AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment,
Installs just this skill. Get the whole plugin for auto-invocation.
โก How it fires
How this skill gets triggered: by you, by Claude, or both.
Fires itselfClaude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/aws-agentic-ai
๐๏ธ Context preview
The summary Claude sees to decide when to auto-load this skill.
AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment,
๐ Stats
Stars43,761
Forks6,465
LanguagePython
LicenseMIT
๐ฆ Ships with agentic-awesome-skills
</> SKILL.md
aws-agentic-ai.SKILL.md
---name: aws-agentic-ai
description: AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP...
risk: unknown
source: https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai
source_repo: zxkane/aws-skills
source_type: community
date_added: 2026-07-01
license: MIT
license_source: https://github.com/zxkane/aws-skills/blob/main/LICENSE
---# AWS Bedrock AgentCore
## When to Use
Use this skill when you need aWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP...
AWS Bedrock AgentCore provides a complete platform for deploying and scaling AI agents with nine core services. This skill covers service selection, deployment patterns, and integration workflows using AWS CLI.
**How to use this skill**: Identify the service(s) the user needs from the table below, then read the corresponding service README before responding. For cross-service patterns (credentials, security, registry integration), check the Cross-Service Resources section. Verify AWS-specific details using the MCP documentation tools.
Always verify AWS facts using MCP tools before answering. Two documentation sources are available:
- **AgentCore-specific docs** (`mcp__acdocs__*`) โ bundled with this plugin, provides `search_agentcore_docs` and `fetch_agentcore_doc` for AgentCore documentation
- **General AWS docs** (`mcp__aws-mcp__*` or `mcp__*awsdocs*__*`) โ loaded via the `aws-mcp-setup` dependency for broader AWS documentation
Prefer the AgentCore docs MCP for AgentCore-specific questions. If MCP tools are unavailable, guide the user through the `aws-mcp-setup` skill's setup flow.
| **Browser** | Web automation and scraping | [`services/browser/README.md`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/services/browser/README.md) |
| **Observability** | Tracing and monitoring | [`services/observability/README.md`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/services/observability/README.md) |
| **Agent Registry** | Catalog, discover, and govern agents/tools (Preview) | [`services/registry/README.md`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/services/registry/README.md) |
Read [`services/gateway/README.md`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/services/gateway/README.md) before implementing โ Gateway setup involves deployment strategies, IAM, and auth choices that vary significantly by use case.
1. Upload OpenAPI schema to S3
2. *(API Key auth only)* Create credential provider and store API key
3. Create gateway target linking schema (and credentials if using API key)
4. Verify target status and test connectivity
> Credential provider is only needed for API key authentication. Lambda targets use IAM roles, and MCP servers use OAuth.
### Managing Credentials
Read [`cross-service/credential-management.md`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/cross-service/credential-management.md) first โ credential patterns differ across services and getting them wrong causes hard-to-debug auth failures.
1. Use Identity service credential providers for all API keys
2. Link providers to gateway targets via ARN references
3. Rotate credentials quarterly through credential provider updates
4. Monitor usage with CloudWatch metrics
### Discovering Agents and Tools (Agent Registry)
Read [`services/registry/README.md`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/services/registry/README.md) first โ the registry has governance workflows, MCP endpoint options, and sync modes that affect how records become discoverable.
1. Create a registry to catalog your organization's AI resources
3. Submit records for approval (auto-approve for dev, manual for production)
4. Search and discover approved resources via CLI or MCP endpoint
> Agent Registry is in Preview. Available in us-east-1, us-west-2, eu-west-1, ap-northeast-1, ap-southeast-2.
### Evaluating Agent Quality
Read [`services/evaluations/README.md`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/services/evaluations/README.md) first โ evaluators, scoring modes, and IAM setup vary between online monitoring and on-demand testing.
1. Instrument the agent with OpenTelemetry (ADOT) for trace collection
2. Create evaluators (use built-in like `Builtin.Helpfulness` or create custom)
3. Set up online evaluation with sampling rate and data source
4. Monitor scores in CloudWatch dashboards; investigate low-scoring sessions
### Monitoring Agents
Read [`services/observability/README.md`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/services/observability/README.md) for the full monitoring setup โ observability configuration depends on your Runtime protocol and framework choice.
1. Enable observability for agents
2. Configure CloudWatch dashboards for metrics
3. Set up alarms for error rates and latency
4. Use X-Ray for distributed tracing
## Deep-Dive References
Each service README (linked in the table above) contains sub-links to getting-started guides, troubleshooting, and advanced topics. Start with the service README and follow pointers from there.
### Advanced Runtime & OAuth References
Deep-dive reference documentation for Runtime internals, deployment, OAuth integration, and communication protocols. Read these when building production Runtime deployments or configuring OAuth authentication:
- **Runtime Protocol Reference**: [`references/agentcore-runtime-protocols.md`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/references/agentcore-runtime-protocols.md) - HTTP, MCP, A2A, AG-UI protocol specifications with container contracts, endpoint specs, and selection guide
### Runnable Script Templates
Production-ready templates in [`scripts/`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/scripts/) for common deployment patterns:
| [`runtime-fastapi-template.py`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/scripts/runtime-fastapi-template.py) | HTTP | FastAPI Runtime with SSE streaming and MCPClient |
| [`mcp-server-template.py`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/scripts/mcp-server-template.py) | MCP | MCP Server with Streamable HTTP transport |
| [`a2a-server-template.py`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/scripts/a2a-server-template.py) | A2A | A2A Server with Agent Card discovery |
| [`agui-server-template.py`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/scripts/agui-server-template.py) | AG-UI | AG-UI Server with standard AG-UI event stream |
- **Agent Deployment with S3 Files**: [`cross-service/agent-persistence-patterns.md`](https://github.com/zxkane/aws-skills/tree/main/plugins/aws-agentic-ai/skills/aws-agentic-ai/cross-service/agent-persistence-patterns.md) - Deploy Strands Agents, OpenClaw, Claude Agent SDK on AgentCore with S3 Files and Session Storage