ClaudeSuperPower

agentcore

Skill

Deep-dive into Amazon Bedrock AgentCore platform design, service selection, deployment, and production operations. This skill should be used when the user asks to "design an AgentCore architecture", "deploy agents on AgentCore", "configure AgentCore Runtime", "set up AgentCore Memory", "use AgentCor

Install

git clone https://github.com/aws-samples/sample-claude-code-plugins-for-startups.git ~/.claude/skills/agentcore

What is agentcore?

Deep-dive into Amazon Bedrock AgentCore platform design, service selection, deployment, and production operations. This skill should be used when the user asks to "design an AgentCore architecture", "deploy agents on AgentCore", "configure AgentCore Runtime", "set up AgentCore Memory", "use AgentCore Gateway", "configure AgentCore Identity", "set up AgentCore Policy", "plan agent observability", "evaluate agent quality", "move agent PoC to production", or mentions AgentCore, AgentCore Runtime, AgentCore Memory, AgentCore Gateway, AgentCore Identity, AgentCore Policy, AgentCore Evaluations, AgentCore Code Interpreter, AgentCore Browser, A2A protocol, or multi-agent orchestration on AWS.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~174 tokens of context used while enabled, before you invoke anything

Documentation

README · ~13 min read

Specialist guidance for Amazon Bedrock AgentCore. Covers the full platform: Runtime, Memory, Gateway, Identity, Policy, Code Interpreter, Browser, Observability, and Evaluations. Framework-agnostic and model-agnostic.

Process

  1. Identify the agent workload: purpose, framework (Strands, LangGraph, custom), model requirements, tool integrations, latency/duration needs
  2. Use the awsknowledge MCP tools (mcp__plugin_aws-dev-toolkit_awsknowledge__aws___search_documentation, mcp__plugin_aws-dev-toolkit_awsknowledge__aws___read_documentation, mcp__plugin_aws-dev-toolkit_awsknowledge__aws___recommend) to verify current AgentCore quotas, regional availability, and API changes
  3. Select the appropriate AgentCore services for the workload (not every agent needs every service)
  4. Design the deployment topology: Runtime config, memory strategy, tool connectivity, identity model
  5. Configure security: Identity, Policy (Cedar), VPC connectivity, guardrails
  6. Set up observability and evaluations from day one
  7. Plan the PoC-to-production migration path

AgentCore Service Selection Matrix

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