How do I install the Hcls Get Started skill?

Run npx skillmds@latest add aws-samples/hcls-get-started in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Hcls Get Started free to use?

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Who published Hcls Get Started?

aws-samples (@aws-samples) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Hcls Get Started by aws-samples — Agent Skill

Name: Hcls Get Started
Author: aws-samples

Hcls Get Started

Use when a developer asks how to get started building healthcare or life sciences agents, wants to understand the HCLS Agents Toolkit, or asks what's available in this repository. Also use when someone asks about genomics, drug discovery, clinical trials, or biomarker agents on AWS.

aws-samples 5c66fa7 3 files · 2.4 KB Updated Sep 17, 2026

File contents

Getting Started with the HCLS Agents Toolkit

When to use this skill

Developer asks "how do I build an HCLS agent?"
Developer asks "what agents are available for healthcare/life sciences?"
Developer wants to understand the toolkit's architecture and offerings

Overview

The HCLS Agents Toolkit provides three types of resources:

Skills — Domain workflow knowledge (this directory: skills/)
MCP Servers — Domain tools accessible from any MCP client (mcp-servers/)
Agent Catalog — 36+ production-ready deployed agents (agents_catalog/)

Choosing Your Path

Goal	Start here
Build a new HCLS agent from scratch	Use `hcls-build-agent` skill + `agentcore_template/`
Deploy an existing catalog agent	Pick from `agents_catalog/`, follow its README
Connect domain tools to your IDE	Configure MCP servers from `mcp-servers/`
Run HCLS workflows without deploying	Use skills + MCP servers directly in your assistant

Architecture

Agents are composed from:

Skills (knowledge) — SKILL.md files that teach workflows
MCP tools (actions) — deployed via AgentCore Gateway/Runtime or configured from public servers
Agent reasoning (orchestration) — system prompts + Strands framework + guardrails

Key References

Agent catalog: agents_catalog/ (36+ agents across genomics, drug discovery, clinical trials, etc.)
Deployment templates: agentcore_template/ (backend) or FAST (full-stack)
Framework: Strands Agents
Infrastructure: Amazon Bedrock AgentCore

Next Steps

Browse skills by domain: genomics, drug discovery, clinical trials, biomarker, terminology
Configure MCP servers for immediate tool access (see mcp-servers/aws-public/ and mcp-servers/third-party/)
Use hcls-build-agent skill when ready to build a custom agent
Use hcls-deploy-agent skill when ready to deploy to production

---name: hcls-get-starteddescription: Use when a developer asks how to get started building healthcare or life sciences agents, wants to understand the HCLS Agents Toolkit, or asks what's available in this repository. Also use when someone asks about genomics, drug discovery, clinical trials, or biomarker agents on AWS.---# Getting Started with the HCLS Agents Toolkit## When to use this skill- Developer asks "how do I build an HCLS agent?"- Developer asks "what agents are available for healthcare/life sciences?"- Developer wants to understand the toolkit's architecture and offerings## OverviewThe HCLS Agents Toolkit provides three types of resources:1. **Skills** — Domain workflow knowledge (this directory: `skills/`)2. **MCP Servers** — Domain tools accessible from any MCP client (`mcp-servers/`)3. **Agent Catalog** — 36+ production-ready deployed agents (`agents_catalog/`)## Choosing Your Path| Goal | Start here ||------|-----------|| Build a new HCLS agent from scratch | Use `hcls-build-agent` skill + `agentcore_template/` || Deploy an existing catalog agent | Pick from `agents_catalog/`, follow its README || Connect domain tools to your IDE | Configure MCP servers from `mcp-servers/` || Run HCLS workflows without deploying | Use skills + MCP servers directly in your assistant |## ArchitectureAgents are composed from:- **Skills** (knowledge) — SKILL.md files that teach workflows- **MCP tools** (actions) — deployed via AgentCore Gateway/Runtime or configured from public servers- **Agent reasoning** (orchestration) — system prompts + Strands framework + guardrails## Key References- Agent catalog: `agents_catalog/` (36+ agents across genomics, drug discovery, clinical trials, etc.)- Deployment templates: `agentcore_template/` (backend) or [FAST](https://github.com/awslabs/fullstack-solution-template-for-agentcore) (full-stack)- Framework: [Strands Agents](https://github.com/strands-agents/sdk-python)- Infrastructure: [Amazon Bedrock AgentCore](https://docs.aws.amazon.com/bedrock-agentcore/)## Next Steps1. Browse skills by domain: genomics, drug discovery, clinical trials, biomarker, terminology2. Configure MCP servers for immediate tool access (see `mcp-servers/aws-public/` and `mcp-servers/third-party/`)3. Use `hcls-build-agent` skill when ready to build a custom agent4. Use `hcls-deploy-agent` skill when ready to deploy to production

Frequently asked questions