Aws Agentic Ai
Skill Verified ActiveAWS 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 tool integration, credential management, agent discovery, governance workflows, and automated quality assessment. Essential when user mentions AgentCore, agent runtime, agent registry, agent evaluation, MCP gateway, deploy agent, register MCP server, discover agents, evaluate agent quality, agent credentials, or wants to build, deploy, catalog, or monitor AI agents on AWS.
To serve as a comprehensive expert for deploying and managing AI agents at scale using AWS Bedrock AgentCore services, facilitating integration, credential management, and governance.
Features
- Deployment and management of AWS Bedrock AI agents
- Integration with nine core AgentCore services (Gateway, Runtime, Memory, etc.)
- Guidance on credential management and security patterns
- Coverage of agent discovery, governance, and quality assessment workflows
- Utilizes AWS CLI and MCP protocols for interaction
Use Cases
- Deploying AI agents using AWS Bedrock AgentCore
- Managing agent runtime, memory, and identity services
- Integrating AI agents with MCP gateway and tools
- Cataloging, discovering, and governing AI agents via Agent Registry
- Assessing and monitoring agent quality
Non-Goals
- Providing agents that operate outside the AWS Bedrock AgentCore ecosystem
- Managing the underlying AWS infrastructure beyond what AgentCore requires
- Developing custom AI models or frameworks not compatible with AgentCore
Installation
First, add the marketplace
/plugin marketplace add zxkane/aws-skills/plugin install aws-agentic-ai@aws-skillsQuality Score
VerifiedTrust Signals
Similar Extensions
TradeMemory Protocol
100Domain knowledge for the Evolution Engine — LLM-powered autonomous strategy discovery from raw OHLCV data. Covers the generate-backtest-select-evolve loop, vectorized backtesting, out-of-sample validation, and strategy graduation. Use when discovering trading patterns, running backtests, evolving strategies, or reviewing evolution logs. Triggers on "evolve", "discover patterns", "backtest", "evolution", "strategy generation", "candidate strategy".
Aws Cdk Development
100AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.
Agentcore Investigation
85Investigate Bedrock AgentCore runtime sessions via CloudWatch Logs Insights — resolve session/trace IDs, query OTEL spans, filter noise, build timelines. Use when debugging AgentCore agent sessions, tracing tool calls, or analyzing latency.
Trader Regime
100Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy
Trading Memory
100Domain knowledge for AI trading memory — Outcome-Weighted Memory (OWM) architecture, 5 memory types, recall scoring, and behavioral analysis. Use when recording trades, recalling similar contexts, analyzing performance, or checking behavioral drift. Triggers on "record trade", "remember trade", "recall", "similar trades", "performance", "behavioral", "disposition", "affective state", "confidence".
Image Transformation API
100Transform images with resize, crop, smart crop, upscale, remove background, and 20+ operations.