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architecture-knowledge

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Aktualisiert14. April 2026 um 10:34

Deep knowledge about AI agent architectures, AWS services, memory patterns, and best practices. Use as reference when answering technical questions.

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Quelle

aws-samples

aws-samples/sample-agent-greenhouse

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

SoftwareentwicklerInformatik- und Mathematikberufe·SOC 15-1252

SKILL.md

readonly

name	architecture-knowledge
description	Deep knowledge about AI agent architectures, AWS services, memory patterns, and best practices. Use as reference when answering technical questions.

Architecture Knowledge

AgentCore Runtime

Managed container runtime for AI agents
Supports Strands SDK, LangChain, and custom frameworks
Request-driven model (invoke_agent_runtime API)
Session-based with automatic scaling (including scale-to-zero)
Memory integration (STM events + LTM strategy extraction)

Memory Architecture (Plato Design)

Platform files (SOUL.md, IDENTITY.md) → baked into container image
User memory → AgentCore Memory with namespace isolation
STM: Conversation events per session (list_events / create_event)
LTM: Extracted records from 4 strategies (Semantic, UserPreference, Summary, Episodic)
Namespace isolation: /actors/{actorId}/ for server-side filtering
Explicit memory: save_memory / recall_memory tools for high-value facts

Slack Integration Pattern

API Gateway → Lambda (3s ack) → SQS → Worker Lambda (15min) → AgentCore
Session ID: thread-based for shared context, channel+user for non-thread
Actor ID: Slack user ID for memory isolation

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Guide developer teams through AIDLC Inception — structured requirements gathering, design, and artifact generation

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code-review

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Reviews agent code for security vulnerabilities, quality issues, and agent-specific best practices. Checks for prompt injection, credential exposure, unsafe execution, error handling, and testing.

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debug

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Debugging specialist for AgentCore deployments: container failures, IAM permission errors, runtime exceptions, networking issues, and performance problems. Use when developers report errors, crashes, deployment failures, or need help troubleshooting their agent applications.

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deployment-config

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Generates deployment configurations for Amazon Bedrock AgentCore. Produces Dockerfiles, IAM policies, CDK stacks, buildspec files, runtime configs, and environment variable templates following AWS security best practices and least-privilege principles.

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design-advisor

aws-samples/sample-agent-greenhouse

Reviews agent applications for platform deployment readiness. Checks containerization, secrets, config, health endpoints, statefulness, error handling, dependencies, and security.

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fleet-ops

aws-samples/sample-agent-greenhouse

Fleet operations specialist for agent restart, scaling, graceful draining, and capacity planning. Use when teams need to restart agents, scale the fleet up or down, drain agents for maintenance, or plan capacity.

2026-05-1721

name	architecture-knowledge
description	Deep knowledge about AI agent architectures, AWS services, memory patterns, and best practices. Use as reference when answering technical questions.

Architecture Knowledge

AgentCore Runtime

Managed container runtime for AI agents
Supports Strands SDK, LangChain, and custom frameworks
Request-driven model (invoke_agent_runtime API)
Session-based with automatic scaling (including scale-to-zero)
Memory integration (STM events + LTM strategy extraction)

Memory Architecture (Plato Design)

Platform files (SOUL.md, IDENTITY.md) → baked into container image
User memory → AgentCore Memory with namespace isolation
STM: Conversation events per session (list_events / create_event)
LTM: Extracted records from 4 strategies (Semantic, UserPreference, Summary, Episodic)
Namespace isolation: /actors/{actorId}/ for server-side filtering
Explicit memory: save_memory / recall_memory tools for high-value facts

Slack Integration Pattern

API Gateway → Lambda (3s ack) → SQS → Worker Lambda (15min) → AgentCore
Session ID: thread-based for shared context, channel+user for non-thread
Actor ID: Slack user ID for memory isolation