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google-cloud-solution-agentic-ai-data-science-workflowby GoogleOfficialDevelopmentGitHub stars: 21.2k

Google Cloud Agentic Data Science skill: what it does and how to install it

Designs multi-product Google Cloud architectures for agent-based data analytics and machine-learning workloads, from requirements through validation.

Summary generated from the skill's documentation.

Install

$ npx skills add google/skills --skill google-cloud-solution-agentic-ai-data-science-workflow

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Guides a four-phase Google Cloud workflow: discovers requirements, confirms a technical decomposition, selects an agent pattern and products, then produces a Mermaid architecture in solution-architecture-guide.md. It also generates Terraform or deployment scripts, Agents CLI commands, prerequisites and validation checks.

When to use it. Use for multi-product, agent-based data analytics or machine-learning workloads on Google Cloud. It does not apply to simple queries, non-agentic pipelines, general cloud reviews or writing agent code.

History

Repo stars

21.2kAbout +2.9k since 16 Jul 2026

Before 1 Oct 2026 the curve is estimated from public event data.

Stars are counted for the whole repository, which holds 86 skills.

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Repo stars by day
DateRepo stars
12 Oct 202621,200
11 Oct 202621,140
10 Oct 202621,101
9 Oct 202621,071
8 Oct 202621,041
7 Oct 202621,006
6 Oct 202620,967
5 Oct 202620,939
4 Oct 202620,924
3 Oct 202620,865
2 Oct 202620,592
1 Oct 202620,557
24 Sept 2026 (estimated)20,498
17 Sept 2026 (estimated)20,452
10 Sept 2026 (estimated)19,878
3 Sept 2026 (estimated)18,833
27 Aug 2026 (estimated)18,776
20 Aug 2026 (estimated)18,765
13 Aug 2026 (estimated)18,765
6 Aug 2026 (estimated)18,294
30 Jul 2026 (estimated)18,271
23 Jul 2026 (estimated)18,271
16 Jul 2026 (estimated)18,260

Installs

4.5k

Tracking since . A chart appears once there are 7 days of data.

Installs via skills.sh

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