mcpbeat Sign in

AWS Lambda Agent Skill

Design, build, deploy, test, and debug serverless applications with AWS Lambda. Triggers on phrases like: Lambda function, event source, serverless application, API Gateway, EventBridge, Step Functions, serverless API, event-driven architecture, Lambda trigger. For deploying non-serverless apps to AWS, use deploy-on-aws plugin instead.

32k tokens
context cost
the whole folder, loaded on every use
10
files
instructions only
0
copies elsewhere
how many repositories repackaged it
850
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/awslabs/agent-plugins --skill aws-lambda

The instruction itself

18 sections, as written by the author

AWS Lambda Serverless Development

Design, build, deploy, and debug serverless applications with AWS serverless services. This skill provides access to serverless development guidance through the AWS Serverless MCP Server, helping you to build production-ready serverless applications with best practices built-in.

Use SAM CLI for project initialization and deployment, Lambda Web Adapter for web applications, or Event Source Mappings for event-driven architectures. AWS handles infrastructure provisioning, scaling, and monitoring automatically.

Key capabilities:

  • SAM CLI Integration: Initialize, build, deploy, and test serverless applications
  • Web Application Deployment: Deploy full-stack applications with Lambda Web Adapter
  • Event Source Mappings: Configure Lambda triggers for DynamoDB, Kinesis, SQS, Kafka
  • Lambda durable functions: Resilient multi-step applications with checkpointing — see the durable-functions skill for guidance
  • Lambda Managed Instances: Run Lambda on dedicated EC2 instances with managed lifecycle — see the managed-instances skill for evaluation, configuration, and migration guidance
  • Schema Management: Type-safe EventBridge integration with schema registry
  • Observability: CloudWatch logs, metrics, and X-Ray tracing
  • Performance Optimization: Right-sizing, cost optimization, and troubleshooting

When to Load Reference Files

Load the appropriate reference file based on what the user is working on:

  • Getting started, what to build, project type decision, or working with existing projects -> see references/getting-started.md
  • SAM, CDK, deployment, IaC templates, CDK constructs, or CI/CD pipelines -> see the aws-serverless-deployment skill (separate skill in this plugin)
  • Web app deployment, Lambda Web Adapter, API endpoints, CORS, authentication, custom domains, or sam local start-api -> see references/web-app-deployment.md
  • Event sources, DynamoDB Streams, Kinesis, SQS, Kafka, S3 notifications, or SNS -> see references/event-sources.md
  • EventBridge, event bus, event patterns, event design, Pipes, or schema registry -> see references/event-driven-architecture.md
  • Durable functions, checkpointing, replay model, saga pattern, or long-running Lambda workflows -> see the durable-functions skill (separate skill in this plugin with full SDK reference, testing, and deployment guides)
  • Lambda Managed Instances, LMI, capacity providers, multi-concurrency, EC2-backed Lambda, cold start elimination, or Lambda cost optimization with Reserved Instances -> see the managed-instances skill (separate skill in this plugin for evaluation, configuration, and migration)
  • Orchestration, workflows, or Durable Functions vs Step Functions -> see references/orchestration-and-workflows.md
  • Step Functions, ASL, state machines, JSONata, Distributed Map, SDK integrations, TestState API, mocking service integrations, or state machine unit tests -> see the aws-step-functions skill for comprehensive guidance
  • Observability, logging, tracing, metrics, alarms, or dashboards -> see references/observability.md
  • Optimization, cold starts, memory tuning, cost, or streaming -> see references/optimization.md
  • Powertools, idempotency, feature flags, parameters, parser, batch processing, or data masking -> see references/powertools.md
  • Troubleshooting, errors, debugging, or deployment failures -> see references/troubleshooting.md

Best Practices

Project Setup

  • Do: Use sam_init or cdk init with an appropriate template for your use case
  • Do: Set global defaults for timeout, memory, runtime, and tracing (Globals in SAM, construct props in CDK)
  • Do: Use AWS Lambda Powertools for structured logging, tracing, metrics (EMF), idempotency, and batch processing — available for Python, TypeScript, Java, and .NET
  • Don't: Copy-paste templates from the internet without understanding the resource configuration
  • Don't: Use the same memory and timeout values for all functions regardless of workload

Security

  • Do: Follow least-privilege IAM policies scoped to specific resources and actions
  • Do: Use secure_esm_* tools to generate correct IAM policies for event source mappings
  • Do: Store secrets in AWS Secrets Manager or SSM Parameter Store, never in environment variables
  • Do: Use VPC endpoints instead of NAT Gateways for AWS service access when possible
  • Do: Enable Amazon GuardDuty Lambda Protection to monitor function network activity for threats (cryptocurrency mining, data exfiltration, C2 callbacks)
  • Don't: Use wildcard (*) resource ARNs or actions in IAM policies
  • Don't: Hardcode credentials or secrets in application code or templates
  • Don't: Store user data or sensitive information in module-level variables — execution environments can be reused across different callers

Idempotency

  • Do: Write idempotent function code — Lambda delivers events at least once, so duplicate invocations must be safe
  • Do: Use the AWS Lambda Powertools Idempotency utility (backed by DynamoDB) for critical operations
  • Do: Validate and deduplicate events at the start of the handler before performing side effects
  • Don't: Assume an event will only ever be processed once

For topic-specific best practices, see the dedicated guide files in the reference table above.

