skill CX Codex

google-cloud-data-engineering-hub — Claude Code skill for GCP pipelines

Q: How do I install google-cloud-data-engineering-hub in Claude Code?

Run `npx skills add reason-machines/data-skills --skill google-cloud-data-engineering-hub -a claude-code`. The skill file lands at `~/.claude/skills/google-cloud-data-engineering-hub/SKILL.md`.

Q: What do I need before using it?

Python 3.10+, the `gcloud` CLI, and a GCP project with billing enabled and suitable IAM permissions. Install each project's dependencies from its own `requirements.txt`.

A skill that hands your coding agent a reference set of working GCP data projects: BigQuery, Dataflow, Beam, Composer, Pub/Sub, Dataproc, Vertex AI.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓

npx skills add reason-machines/data-skills --skill google-cloud-data-engineering-hub -a claude-code

Open on GitHub

What google-cloud-data-engineering-hub does

This skill points the agent at a collection of runnable data engineering projects for Google Cloud. Each one ships as modular Python rather than loose scripts, with ASCII architecture diagrams, sample fixtures and a deploy.sh that automates the GCP setup. The examples were run against live cloud projects.

Coverage is grouped by service. BigQuery entries handle CSV ingestion, the UPSERT/MERGE pattern, and training plus prediction with BigQuery ML. Storage projects cover file operations and v4 signed URLs with lifecycle rules. Further out you get Dataflow and Apache Beam jobs, Cloud Composer workflows, Dataproc Serverless, Pub/Sub streaming, and pipelines wired to Gemini AI and Vertex AI.

Before you start: Python 3.10 or newer, the gcloud CLI, a GCP project with billing turned on, and the right IAM permissions. No billing-enabled project means nothing runs, so check that first. Dependencies are installed per project from its own requirements.txt, and credentials come from gcloud auth application-default login.

What it helps with

load a CSV file into BigQuery
write a MERGE statement for upserts
train and query a BigQuery ML model
stream records through Pub/Sub
run a workflow in Cloud Composer

Example prompts for the agent

Build a BigQuery pipeline that loads a CSV file
Show me how to upsert rows in BigQuery with MERGE
Set up Pub/Sub streaming into Dataflow

How to install google-cloud-data-engineering-hub

1Skills CLI (Vercel)

npx skills add reason-machines/data-skills --skill google-cloud-data-engineering-hub -a claude-code

2Manually: put the files in place

~/.claude/skills/google-cloud-data-engineering-hub/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/google-cloud-data-engineering-hub/

1Skills CLI (Vercel)

npx skills add reason-machines/data-skills --skill google-cloud-data-engineering-hub -a codex

2Manually: put the files in place

.agents/skills/google-cloud-data-engineering-hub/SKILL.md

For all projects use ~/.agents/skills/

1Skills CLI (Vercel)

npx skills add reason-machines/data-skills --skill google-cloud-data-engineering-hub -a cursor

2Manually: put the files in place

.cursor/skills/google-cloud-data-engineering-hub/SKILL.md

Cursor also reads .agents/skills/ and .claude/skills/

1GitHub CLI

gh skill install reason-machines/data-skills google-cloud-data-engineering-hub

2Manually: put the files in place

.github/skills/google-cloud-data-engineering-hub/SKILL.md

1Skills CLI (Vercel)

npx skills add reason-machines/data-skills --skill google-cloud-data-engineering-hub -a gemini-cli

2Platform CLI

gemini skills install https://github.com/reason-machines/data-skills --path skills/google-cloud-data-engineering-hub

Manually: put the files in place

.devin/skills/google-cloud-data-engineering-hub/SKILL.md

The legacy .windsurf/skills/ path still works

Skills CLI (Vercel)

npx skills add reason-machines/data-skills --skill google-cloud-data-engineering-hub -a opencode

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about google-cloud-data-engineering-hub

How do I install google-cloud-data-engineering-hub in Claude Code?

Run npx skills add reason-machines/data-skills --skill google-cloud-data-engineering-hub -a claude-code. The skill file lands at ~/.claude/skills/google-cloud-data-engineering-hub/SKILL.md.

What does google-cloud-data-engineering-hub do?

It gives the agent a reference library of GCP data engineering projects covering BigQuery, Dataflow, Apache Beam, Cloud Composer, Pub/Sub, Dataproc, Gemini AI and Vertex AI.

What do I need before using it?

Python 3.10+, the gcloud CLI, and a GCP project with billing enabled and suitable IAM permissions. Install each project's dependencies from its own requirements.txt.

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