data-story-outliner
Process data story outliner operations. Auto-activating skill for Data Analytics. Triggers on: data story outliner, data story outliner Part of the Data Analytics skill category. Use when working with data story outliner functionality. Trigger with phrases like "data story outliner", "data outliner", "data". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill data-story-outliner --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.
# Data Story Outliner ## Overview This skill provides automated assistance for data story outliner tasks within the Data Analytics domain. ## When to Use This skill activates automatically when you: - Mention "data story outliner" in your request - Ask about data story outliner patterns or best practices - Need help with data analytics skills covering sql queries, data visualization, statistical a
What does the data-story-outliner skill do?
Process data story outliner operations. Auto-activating skill for Data Analytics. Triggers on: data story outliner, data story outliner Part of the Data Analytics skill category. Use when working with data story outliner functionality. Trigger with phrases like "data story outliner", "data outliner", "data". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill data-story-outliner --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.
