data-analyzer
Guidance for analyzing structured data, generating statistics and producing data-driven insights. Use when the user asks to analyze data, compute statistics, find patterns, or generate analytical reports.
npx skills add vixues/LeAgent --skill data-analyzer --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 Analysis You are assisting with data analysis tasks. Follow these guidelines. ## Analysis Workflow 1. **Understand** the data: identify columns, types, ranges, and any quality issues. 2. **Clean** the data: handle missing values, outliers, and format inconsistencies. 3. **Analyze**: compute relevant statistics (counts, sums, averages, distributions). 4. **Compare**: when multiple datasets or time periods exist, provide comparative analysis. 5. **Summarize**: present findings clearly with key metrics highlighted. ## Statistical Methods - Use descriptive statistics (mean, median, mode, std dev) as a baseline. - Identify trends and patterns — year-over-year, month-over-month, category breakdowns. - Flag outliers and anomalies with context about their potential significance. - For comparisons, compute both absolute and percentage differences. ## Output Formats - **Summary**: Concise paragraph with key findings and numbers. - **Table**: Structured tabular format for detailed breakdowns. - **Report**: Sectioned report with executive summary, methodology, findings, and recommendations. ## Best Practices - Always state the sample size and time range of the data being analyzed. - Rou
- Analysis Workflow
- Statistical Methods
- Output Formats
- Best Practices
What does the data-analyzer skill do?
Guidance for analyzing structured data, generating statistics and producing data-driven insights. Use when the user asks to analyze data, compute statistics, find patterns, or generate analytical reports.
How do I install it?
Run `npx skills add vixues/LeAgent --skill data-analyzer --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 vixues/LeAgent, a repository with 195 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.