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

xlsx

FreeSummary

Create, edit, and analyze spreadsheets with formulas, formatting, and visualizations. Preserve existing workbook conventions, keep calculations responsive to input changes, and use formula recalculation and error checks to verify the resulting files.

  • Create a spreadsheet with formulas and formatting
  • Update an existing workbook while preserving formulas
  • Analyze and visualize Excel or CSV data
ThinkInAIXYZ/deepchat6.4KUpdated Oct 20, 2026

Bring articles, YouTube videos, documents, and other sources into NotebookLM to create audio, slides, reports, and study materials. It also supports deeper analysis through a series of questions, with optional export to 飞书 documents.

  • Turn an article into audio for commuting
  • Create slides from articles, videos, and PDFs
  • Generate quizzes and flashcards for review
joeseesun/qiaomu-anything-to-notebooklm6.4KUpdated Oct 5, 2026

doctor

FreeSummary

Check whether tools for mathematical modeling, numerical analysis, charts, and paper compilation are installed. Get a report separating required and optional dependencies, platform-specific installation commands, and a follow-up check after approved installation.

  • Preparing a computer for mathematical modeling
  • Checking missing paper compilation and charting tools
  • Installing required dependencies after reviewing the commands
jihe520/MathModelAgent6.2KUpdated Oct 3, 2026

Develop and fix Nexent features by connecting written specifications, acceptance criteria, implementation, and verification evidence. Plan unit tests and appropriate staged checks, maintain their links to requirements, and fill confirmed test gaps after development.

  • Planning and implementing features from acceptance criteria
  • Fixing bugs using existing specifications and tests
  • Refactoring while preserving required behavior
ModelEngine-Group/nexent6KUpdated Oct 20, 2026

Organize Nexent test assets into a traceable chain from requirements and bugs to cases, scripts, and results. Review existing coverage, maintain execution settings, and generate a registry and Excel views for formal testing.

  • Designing test cases for new requirements
  • Reviewing regression coverage after a bug fix
  • Adding missing tests after development
ModelEngine-Group/nexent6KUpdated Oct 20, 2026

Turn research results into figures and tables for papers using pubfig and pubtab. Choose an appropriate presentation, convert Excel tables to LaTeX, export assets, and check readability, labels, and consistency before submission.

  • Choosing a chart that communicates research findings
  • Converting an Excel table to LaTeX for a paper
  • Preparing a summary figure with a companion table
Galaxy-Dawn/claude-scholar5.8KUpdated Oct 19, 2026

Extract keyword-matched entries from an Excel sheet, clean whitespace and empty values, and count distinct entries by category. Export separate Excel files containing summary counts and detailed lists for review.

  • Counting distinct facility names by category
  • Extracting entries that match specific keywords
  • Creating summary and detail reports from Excel data
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Clean Excel columns by removing unwanted prefixes from numeric values and extracting Chinese characters from text. Add the cleaned results as new columns, then save an Excel file and provide a download link.

  • Cleaning numeric columns with unwanted prefixes
  • Extracting Chinese characters from text fields
  • Exporting cleaned data as an Excel file
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Filter rows from Excel or previously converted Parquet files, a format designed for efficient data storage. Summarize matching records by group with counts, percentages, and totals, then export the summary to Excel.

  • Count records containing a specified risk level by work category
  • Calculate group shares among matching records
  • Summarize large datasets already converted to Parquet
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

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

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

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

Filter Excel rows using conditions across several numeric columns. Count rows across sheets, convert selected fields to numbers, remove duplicate rows and records with missing identifiers, then export the filtered results to a new workbook.

  • Extract rows where several numeric columns are zero
  • Clean numeric fields before filtering
  • Remove duplicate rows and missing identifiers
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Extract selected ranges from Excel workbooks with multiple sheets, check missing values, and clean numeric data. Fit a straight trend line, save charts and CSV results, and convert larger tables to Parquet for subsequent analysis.

  • Checking missing values and category counts in a selected sheet
  • Extracting numeric pairs from selected rows and columns
  • Creating a scatter plot with a straight trend line
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Analyze one Excel worksheet by cleaning column names, extracting numbers, and handling gaps from merged cells. Create category counts, percentages, cross-tabulations comparing groups, high-resolution charts, and CSV exports, with Parquet storage for the data.

  • Clean worksheets containing merged cells
  • Summarize category counts and percentages
  • Compare groups with cross-tabulations
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 data across multiple Excel sheets, compare totals between sheets, and summarize categories and proportions. Create charts and export a formatted workbook with unusual values highlighted for review.

  • Comparing totals across Excel sheets
  • Cleaning inconsistent text and blank cells
  • Charting category counts and proportions
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

Prepare large Excel datasets by combining sheets, using Parquet, a format for efficient table storage, and cleaning a selected text column to retain only Chinese characters. Export the cleaned data as an Excel file with a local download link.

  • Removing symbols and numbers from Chinese text columns
  • Preparing large Excel datasets for analysis
  • Combining sheets and exporting cleaned data
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Calculate averages for selected groups in Excel and sum items extracted from specified row ranges after removing duplicates. Save filtered records, summary statistics, and item totals as Excel files with local download links.

  • Calculate average scores for a selected class
  • Sum equipment power values without duplicate items
  • Export filtered records and summary statistics
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026

Find key figures in tabular data using column names or row keywords, calculate category averages and percentages, and export the results as a structured Excel report and a pie chart.

  • Find figures using keywords in rows
  • Calculate averages for a selected category
  • Calculate one figure as a percentage of another
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

Analyze large Excel workbooks by totaling values by category and identifying the highest result. The workflow can convert data to Parquet, a column-based storage format, and export a styled Excel report with highlighted results.

  • Assessing row counts across workbook sheets
  • Converting large datasets to Parquet
  • Finding the category with the highest total
OpenSenseNova/SenseNova-Skills5.8KUpdated Oct 9, 2026