aws-strands-agents-agentcore
Use when working with AWS Strands Agents SDK or Amazon Bedrock AgentCore platform for building AI agents. Provides architecture guidance, implementation patterns, deployment strategies, observability, quality evaluations, multi-agent orchestration, and MCP server integration.
npx skills add majiayu000/claude-skill-registry --skill aws-strands-agents-agentcore --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AWS Strands Agents & AgentCore ## Overview **AWS Strands Agents SDK**: Open-source Python framework for building AI agents with model-driven orchestration (minimal code, model decides tool usage) **Amazon Bedrock AgentCore**: Enterprise platform for deploying, operating, and scaling agents in production **Relationship**: Strands SDK runs standalone OR with AgentCore platform services. AgentCore is optional but provides enterprise features (8hr runtime, streaming, memory, identity, observability). --- ## Quick Start Decision Tree ### What are you building? **Single-purpose agent**: - Event-driven (S3, SQS, scheduled) → Lambda deployment - Interactive with streaming → AgentCore Runtime - API endpoint (stateless) → Lambda **Multi-agent system**: - Deterministic workflow → Graph Pattern - Autonomous collaboration → Swarm Pattern - Simple delegation → Agent-as-Tool Pattern **Tool/Integration Server (MCP)**: - **ALWAYS** deploy to ECS/Fargate or AgentCore Runtime - **NEVER Lambda** (stateful, needs persistent connections) See **[architecture.md](references/architecture.md)** for deployment examples. --- ## Critical Constraints ### MCP Server Requirements 1. **Transport**: MUST use `str
- Overview
- Quick Start Decision Tree
- What are you building?
- Critical Constraints
- MCP Server Requirements
- Tool Count Limits
- Token Management
- Deployment Decision Matrix
- Multi-Agent Pattern Selection
- When to Read Reference Files
- [patterns.md](references/patterns.md)
- [observability.md](references/observability.md)
- [evaluations.md](references/evaluations.md)
- [limitations.md](references/limitations.md)
aws bedrock list-foundation-models --by-provider anthropic \ export AGENT_OBSERVABILITY_ENABLED=true export OTEL_PYTHON_DISTRO=aws_distro export OTEL_RESOURCE_ATTRIBUTES="service.name=my-agent" opentelemetry-instrument python agent.py
What does the aws-strands-agents-agentcore skill do?
Use when working with AWS Strands Agents SDK or Amazon Bedrock AgentCore platform for building AI agents. Provides architecture guidance, implementation patterns, deployment strategies, observability, quality evaluations, multi-agent orchestration, and MCP server integration.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill aws-strands-agents-agentcore --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.