数据分析、机器学习、LLM 应用、提示词设计（9095 个）
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.
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Analyze numerical data in Excel with box plots and an outlier summary. Extract error values from text containing the ± symbol, chart their distribution, and export statistical results as a CSV report.
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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.
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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.
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Clean category and numeric fields in structured data, compare groups with counts and cross-tabulations, and produce charts, Excel results, and a Markdown report. Export visuals as high-resolution PNG and SVG files for use in reports.
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Analyze Excel workbooks across multiple sheets, locate matching fields, clean values, and compare groups. Produce counts, cross-tabulations that compare categories, charts, and an Excel report with a download link.
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Analyze Excel data by classifying items, calculating counts and percentages, and comparing categories across groups. Identify values above related limits, then produce a pie chart and an Excel statistics file with download links.
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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.
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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.
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Combine data from multiple Excel sheets, clean inconsistent labels and merged cells, and summarize counts by category. Create Excel summary tables with percentages and totals, plus labeled bar charts for comparing categories.
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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.
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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.
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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.
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Provide other skills with tools for generating and editing images, analyzing image content, and improving text through external APIs. This foundation passes inputs to backend services without preprocessing and returns results as text or JSON.
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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.
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Extract numbers from text values containing a specified unit, remove unusable rows, and visualize the distribution. Create a histogram with mean and median markers, plus a dashboard showing frequencies, proportions, and cumulative percentages.
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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.
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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.
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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.
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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.
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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.
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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.
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Learn from top Kaggle solutions across text, images, time series, tabular data, and multimodal tasks that combine data types. Explore technical analyses, model settings, reusable code templates, and practical lessons to inform machine learning projects.
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Analyze ML and AI experiment results with statistical checks, confidence intervals, and effect sizes, which describe the size of differences. Produce scientific figures and analysis reports while identifying missing evidence and limits on model comparison claims.
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