aws-samples/amazon-bedrock-agents-healthcare-lifesciences/hcls-deploy-agent

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Use when a developer wants to deploy an HCLS agent to Amazon Bedrock AgentCore, configure Gateway tools as MCP endpoints, set up authentication with Cognito, configure memory, or register an agent in the AgentCore Registry. Also use for deployment troubleshooting.

Install

npx vskill@latest install aws-samples/amazon-bedrock-agents-healthcare-lifesciences/hcls-deploy-agent

SKILL.md

Deploying an HCLS Agent

When to use this skill

  • Developer asks "how do I deploy this agent?"
  • Developer needs to configure AgentCore Gateway, Runtime, Memory, or Identity
  • Developer wants to expose tools as MCP endpoints
  • Developer wants to register an agent in the AgentCore Registry

Deployment Components

AgentCore Deployment
├── Runtime — Hosts the agent container
├── Gateway — Exposes tools as MCP endpoints (Lambda targets)
├── Memory — Conversation persistence (semantic, summary, preferences)
├── Identity — Cognito OAuth2 authentication
└── Registry — Agent discovery for multi-agent workflows

Steps

1. Prerequisites
bash
# Install AgentCore CLI
pip install bedrock-agentcore
# Configure
agentcore configure --entrypoint main.py \
-rf agent/requirements.txt \
-er <IAM_ROLE_ARN> \
--name <agent-name>
2. Deploy Infrastructure

Run the prerequisite script (creates Lambda tools, Cognito, Gateway):

bash
./scripts/prereq.sh

This deploys CloudFormation stacks for:

  • Lambda functions (tool handlers)
  • IAM roles (agent execution, Gateway invocation)
  • Cognito user pool (OAuth2 authentication)
  • AgentCore Gateway (MCP endpoint with tool targets)
  • AgentCore Memory (conversation persistence)
3. Deploy Agent Runtime
bash
# Remove stale config
rm -f .agentcore.yaml
# Launch (builds container, pushes to ECR, deploys to Runtime)
agentcore launch
4. Verify
bash
# Invoke the deployed agent
agentcore invoke '{"prompt": "Hello, can you help me?"}'
# Test Gateway tools independently
python tests/test_gateway.py --prompt "Test query"
# Test memory
python tests/test_memory.py load-conversation
5. Register in AgentCore Registry (optional)

For multi-agent discovery, register the agent:

python
import boto3
client = boto3.client('bedrock-agentcore')
client.create_registry_record(
registryName="hcls-registry",
recordName="<agent-name>",
description="<rich description for semantic search>",
descriptorType="MCP", # or "A2A" for agent-to-agent
descriptors={...}
)

Deployment Templates

TemplateWhat it deploys
agentcore_template/Backend: Runtime + Gateway + Memory + Streamlit UI
FASTFull-stack: React/Amplify + Cognito + AgentCore + CDK

AWS MCP Servers Used

When deploying, the following AWS MCP servers help:

  • agentcore-docs — API reference for Gateway/Runtime/Memory/Registry
  • aws-mcp — create IAM roles, manage CloudFormation stacks, configure S3
  • strands-docs — framework patterns for agent code

References

  • Deployment scripts: agentcore_template/scripts/
  • Full deployment example: agents_catalog/28-Research-agent-biomni-gateway-tools/scripts/prereq.sh
  • FAST template deployment: agents_catalog/35-Terminology-agent/

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
272
Repository forks
113
7-day trend score
28

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/hcls-deploy-agent/badge)](https://verified-skill.com/skills/aws-samples/amazon-bedrock-agents-healthcare-lifesciences/hcls-deploy-agent)

Something wrong with this skill or its page? Tell us.