google-cloud-solution-agentic-analytics-spark-knowledge-catalog

google-cloud-solution-agentic-analytics-spark-knowledge-catalog is a Data pipelines & ETL skill for AI agents, published by google in the skills repository on GitHub. Skillspace rates google-cloud-solution-agentic-analytics-spark-knowledge-catalog D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is accessed through federation mechanisms such as Apache Iceberg, other "zero-copy ETL" methods, or remote query push-down. Use this skill when designing an architecture for efficient analytics across large volumes of structured and unstructured data that's located in multiple systems and environments, including other cloud providers and on-premises.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
14,847

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubgoogle/skills

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Vendor-specific: built around one product. Guides designing agentic analytics across Google Cloud and other providers.

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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