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1K skills ・ Works with: Excel · sorted by popularity

Clean numeric columns in Excel, filter records above a chosen threshold, and count matching rows. The skill also covers checking row totals across sheets and marking qualifying cells with formatting for export.

  • Filter Excel records above a chosen threshold
  • Remove nonnumeric entries from a numeric column
  • Count rows across all worksheets
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Filter rows from a selected Excel sheet, summarize category counts and percentages, and export the required columns to a new workbook. The workflow also cleans filter values, renames columns, and provides a download link.

  • Extract rows matching a specific group
  • Summarize category counts and percentages
  • Export selected columns with clearer names
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Scan multiple Excel sheets for rows with missing or invalid entries in a target column. Combine matching records with their source sheet names, then export an Excel file with every extracted data row filled red for review.

  • Find missing entries across multiple Excel sheets
  • Create a review list with source sheet names
  • Export matching rows with red highlighting
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Count rows across Excel sheets to assess data size, then analyze an existing Parquet file, a format for storing tabular data. Calculate category counts and percentages, and save the results as an Excel summary and a pie chart.

  • Counting rows across every sheet in an Excel workbook
  • Calculating category counts and percentages from Parquet data
  • Creating a pie chart of category proportions
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Analyze Excel data using custom categories, count distributions, and compare groups with charts. Score text using its length, technical terms, numbers, and selected complex concepts, then visualize difficulty levels and the relationship between text length and scores.

  • Summarize Excel records using custom categories
  • Compare category distributions across groups
  • Score and grade text using adjustable rules
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Combine selected columns from multiple Excel sheets, fill blank category cells with the preceding value, and rank records by a chosen metric. Export the top results to an Excel report with headings, borders, and formatted numbers.

  • Combine metrics stored on separate Excel sheets
  • Fill category gaps caused by merged cells
  • Extract the top records by a selected metric
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Clean Excel data and group records with similar numerical features. Produce a combined view of indicator trends, value distributions, category shares, and grouped data, then export the charts as an image and cleaned records as Excel.

  • Comparing trends across multiple indicators
  • Checking value distributions and category shares
  • Grouping records with similar numerical features
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Clean Excel data, summarize groups, and examine relationships between numeric columns. Produce charts such as scatter plots with trend lines, calculate measures of fit and statistical significance, and export cleaned data and statistical summaries.

  • Clean missing group labels and numeric text
  • Compare group averages and variation
  • Analyze numeric relationships with scatter plots and trend lines
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Inspect multi-sheet Excel files, use Parquet, a column-based file format, for larger datasets, and clean text before analysis. Produce category summaries, identify maximum values, and export formatted reports or scatter plots with fitted straight trend lines.

  • Assess data volume in multi-sheet Excel files
  • Clean unwanted characters from text columns
  • Summarize categories and highlight the maximum
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Filter Excel data using candidate column names, RGB color values, text prefixes, and regular expressions, which match text patterns. Calculate totals and averages, then export results to Excel with highlighted rows and a download link.

  • Filtering rows by RGB values or identifier prefixes
  • Converting text to numbers and calculating totals or averages
  • Extracting matching commands with their identifiers and descriptions
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Clean categorical Excel data and compare counts and percentage shares across groups. Create cross-tabulation tables, heatmaps that show differences through color, and category rankings, then export the analysis to a workbook with multiple sheets.

  • Compare award distributions across organizations
  • Visualize category shares with a heatmap
  • Identify leading groups within each category
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Check Excel measurements against limits written in the sheet, highlight rows exceeding those limits and cells containing division errors, and export a summary showing structure names, measured values, limits, and differences.

  • Find measurements exceeding limits in Excel
  • Highlight cells containing division errors
  • Export a summary of values exceeding limits
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Extract coefficients associated with a chosen label across Excel sheets and check them against a standard value. Create a comparison workbook showing each value, its source sheet, and red highlighting for rows that fail the check.

  • Check coefficients across multiple Excel sheets
  • Find values that differ from a specified standard
  • Compare sheets with different column layouts
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Analyze Excel datasets totaling at least 10,000 rows using an existing Parquet file, a column-based data format. Extract a chosen metric, identify the category with the highest value, and export an Excel summary with that row highlighted.

  • Counting rows across multiple Excel sheets
  • Extracting a chosen metric from a large dataset
  • Finding the category with the highest value
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Analyze trends and group performance in Excel data, clean percentage values, and calculate projections using growth rates assigned by performance tier. Produce comparison charts and a summary of current totals, projected totals, and growth.

  • Track changes in business metrics over time
  • Compare performance across departments or categories
  • Estimate growth using rates assigned by performance tier
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Extract and analyze text, tables, numbers, and charts from Word, PDF, and PowerPoint documents. Process complete files or document collections, aggregate findings, and verify counts, calculations, and units before presenting answers.

  • Extract tables and numbers from reports
  • Compare and summarize multiple documents
  • Read scanned PDFs and image-only slides
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Clean category data in Excel, group entries, and calculate counts, totals, and shares. Create a summary spreadsheet with a total row and highlighted maximum values, alongside a bar chart for comparing groups.

  • Cleaning category labels before analysis
  • Combining labels into defined groups
  • Calculating group counts, totals, and shares
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Extract key metrics from spreadsheet data, check whether recorded values match calculations after unit conversion, and rank selected metrics from highest to lowest. Export the ranking or validation results to an Excel file for download.

  • Check calculations involving different units
  • Rank business metrics from highest to lowest
  • Export validation results to Excel
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Organize Excel analysis from reading multiple sheets through cleaning, filtering, aggregation, and export. Choose processing methods based on row counts, and use supporting skills to produce tables, charts, and Excel or CSV reports.

  • Clean missing values and inconsistent text in Excel
  • Filter and aggregate data across multiple sheets
  • Analyze large spreadsheets using row-based processing strategies
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Analyze Excel files with 10,000 or more rows using reading methods suited to their size. Convert data to Parquet, a column-based storage format, reduce memory use, and prepare summaries, charts, or filtered exports.

  • Summarizing regional sales from 100,000 rows
  • Exporting high-value transactions from a million-row log
  • Speeding up repeated analysis with Parquet
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Combine selected data from multiple Excel sheets, clean numeric values, and extract the highest entries for a chosen metric. Create a ranked Excel report with highlighted columns, borders, column widths, and number formats for easier comparison.

  • Extract the top entries for a chosen metric
  • Combine selected columns from multiple sheets
  • Create a ranked Excel report with highlighted values
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Analyze a selected entity’s time series in Excel, calculate its average, and export a formatted report showing differences from that average. Rows below the average are highlighted in green for easy comparison.

  • Highlight periods with values below the average
  • Report a selected entity’s time series
  • Check the total row count across Excel sheets
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Compare counts and shares for two categories in Excel data. The skill cleans the selected columns, calculates differences and percentages, and produces a summary spreadsheet plus bar and pie charts.

  • Comparing counts for two categories
  • Visualizing category shares
  • Cleaning merged-cell data before counting
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Extract text and data from images of charts, tables, interfaces, and diagrams using a vision model, an AI that reads images. Turn the results into structured tables, recreate charts, or export data to Excel and CSV.

  • Convert a table screenshot into Excel or CSV
  • Extract values from a chart and recreate it
  • Describe the layout and components of a UI screenshot
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026