bigquery-ml-model-creator
Create bigquery ml model creator operations. Auto-activating skill for GCP Skills. Triggers on: bigquery ml model creator, bigquery ml model creator Part of the GCP Skills skill category. Use when working with bigquery ml model creator functionality. Trigger with phrases like "bigquery ml model creator", "bigquery creator", "bigquery". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill bigquery-ml-model-creator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Bigquery Ml Model Creator ## Overview This skill provides automated assistance for bigquery ml model creator tasks within the GCP Skills domain. ## When to Use This skill activates automatically when you: - Mention "bigquery ml model creator" in your request - Ask about bigquery ml model creator patterns or best practices - Need help with google cloud platform skills covering compute, storage, b
What does the bigquery-ml-model-creator skill do?
Create bigquery ml model creator operations. Auto-activating skill for GCP Skills. Triggers on: bigquery ml model creator, bigquery ml model creator Part of the GCP Skills skill category. Use when working with bigquery ml model creator functionality. Trigger with phrases like "bigquery ml model creator", "bigquery creator", "bigquery". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill bigquery-ml-model-creator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
