federate-lakehouse-catalog
federate-lakehouse-catalog is a Data warehousing & modelling skill for AI agents, published by gemini-cli-extensions in the data-agent-kit-starter-pack repository on GitHub. Skillspace rates federate-lakehouse-catalog D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Sets up Google Cloud Lakehouse federated catalogs to remote Iceberg REST Catalogs. Currently supported catalogs: Databricks Unity, AWS Glue. Supported clouds hosting those catalogs: GCP, AWS. The primary use case is connecting to remote data to query it from GCP engines (BigQuery, Spark). Examples of when to use this: "federate my lakehouse catalog to databricks", "query data in databricks", "query data in s3", "connect to aws glue". Do NOT use for direct remote database SQL execution (e.g., Databricks SQL) or managing remote clusters and infrastructure (e.g., Databricks clusters, AWS Glue jobs).
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 140
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
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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