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