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Found 441 Skills
Amazon Redshift is NOT PostgreSQL — corrects PostgreSQL-derived LLM mistakes; covers Redshift-specific SQL, DDL, COPY/UNLOAD, system views, metadata discovery, and operational patterns. Applies ONLY when the task is about Redshift itself (cluster, Serverless workgroup, or Redshift SQL). Pushes back on: CREATE INDEX, string_agg, pg_catalog, text type, SERIAL, stl_query, LATERAL, RETURNING. Triggers on: Redshift SQL, Redshift CREATE TABLE, Redshift COPY/UNLOAD, slow Redshift query, Redshift permission denied, Redshift disk full, Redshift system views, QUALIFY, PIVOT, MERGE, Redshift Data API, Redshift WLM, concurrency scaling, Redshift resize, Redshift Spectrum external tables. Does NOT apply to (defer to that service's own skill): Amazon S3 storage/bucket policies, Athena or Glue queries/catalogs, data-lake or Iceberg work outside Redshift, Aurora, RDS, or DynamoDB — but S3/Glue ARE in scope for Redshift COPY, UNLOAD, or data-lake queries (external schemas/tables on S3).
Configures Amazon SES V2 for production email sending — including domain identity creation, DKIM/SPF/DMARC authentication, one-shot DNS record presentation, and Route 53 automation — for developers setting up or troubleshooting SES domain verification and deliverability. Applicable when developers need to send emails from their domain via SES, verify a domain identity, configure email authentication, troubleshoot DKIM verification issues, or ensure their sending setup follows best practices. Not for email-address-only verification, Mail Manager inbound routing, SNS, Pinpoint, or WorkMail.
Implement blue-green deployment strategies for zero-downtime releases with instant rollback capability and traffic switching between environments.
Amazon EventBridge integration. Manage data, records, and automate workflows. Use when the user wants to interact with Amazon EventBridge data.
Configure WireGuard, OpenVPN, and cloud VPNs. Implement secure remote access and site-to-site connectivity. Use when setting up secure network tunnels.
Launch and configure EC2 instances with security groups, IAM roles, key pairs, AMIs, and auto-scaling. Use for virtual servers and managed infrastructure.
Create IoT architecture diagrams using PlantUML syntax with device/sensor stencil icons. Best for smart home, industrial IoT (IIoT), fleet management, edge computing, and sensor network diagrams. NOT for general cloud infra (use cloud skill) or simple flowcharts (use mermaid).
Manage S3 buckets with versioning, encryption, access control, lifecycle policies, and replication. Use for object storage, static sites, and data lakes.
Build Windows images with Packer using WinRM communicator and PowerShell provisioners. Use when creating Windows AMIs, Azure images, or VMware templates.
Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.
Distribute content globally using CloudFront with caching, security headers, WAF integration, and origin configuration. Use for low-latency content delivery.
Optimize cloud infrastructure costs through resource rightsizing, reserved instances, spot instances, and waste reduction strategies.