Individual skill
google-cloud-solution-agentic-ai-data-science-workflow
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.
skills/cloud/google-cloud-solution-agentic-ai-data-science-workflow/SKILL.md
Source commit 496fbede89dac1faf0d180a936bfc472b6fbf886
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- Last checked
- Nov 4, 2026
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- Repository stars (not skill ratings)
- 23,440
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- google Repository topic
- googlecloud Repository topic
- skills Repository topic
- data Derived category
- engineering Derived category
- operations Derived category
- writing Derived category
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SKILL.mdcore · 11,424 bytesSKILL.mdcore · 11,424 bytesassets/output-template.mddoc · 7,924 bytesreferences/attribution.mddoc · 2,010 bytesreferences/design-recommendations.mddoc · 4,902 bytesreferences/product-mapping.mddoc · 3,164 bytes
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# Data science workflow with AI agents solution
This skill guides agents through the workflow to design and implement a
tailored multi-product solution in the cloud for a given workload, use case, or
requirement.
## Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read and follow the instructions in
[Usage Attribution](references/attribution.md).
## Workflow
