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