You get a structured approach to the full data analysis pipeline, from loading CSV/JSON/SQL sources through pandas to generating markdown reports with findings and recommendations. It walks you through exploration, cleaning (missing values, outliers), statistical analysis (grouping, correlations, pivot tables), and visualization with matplotlib and seaborn templates for common chart types. The markdown report output is smart, it automatically structures your dataset overview, stats summaries, and actionable insights instead of leaving you with scattered notebook cells. Best for when you're diving into unfamiliar data or need to produce a shareable analysis document quickly. The step-by-step instructions keep the workflow organized, which matters more than you'd think when you're three hours into an analysis.
npx -y skills add supercent-io/skills-template --skill data-analysis --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills