Amazon S3 Tables let you create managed Iceberg tables. These tables have automatic compaction and snapshot management. You can query them with Athena and other Iceberg engines.
The skill walks you through every step. You create a table bucket, a namespace, and the table itself. You also register it in the AWS Glue catalog and set up partitioning and IAM access control.
Before you start, you can check for existing tables. The skill helps you avoid duplicates and choose the right path. It also points you to other skills for importing data or querying tables.
Global
mkdir -p ~/.claude/skills/creating-data-lake-tableProject
mkdir -p .claude/skills/creating-data-lake-tableSource Repository
Supabase Postgres Best Practicessupabase/agent-skills
Follow Supabase's expert guidelines for faster Postgres queries and smarter schema design
Firebase Data Connectfirebase/agent-skills
Build secure PostgreSQL backends with Firebase using GraphQL schemas and type-safe SDKs
Convex Migration Helperget-convex/agent-skills
Plan and run safe Convex schema migrations without downtime or data loss
Firebase Firestorefirebase/agent-skills
Master Cloud Firestore setup, queries, full-text search, security rules, and indexes
Neon Postgresneondatabase/agent-skills
Set up and manage Neon Serverless Postgres with ease and speed
Firebase Firestore Standardfirebase/agent-skills
Set up and secure Cloud Firestore with clear provisioning rules and SDK guides
Firebase Firestore Enterprise Native Modefirebase/agent-skills
Master Firestore Enterprise Native Mode provisioning data modeling security rules and SDK usage
Postgresql Table Designwshobson/agents
Design PostgreSQL tables with best practices for performance and reliability