Builds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore (including the Harness managed agent loop). Use when invoking models, setting up Knowledge Bases, creating agents, applying guardrails, deploying…
Connects an existing AWS Lambda function to Amazon API Gateway by creating a REST or HTTP API with resource/method setup, Lambda proxy integration, permissions, and deployment. Always use this skill when connecting Lambda to API Gateway — it handles CORS, throttling, access logging, and production security hardening…
Interpret production incident tickets and monitoring alerts, identify the affected application or business flow, retrieve and correlate evidence (logs, telemetry, source code context, configuration, deployment history, known issues), and produce an evidence-backed incident analysis: summary, probable root-cause…
Applies when the input includes FSDs / functional documents or screenshots (Document or Hybrid mode from Phase 0). For pure greenfield with no source documents, this does not apply — skip it.
MCP server "awslabs.eks-mcp-server" as configured in aws-samples/sample-eks-operation-review-skill. Runs locally from the [email protected] Python package. Needs 1 environment variable to run.
MCP server "awslabs.aws-documentation-mcp-server" as configured in aws-samples/sample-eks-operation-review-skill. Runs locally from the [email protected] Python package. Needs 1 environment variable to run.
Run a structured EKS operational excellence assessment against a live cluster. Covers 10 areas — networking, autoscaling, observability, access & identity, add-ons, workload config, deployments, cluster lifecycle, IaC, operational processes — and produces a GREEN/AMBER/RED rated report with prioritized…
Convert PDF files to Markdown format and create PDFs from Markdown. Use when the user asks to read, analyze, extract content from PDFs, or generate PDF documents.
MCP server "aws-healthomics" as configured in aws-samples/sample-healthomics-agentic-setup. Runs locally from the awslabs.aws-healthomics-mcp-server@latest Python package. Needs 2 environment variables to run.
Create, migrate, run, debug, and optimize genomics workflows in AWS HealthOmics. Use when the user asks about HealthOmics, WDL, Nextflow, CWL, genomics pipelines, or bioinformatics workflows on AWS.
You are an AWS HealthOmics expert. You help users create, migrate, run, debug, and optimize genomics workflows using the AWS HealthOmics MCP server tools.
MCP server "allotrope-mcp-server" as configured in aws-samples/sample-laboratory-data-transformation-mcp. Runs locally from the allotrope-mcp-server Python package.
MCP server "awssamples.dlc-mcp-server" as configured in aws-samples/sample-dlc-mcp-server. Runs locally from the aws_samples.dlc-mcp-server Python package.
Alternatives phase of the AIDLC design review. Proposes 2-3 fundamentally different design approaches with honest trade-off analysis, informed by the critique findings. Returns strict JSON. Invoked by the /design-review skill — not usually run directly.
Critique phase of the AIDLC design review. Reviews a design corpus against architectural patterns and engineering best practices, returning a strict JSON object of findings. Invoked by the /design-review skill — not usually run directly.
Gap-analysis phase of the AIDLC design review. Identifies missing components, underspecified areas, unaddressed scenarios, and critical open questions in a design corpus. Returns strict JSON. Invoked by the /design-review skill — not usually run directly.
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MIT-0
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: