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Found 323 Skills
Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing with LocalDurableTestRunner. Triggers on phrases like: lambda durable functions, workflow orchestration, state machines, retry/checkpoint patterns, long-running stateful Lambda functions, saga pattern, human-in-the-loop callbacks, and reliable serverless applications.
Orchestrate multi-service AWS workflows with autonomous agents. Coordinates across compute, storage, identity, and observability services for intelligent cloud automation.
Synthesize and generate AWS infrastructure as code using CDK. Creates composable infrastructure components and deployment patterns programmatically.
Monitor, analyze, and optimize AWS cloud costs. Tracks spending patterns, identifies optimization opportunities, and manages budgets with alerts and recommendations.
Expert-level AWS cloud architecture, services, security, cost optimization, and best practices
Use this skill when architecting on AWS, selecting services, optimizing costs, or following the Well-Architected Framework. Triggers on EC2, S3, Lambda, RDS, DynamoDB, CloudFront, IAM, VPC, ECS, EKS, SQS, SNS, API Gateway, and any task requiring AWS architecture decisions, service selection, or cost management.
Provision AWS infrastructure with Terraform. Create modules, manage state, and implement IaC best practices. Use when deploying AWS resources declaratively.
Generate subtitles (SRT/VTT) and plain text transcripts from video or audio files using AWS Transcribe. Use when creating captions, extracting spoken content, generating transcripts for notes, or making video content searchable.
(Public Preview) Perform code upgrades, migrations, codebase analysis, and transformations using AWS Transform custom. Use this skill when a user asks to upgrade, migrate, modernize, analyze, or transform code across a repository. ATX supports any-to-any transformations including language version upgrades (Java, Python, Node.js, Ruby, Go, .NET, etc.), framework upgrades and migrations (Spring Boot, React, Angular, Django, etc.), API and SDK migrations (AWS SDK v1 to v2, boto2 to boto3, JS SDK v2 to v3), library upgrades, code refactoring, architecture migrations (x86 to Graviton/ARM64), language-to-language translations, and custom organization-specific transformations. Executes transformations locally on the user's machine using the ATX CLI. Always use the ATX CLI following the reference files — never attempt to modify code, upgrade dependencies, or run analysis manually.
Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM). This is the primary interface for accessing HyperPod nodes — direct SSH is not available. Use when any skill, workflow, or user request needs to execute commands on cluster nodes, upload files to nodes, read/download files from nodes, run diagnostics, install packages, or perform any operation requiring shell access to HyperPod instances. Other HyperPod skills depend on this skill for all node-level operations.
Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens. Use as the default first step in any model customization plan. Skip only if the user explicitly declines or already has a use case specification to reuse. Captures problem statement, primary users, and LLM-as-a-Judge success tenets.
API gateway patterns and implementations. Kong, AWS API Gateway, NGINX as gateway, rate limiting, request routing, authentication offloading, and request/response transformation. USE WHEN: user mentions "API gateway", "Kong", "AWS API Gateway", "NGINX gateway", "gateway pattern", "request routing", "BFF" DO NOT USE FOR: reverse proxy basics - use infrastructure skills; service mesh - use `service-mesh`; rate limiting in app - use `rate-limiting`