Lambda Limits Quick Reference

Limits that developers commonly hit:

| Resource | Limit |

| -------------------------------------------- | ----------------------------------- |

| Function timeout | 900 seconds (15 minutes) |

| Memory | 128 MB – 10,240 MB |

| 1 vCPU equivalent | 1,769 MB memory |

| Synchronous payload (request + response) | 6 MB each |

| Async invocation payload | 1 MB |

| Streamed response | 200 MB |

| Deployment package (.zip, uncompressed) | 250 MB |

| Deployment package (.zip upload, compressed) | 50 MB |

| Container image | 10 GB |

| Layers per function | 5 |

| Environment variables (aggregate) | 4 KB |

| /tmp ephemeral storage | 512 MB – 10,240 MB |

| Account concurrent executions (default) | 1,000 (requestable increase) |

| Burst scaling rate | 1,000 new executions per 10 seconds |

Check Service Quotas for your account limits: aws lambda get-account-settings

Troubleshooting Quick Reference

| Error | Cause | Solution |

| ----------------------------------- | ------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------- |

| Build Failed | Missing dependencies | Run sam_build with use_container: true |

| Stack is in ROLLBACK_COMPLETE | Previous deploy failed | Delete stack with aws cloudformation delete-stack, redeploy |

| IteratorAge increasing | Stream consumer falling behind | Increase ParallelizationFactor and BatchSize. Use esm_optimize |

| EventBridge events silently dropped | No DLQ, retries exhausted | Add RetryPolicy + DeadLetterConfig to rule target |

| Step Functions failing silently | No retry on Task state | Add Retry with Lambda.ServiceException, Lambda.AWSLambdaException |

| Durable Function not resuming | Missing IAM permissions | Add lambda:CheckpointDurableExecution and lambda:GetDurableExecutionState — see durable-functions skill |

For detailed troubleshooting, see references/troubleshooting.md.

Configuration

AWS CLI Setup

This skill requires that AWS credentials are configured on the host machine:

Verify access: Run aws sts get-caller-identity to confirm credentials are valid

SAM CLI Setup

Container Runtime Setup

  • Install a Docker compatible container runtime: Required for sam_local_invoke and container-based builds
  • Verify: Use an appropriate command such as docker --version or finch --version

MCP Server Configuration

Write access is enabled by default. The plugin ships with --allow-write in .mcp.json, so the MCP server can create projects, generate IaC, and deploy on behalf of the user.

Access to sensitive data (like Lambda and API Gateway logs) is not enabled by default. To grant it, add --allow-sensitive-data-access to .mcp.json.

SAM Template Validation Hook

This plugin includes a PostToolUse hook that runs sam validate automatically after any edit to template.yaml or template.yml. If validation fails, the error is returned as a system message so you can fix it immediately. The hook requires SAM CLI and jq to be installed; if either is missing, validation is skipped with a system message. Users can disable it via /hooks.

Verify: Run jq --version

Language selection

Default: TypeScript

Override syntax:

  • "use Python" → Generate Python code
  • "use JavaScript" → Generate JavaScript code

When not specified, ALWAYS use TypeScript

IaC framework selection

Default: CDK

Override syntax:

  • "use CloudFormation" → Generate YAML templates
  • "use SAM" → Generate YAML templates

When not specified, ALWAYS use CDK

Serverless MCP Server Unavailable

  • Inform user: "AWS Serverless MCP not responding"
  • Ask: "Proceed without MCP support?"
  • DO NOT continue without user confirmation

Resources

Other skills for the same job

different authors, same section of the catalogue
Azure Kubernetes Automatic Readiness
by microsoft
vendor ×3

Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.

13k tokens
Capacity
by microsoft
vendor ×3

Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.

6k tokens scripts
Customize
by microsoft
vendor ×3

Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).

8k tokens
Deploy Model
by microsoft
vendor ×3

Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).

26k tokens scripts
Preset
by microsoft
vendor ×3

Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).

9k tokens
Lamindb
by christophacham
×3

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

22k tokens
Latchbio Integration
by christophacham
×3

Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.

12k tokens
Modal
by christophacham
×3

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

17k tokens

How to use it

Copy the folder

Take awslabs/aws-lambda from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.