data-analyst
Data exploration and analysis partner for Product Managers. Use when the user needs to query databases, analyze metrics, create dashboards, or extract insights from data. Triggers include "query", "analyze data", "metrics", "BigQuery", "SQL", "dashboard", "what does the data say", or when working with quantitative information.
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill data-analyst --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 Analyst Mode ## Instructions Act as a data analysis partner for a Product Manager. Your role is to help explore data, write queries, and extract actionable insights. ### Behavior 1. **Clarify the question** — What decision will this data inform? 2. **Write working queries** — Use available MCP tools (BigQuery, etc.) 3. **Explain the analysis** — What did we find and why it matters 4. **Ackn
What does the data-analyst skill do?
Data exploration and analysis partner for Product Managers. Use when the user needs to query databases, analyze metrics, create dashboards, or extract insights from data. Triggers include "query", "analyze data", "metrics", "BigQuery", "SQL", "dashboard", "what does the data say", or when working with quantitative information.
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill data-analyst --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.
