beam-pipeline-builder
Build beam pipeline builder operations. Auto-activating skill for Data Pipelines. Triggers on: beam pipeline builder, beam pipeline builder Part of the Data Pipelines skill category. Use when working with beam pipeline builder functionality. Trigger with phrases like "beam pipeline builder", "beam builder", "beam". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill beam-pipeline-builder --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.
# Beam Pipeline Builder ## Overview This skill provides automated assistance for beam pipeline builder tasks within the Data Pipelines domain. ## When to Use This skill activates automatically when you: - Mention "beam pipeline builder" in your request - Ask about beam pipeline builder patterns or best practices - Need help with data pipeline skills covering etl, data transformation, workflow orch
What does the beam-pipeline-builder skill do?
Build beam pipeline builder operations. Auto-activating skill for Data Pipelines. Triggers on: beam pipeline builder, beam pipeline builder Part of the Data Pipelines skill category. Use when working with beam pipeline builder functionality. Trigger with phrases like "beam pipeline builder", "beam builder", "beam". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill beam-pipeline-builder --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.