What problem does it solve?
Choosing among 15+ AWS database services is error-prone, and AI training data often contains outdated facts about pricing, features, and limitations. This Skill routes any AWS database question to the correct decision procedure or service-specific skill, grounding answers in maintained knowledge cards instead of stale general knowledge.
Core Features & Use Cases
- Database Selection Guidance: Matches workloads to the right service across relational (Aurora, DSQL, RDS), key-value (DynamoDB), wide-column (Keyspaces), document (DocumentDB), graph (Neptune), time-series (Timestream), and in-memory (ElastiCache, MemoryDB) models, with distinct paths for new applications, migrations, and refactors.
- Service Skill Handoff: Loads deeper service-specific skills via local install, AWS MCP server, or the Agent Toolkit CLI before giving operational guidance on provisioning, configuration, or troubleshooting.
- Verified Facts via Knowledge Cards: Answers quick questions on pricing, free tiers, limitations, and GA status from per-service knowledge cards, falling back to AWS documentation tools.
- Use Case: A developer says "I'm building a serverless app that needs a SQL database." The Skill disambiguates serverless operations vs. capacity, compares Aurora DSQL against Aurora PostgreSQL, recommends one with a credible alternative, and offers to load the service skill for setup.
Quick Start
Ask the agent which AWS database to use for your application, describing your data model, scale expectations, and whether it is a new build, migration, or refactor.