High-priority analysis skills for cleanup, dashboards, feedback synthesis, and decision-friendly reporting.
Use this collection when data work is blocked by cleanup, reporting structure, or synthesis rather than by raw data access alone.
Supports business intelligence, reporting, insight generation, and decision support from messy or distributed data.
Grouped by capability module. Numbers indicate the recommended install order. Start with primary skills before adding alternatives.
Prepare and normalize tabular data before deeper analysis or reporting begins.
Natural language Excel operations cover CSV/XLSX merging and cleanup in one workflow.
Provides a full interactive analysis environment vs. a single-skill pandas helper.
Turn metrics into a clearer reporting surface for reviews, updates, and decision meetings.
Narrative structure and persuasive framing make data more actionable for leadership.
Aggregate feedback and research signals into trends, themes, and clear takeaways.
Frame budget and trade-off decisions more explicitly when resources are constrained.
Handles real spreadsheet files with formula recalculation rather than generating text-only outputs.
An ops team needs cleaner data before weekly reporting.
A manager needs to summarize customer feedback into decision-ready themes.
A leadership review needs better dashboard packaging and budget framing.