aws-lambda
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.
What this skill does
# 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](../aws-lambda-durable-functions/) for guidance - **Lambda Managed Instances**: Run Lambda on dedicated EC2 instances with managed lifecycle — see the [managed-instances skill](../aws-lambda-managed-instances/) 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](references/getting-started.md) - **SAM**, **CDK**, **deployment**, **IaC templates**, **CDK constructs**, or **CI/CD pipelines** -> see the [aws-serverless-deployment skill](../aws-serverless-deployment/) (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](references/web-app-deployment.md) - **Event sources**, **DynamoDB Streams**, **Kinesis**, **SQS**, **Kafka**, **S3 notifications**, or **SNS** -> see [references/event-sources.md](references/event-sources.md) - **EventBridge**, **event bus**, **event patterns**, **event design**, **Pipes**, or **schema registry** -> see [references/event-driven-architecture.md](references/event-driven-architecture.md) - **Durable functions**, **checkpointing**, **replay model**, **saga pattern**, or **long-running Lambda workflows** -> see the [durable-functions skill](../aws-lambda-durable-functions/) (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](../aws-lambda-managed-instances/) (separate skill in this plugin for evaluation, configuration, and migration) - **Orchestration**, **workflows**, or **Durable Functions vs Step Functions** -> see [references/orchestration-and-workflows.md](references/orchestration-and-workflows.md) - **Step Functions**, **ASL**, **state machines**, **JSONata**, **Distributed Map**, or **SDK integrations** -> see [references/step-functions.md](references/step-functions.md) - **Step Functions testing**, **TestState API**, **mocking service integrations**, or **state machine unit tests** -> see [references/step-functions-testing.md](references/step-functions-testing.md) - **Observability**, **logging**, **tracing**, **metrics**, **alarms**, or **dashboards** -> see [references/observability.md](references/observability.md) - **Optimization**, **cold starts**, **memory tuning**, **cost**, or **streaming** -> see [references/optimization.md](references/optimization.md) - **Powertools**, **idempotency**, **feature flags**, **parameters**, **parser**, **batch processing**, or **data masking** -> see [references/powertools.md](references/powertools.md) - **Troubleshooting**, **errors**, **debugging**, or **deployment failures** -> see [references/troubleshooting.md](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
Related in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
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plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
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