amazon-location-servic…
Integrates Amazon Location Service APIs for AWS applications. Use this skill when users want to add maps (interactive MapLibre or…
Evaluate, configure, and migrate workloads to AWS Lambda Managed Instances (LMI). Triggers on: Lambda Managed Instances, LMI, capacity provider, multi-concurrency Lambda, dedicated instance Lambda, EC2-backed Lambda, cold start elimination, Graviton Lambda, instance type for
Claude Code
$ npx -y skills add awslabs/agent-plugins --skill aws-lambda-managed-instances --agent claude-code
Codex
$ npx skills add awslabs/agent-plugins --skill aws-lambda-managed-instances -a codex -y
Cursor
$ npx skills add awslabs/agent-plugins --skill aws-lambda-managed-instances -a cursor -y
Gemini CLI
$ npx skills add awslabs/agent-plugins --skill aws-lambda-managed-instances -a gemini-cli -y
GitHub Copilot
$ npx skills add awslabs/agent-plugins --skill aws-lambda-managed-instances -a github-copilot -y
OpenCode
$ npx skills add awslabs/agent-plugins --skill aws-lambda-managed-instances -a opencode -y
Windsurf
$ npx skills add awslabs/agent-plugins --skill aws-lambda-managed-instances -a windsurf -y
name: aws-lambda-managed-instances description: > Evaluate, configure, and migrate workloads to AWS Lambda Managed Instances (LMI). Triggers on: Lambda Managed Instances, LMI, capacity provider, multi-concurrency Lambda, dedicated instance Lambda, EC2-backed Lambda, cold start elimination, Graviton Lambda, instance type for Lambda, scheduled scaling for LMI, Lambda cost optimization with Reserved Instances or Savings Plans. Also trigger when users describe high-volume predictable workloads seeking cost savings, want to scale LMI capacity on a schedule, or compare Lambda vs EC2 for steady-state traffic. For standard Lambda without LMI, use the aws-lambda skill instead. argument-hint: "[describe your workload or what you need help with]" metadata: tags: lambda, lmi, managed-instances, ec2, capacity-provider, multi-concurrency, cost-optimization, scheduled-scaling
Run Lambda functions on current-generation EC2 instances in your account while AWS manages provisioning, patching, scaling, routing, and load balancing. Combines Lambda's developer experience with EC2's pricing and hardware options.
For standard Lambda development, see [aws-lambda skill](../aws-lambda/). For SAM/CDK deployment, see [aws-serverless-deployment skill](../aws-serverless-deployment/).
| Signal | LMI is a strong fit | Standard Lambda is better | | -------------- | --------------------------------------------------------------------------------------- | ------------------------------------------------------ | | Traffic | Steady, predictable, 50M+ req/mo | Bursty, unpredictable, long idle | | Cost | Duration-heavy spend at scale | Low or sporadic invocations | | Cold starts | Unacceptable (LMI eliminates for provisioned capacity; scale-out may have brief delays) | Tolerable or mitigated by SnapStart | | Compute | Latest CPUs, specific families, high network bandwidth | Standard Lambda memory/CPU sufficient | | Isolation | Dedicated EC2 instances in your account, full VPC control | Shared Firecracker micro-VMs acceptable | | Scale-to-zero | Not needed (execution environments always running) | Required (pay nothing when idle) | | Code readiness | Thread-safe (Node.js/Java/.NET) or any Python code | Non-thread-safe Node.js/Java/.NET, expensive to change |
Gather these signals before recommending:
1. **Traffic pattern**: Steady vs bursty? Requests per second? 2. **Current costs**: Monthly Lambda spend? Existing Savings Plans? 3. **Runtime**: Node.js, Java, .NET, or Python? 4. **Memory/CPU**: How much memory? CPU-bound or I/O-bound? 5. **Execution duration**: Average and P99? 6. **Concurrency readiness**: Thread safety (Node.js/Java/.NET)? Shared `/tmp` paths? Per-invocation DB connections? 7. **VPC**: Already in a VPC? Private resource access needed?
If Lambda Insights is enabled on the function, use these metrics to calculate your starting configuration. If Lambda Insights is not enabled, suggest adding it to gather accurate workload data — but only proceed with the user's explicit confirmation, as adding the Insights layer may affect function performance or cold start times.
To check if Lambda Insights is enabled, look for a LambdaInsightsExtension layer on the function. To add it, find the latest layer ARN for your region from the [Lambda Insights documentation](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/Lambda-Insights-extension-versions.html) and attach the `CloudWatchLambdaInsightsExecutionRolePolicy` managed policy to the function's execution role.
**Target max concurrency** (from `cpu_total_time` and `Duration`):
PerExecutionEnvironmentMaxConcurrency = floor((0.5 × Duration) / cpu_total_time)
This targets 50% CPU utilization at full concurrency, leaving headroom for scaling.
**Memory allocation** (from `memory_utilization` and current memory):
MemorySize = min(32768, max(2048, MaxConcurrency × (memory_utilization / 100) × current_allocated_memory))
This overestimates (assumes no shared base
Integrates Amazon Location Service APIs for AWS applications. Use this skill when users want to add maps (interactive MapLibre or…
Build and deploy full-stack web and mobile apps with AWS Amplify Gen2
Build, manage, and operate APIs with Amazon API Gateway (REST, HTTP, and WebSocket). Triggers on phrases like: API Gateway, REST…
Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry…
Build, run, debug, and operate applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute…
Design, build, deploy, test, and debug serverless applications with AWS Lambda. Triggers on phrases like: Lambda function, event…
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
Ask which skill or flow fits your situation. A router over the skills in this repo.