creating-data-lake-table
creating-data-lake-table is a Data warehousing & modelling skill for AI agents, published by aws in the agent-toolkit-for-aws repository on GitHub. Skillspace rates creating-data-lake-table D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management. Sets up table bucket, namespace, table, schema, Glue catalog registration, partitioning, IAM access control. Triggers on: create table, data lake table, analytics table, structured data storage, S3 Tables, Iceberg, Athena table, partitioning strategy, access permissions. Do NOT use for: importing files (use ingesting-into-data-lake), vector storage (use storing-and-querying-vectors), querying existing tables (use querying-data-lake), or locating existing table (use finding-data-lake-assets).
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 1,855
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 5 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Amazon S3 Tables, Iceberg, Glue and Athena public AWS services
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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