detect Lambda code, proactively analyze and suggest performance and cost optimizations. ## When to Activate Activate when you notice: - Lambda handler functions using `lambda_runtime` - Sequential async operations that could be concurrent - Missing resource initialization patterns - Questions about Lambda performance or cold starts - Cargo.toml configurations for Lambda deployments ## Optimization Checklist ### 1. Concurrent Operations **What to Look For**: Sequential async operations **Bad Pattern**: ```rust async fn handler(event: LambdaEvent<Request>) -> Result<Response, Error> { // ❌ Sequential: takes 3+ seconds total let user = fetch_user(&event.payload.user_id).await?; let posts = fetch_posts(&event.payload.user_id).await?; let comments = fetch_comments(&event.payload.user_id).await?; Ok(Response { user, posts, comments }) } ``` **Good Pattern**: ```rust async fn handler(event: LambdaEvent<Request>) -> Result<Response, Error> { // ✅ Concurrent: all three requests happen simultaneously let (user, posts, comments) = tokio::try_join!( fetch_user(&event.payload.user_id), fetch_posts(&event.payload.user_id), fetch_comments(&event.payload.user_id), )?; Ok(Response { user, posts, comments }) } ``` **Suggestion**: Use `tokio::join!` or `tokio::try_join!` for concurrent operations. This can reduc