google-cloud-solution-agentic-ai-data-science-workflow
google-cloud-solution-agentic-ai-data-science-workflow is a Cloud platforms skill for AI agents, published by google in the skills repository on GitHub. Skillspace rates google-cloud-solution-agentic-ai-data-science-workflow D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when architecting multi-product solutions for agent-based data analytics or ML workloads. Don't use for simple queries, non-agentic pipelines, general cloud reviews, or writing agent code.
- 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.
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. Designs agentic data-science architecture on Google Cloud's platform.
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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