“spreadsheets”的搜索结果

Create and edit spreadsheet files, clean messy tables, and convert tabular formats. Add formulas, formatting, and charts while following existing template styles, then recalculate formulas and check for errors before delivering the spreadsheet.

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• Clean messy CSV data into a spreadsheet
• Add formulas and charts to an Excel workbook
• Update a workbook using its existing formatting

Create, read, and edit Word documents with headings, tables, page numbers, and images. Use it to turn content into formatted reports or letters, reorganize existing documents, replace text, and work with tracked changes and comments.

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• Create a Word report with a table of contents and page numbers
• Extract and reorganize content from an existing document
• Replace images or text in a Word file

Create, read, edit, and convert presentations, spreadsheets, Word documents, and PDFs with GenOffice's command line. Build files from text or data, inspect existing documents, and render pages as images to review their appearance.

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• Build a presentation from a brief
• Create a workbook with formulas from CSV or JSON
• Turn Markdown into a Word document

Create and process Excel files, PDF checklists, and structured reports by running Python scripts directly. The skill covers multiple sheets, formulas, formatting, data transformations, and error handling for document workflows with several steps.

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• Process and format multiple Excel sheets
• Create PDF checklists
• Turn sales summaries into PDF reports

Process spreadsheets with Python after checking source files, required sheets and columns, and external data access. The workflow includes backup source checks and clear failure reports when the required data cannot be reached.

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• Check required files and columns before processing Excel
• Verify external data access before updating a spreadsheet
• Check backup data when the primary source is unavailable

Process Excel files with Python after checking that input files and source URLs are accessible. The workflow covers data transformations, formulas, and formatting, with alternative sources and error logs when access fails.

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• Transforming Excel data after checking input files
• Applying formulas and formatting across multiple sheets
• Trying backup sources when a data URL is unavailable

Helps agents build outputs from supplied reference files by reading, checking, and citing their data first. External searches are reserved for missing details, verification, or tasks that explicitly require current information.

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• Creating reports from attached spreadsheets
• Building property documents from supplied listing data
• Checking reference files before searching the web

Use attached spreadsheets and documents as the primary source for reports and analysis. Identify relevant files, extract needed data, and cite filenames, turning to external searches or clearly labeled estimates only when the supplied material lacks required information.

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• Preparing a report from an attached Excel file
• Extracting required figures from CSV or PDF files
• Citing the source filename for reported data

Create a related Excel workbook, PNG diagram, and PDF report in one workflow. It allocates execution attempts across stages, checks output files, and provides retries or simpler versions when generation encounters errors.

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• Preparing a comparison table, diagram, and report together
• Creating a PDF that references spreadsheet findings and diagrams
• Allocating execution attempts across several output formats

Run Python through a saved script when execute_code_sandbox or shell_agent repeatedly fails. The workflow writes code to a file, executes it through run_shell, and checks errors and expected outputs such as spreadsheets or documents.

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• Retrying Python tasks after execution tools fail
• Creating Excel files with a saved Python script
• Checking error output and generated files

Handle merged cells before filling Excel templates with openpyxl, a Python library for spreadsheets. This skill shows how to inspect merged ranges, unmerge the required areas, write values, and save the workbook without merged-cell write errors.

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• Fill an Excel template containing merged cells
• Resolve AttributeError when writing cell values
• Unmerge ranges across multiple worksheets

Continue file reading and data processing when execute_code_sandbox or read_file fails. This skill runs multiline Python through run_shell, with examples for text, JSON, spreadsheets, PDF and Word documents, plus basic summaries and grouped calculations.

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• Reading text or JSON when read_file fails
• Inspecting Excel and CSV data through Python
• Extracting text from PDF and Word documents

Create Excel files with openpyxl, a Python spreadsheet library, by switching to shell execution when sandbox tools fail. Examples cover cell styling, formulas, merged cells, multiple sheets, error reporting, and checking that the output file exists.

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• Retrying Excel creation after sandbox failures
• Creating spreadsheets with styles and formulas
• Building workbooks with multiple sheets

Review reports, spreadsheets, dashboards, or other analyses before sharing them or making decisions. Check methods, calculations, charts, and conclusions, then receive a readiness assessment with prioritized fixes, supporting evidence, and limitations that readers need to know.

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• Checking a report before sharing it
• Verifying key metrics and comparison periods
• Reviewing charts for misleading presentation

Route data analysis requests to focused workflows for metric checks, business decisions, charts, dashboards, and reports. Identify usable data sources and guide the next step, with delivery choices based on the available environment.

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• Choose a workflow for a broad analytics request
• Investigate conflicting metric definitions
• Start an analysis report from uploaded data

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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• Cleaning category labels before analysis
• Combining labels into defined groups
• Calculating group counts, totals, and shares

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 missing values and inconsistent text in Excel
• Filter and aggregate data across multiple sheets
• Analyze large spreadsheets using row-based processing strategies

Create and edit spreadsheet files, clean messy tables, and convert tabular formats. Add formulas, formatting, and charts while following existing template styles, then recalculate formulas and check for errors before delivering the spreadsheet.

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• Clean messy CSV data into a spreadsheet
• Add formulas and charts to an Excel workbook
• Update a workbook using its existing formatting

Create a compact public finances briefing for the UK, US, or Australia using official data. Cover deficits, debt, taxes, spending, and fiscal rules, with dated sources, selected sections, multiple export formats, and optional debt sustainability analysis.

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• Preparing a country briefing on public finances
• Reviewing tax receipts and spending against forecasts
• Checking fiscal rules and the medium-term outlook

Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.

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Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

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Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

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Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

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Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio). Read/write data, manage tabs, apply formatting, and search rows programmatically.

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