Overview
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore, connecting tools, memory, policies, evaluation, debugging, and production hardening.
Detailed guide coming soon. We haven't written a full guide for this skill yet.
Related
Skill aws-core
Build, deploy, and operate applications on AWS. Skills to author infrastructure-as-code, use core services, and complete common tasks.
Skill aws-data-analytics
Data lake, analytics, and ETL workflows with S3 Tables, AWS Glue, and Athena.
Skill migration-to-aws
Plan a migration from Google Cloud Platform (and OpenAI/Gemini AI workloads) to AWS. Analyzes your Infrastructure-as-Code files, app code, and GCP billing data to discover resources, design an AWS architecture, estimate costs, and generate migration artifacts — including AI-provider mapping to Amazon Bedrock. Processing is local; your data stays in your environment.
Skill claude-mem-cowork
Claude-Mem for Cowork (Claude app cloud sessions) - hooks stream tool use to cmem.ai and inject observations into new sessions and agents
Skill firebase
Google Firebase MCP integration. Manage Firestore databases, authentication, cloud functions, hosting, and storage. Build and manage your Firebase backend directly from your development workflow.
Skill gitlab
GitLab DevOps platform integration. Manage repositories, merge requests, CI/CD pipelines, issues, and wikis. Full access to GitLab's comprehensive DevOps lifecycle tools.