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Cognitive Skills (also called Wisdom Skills) are packaged, reusable analytical pipelines defined in plain language. Instead of re-describing a complex analysis each time, a Skill encodes the logic once — and Wisdom runs it on the right KPI and period whenever you invoke it, with arguments. Same inputs → same outputs, every time.
When you repeatedly ask Wisdom the same multi-stage question, convert it to a Skill. A Skill is just a packaged Wisdom question — invocable by anyone, reusable, with arguments.

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How to use Cognitive Skills

1

Close the Wisdom dialog

If the Ask Wisdom, know everything! dialog is open, close it to return to the main interface. You need the main view to navigate to the Knowledge Corner where Cognitive Skills live.
Closing the Wisdom dialog to return to the main DataGenie interface
2

Go to Knowledge Corner and select Cognitive Skills

Navigate to the Knowledge Corner from the sidebar, then click Cognitive Skills in the left panel. This filters the view to show only Cognitive Skills posts — the pre-built analytical patterns available for your dataset.
Navigating to the Knowledge Corner and clicking Cognitive Skills in the left panel
3

Open a recent Cognitive Skills report

Find a recent post — for example, one marked “5h ago” — and click it to open the full report. Each post is a Cognitive Skill result generated for your dataset on the configured schedule.
Clicking a recent Cognitive Skills post to open its full report
4

Review the Engagement Report

The report opens with detailed metrics, structured lists, and a comprehensive overview of recent activity. This is the Skill’s output — a fully rendered analytical report grounded in your dataset’s deterministic pipeline.
Full Engagement Report showing structured metrics, lists, and an analytical overview
5

Scroll to the data table

Scroll down to reach the numerical data table. This section breaks down the numbers behind the report — the same underlying data used to generate the narrative above it. Use it to validate specific figures or drill into individual rows.
Scrolling to the data table section showing the numerical breakdown behind the report
Continue scrolling to the Summary section at the bottom — it highlights the key findings and main takeaways from the report in plain language, useful for quick sharing with stakeholders who don’t need the full data table.

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Built-in skills

Forecasting

Projects a KPI forward based on historical trend and seasonality. Invoke by asking “What will Revenue look like next month?”

Change Analysis

Explains why a KPI changed by pulling contributor rankings and attribution data. Invoke by asking “Why did Add to Bag Count drop last week?”

Segment Comparison

Compares the same KPI across two or more dimension values. Invoke by asking “Compare Revenue in UK vs US for last 30 days.”

Anomaly Explanation

Identifies the anomaly, explains the deviation from baseline, and surfaces the dimension values most responsible.
Cognitive Skills use the same deterministic services that power Top Stories, Explorer, and Datasets — Metric Service, Insights Service, Contribution Analysis, Forecasting, Scenario Planning. No LLM invents numbers.

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What’s next

Wisdom Overview

Back to the full Wisdom feature overview.

Domain Knowledge

Give Wisdom the business context it needs to apply skills accurately.

Explorer

For hands-on dimensional analysis outside of the Wisdom interface.

Responsible AI

Each Skill runs as a deterministic pipeline — no LLM-generated numbers.