aws-agentic-ai
From sickn33
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...
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- sickn33/agentic-awesome-skills
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The instructions Claude Code reads when this skill runs.
# 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.
## AWS Documentation Requirement
Always verify AWS facts using MCP tools before answering. Two documentation sources are available:
- **AgentCore-specific docs** (`mcp__acdocs__*`) — bundled with this plugin, provides `search_agentcore_docs` and `fetch_agentcore_doc` for AgentCore documentation
- **General AWS docs** (`mcp__aws-mcp__*` or `mcp__*awsdocs*__*`) — loaded via the `aws-mcp-setup` dependency for broader AWS documentation
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