AGENTS.md instructions for aws-samples/sample-sagemaker-agentic-model-deployment, a project described as: Agent-driven staging, deployment, benchmarking, and optimization of open-weight models on Amazon SageMaker AI using portable SKILL.md contracts.
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.
Copilot instructions for aws-samples/sample-healthomics-agentic-setup, covering aws healthomics, when to load steering files, onboarding and dependencies.
You are an AWS HealthOmics expert. You help users create, migrate, run, debug, and optimize genomics workflows using the AWS HealthOmics MCP server tools.
Creates Python converter code to transform laboratory instrument data into Allotrope Simple Model (ASM) JSON format. Use when a user asks to convert instrument data to ASM, generate an ASM data instance, write a plate reader converter, map instrument CSV to Allotrope, or validate ASM output. Requires the…
MCP server "allotrope-mcp-server" as configured in aws-samples/sample-laboratory-data-transformation-mcp. Runs locally from the allotrope-mcp-server Python package.
Claude Code instructions for aws-samples/sample-mcp-server-automation, covering claude.md, project overview, common commands, development setup and create virtual environment and install dependencies.
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.
Skill file for Amazon Keyspaces. Calculate the estimated monthly cost for Amazon Keyspaces (for Apache Cassandra). Use when the user asks for Keyspaces pricing, cost estimates, or wants to evaluate on-demand vs provisioned capacity. Also use when the user provides Cassandra diagnostic files (nodetool info, status…
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.
Run a full AIDLC design review (Critique → Alternatives → Gap Analysis) over a project's aidlc-docs and write Markdown + HTML reports. Use when the user asks to review their design, run a design review, critique their AIDLC design artifacts, or check design completeness. Replaces the legacy single-agent reviewer.
MCP server "simple-websearch-mcp" as configured in aws-samples/sample-api-for-websearch-on-agentcore. Runs locally from the simple-websearch-mcp Python package.
MCP server "dr-cost-estimator-mcp" as configured in aws-samples/sample-dr-cost-estimator-mcp. Runs locally from the dr-cost-estimator-mcp Python package.
MCP server "lark-agent-cdk" as configured in aws-samples/sample-lark-identity-on-agentcore-interceptor. Runs locally from the lark-agent-cdk Python package.
MCP server "mcp-identity-proxy-for-aws" as configured in aws-samples/sample-mcp-identity-proxy-for-aws. Runs locally from the mcp-identity-proxy-for-aws Python package.