1044 个 ・ 集成工具: Excel · 按人气排序
Create new PPTX presentations, DOCX documents, XLSX spreadsheets, and PDF reports with PaperJSX. Describe content and layout in structured JSON, then run a Node.js script to generate the file and check that it is not empty.
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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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Create charts for numeric data and diagrams for processes or relationships. Explains how to choose ECharts or Mermaid, apply clear formatting, and use chart_render to display the result in chat and save a downloadable PNG.
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Create, edit, repair, and convert spreadsheet files, including Excel workbooks and CSV data. Clean messy tables, add formulas and formatting, preserve existing template styles, and recalculate formulas to check for errors before delivery.
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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 or review tables that match patent claim elements or civil legal requirements to product information and evidence. Each mapping cites a precise source location, while a separate gap list identifies evidence still needed for attorney analysis.
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Track legal work after an acquisition closes, including counterparty consents, contract transfers, and purchase agreement deadlines. Build phased workplans from available deal documents, update progress, and produce status reports or CSV exports for review.
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Track filing deadlines and completion status for each legal entity and jurisdiction. Identify upcoming, overdue, and unknown items, review gaps in entity records, and export the tracker as CSV for sharing.
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Extract the same fields from a batch of contracts or other documents into a comparison spreadsheet. Each answer includes a source quote and location, while missing, ambiguous, and review-required information is clearly distinguished for human verification.
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Turn supplied CSV, Excel, or JSON data into a visual report page with key metric cards, multiple charts, and a data table. Include the reporting period, data sources, written observations, and a collapsible explanation of the methods used.
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Turn slide content stored in JSON, a structured data format, into editable .pptx presentations with text, images, charts, and tables. Apply layouts, styles, or templates, validate the results, and process multiple input files in batches.
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Convert PDF, PowerPoint, Excel, and Word documents into structured Markdown for search and information extraction. Outputs include document metadata, a parsing confidence score, and the parser used, with fallback parsers available when earlier attempts fail.
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Process PDF forms, extract tables and text, and recognize text in scanned documents with OCR. Included scripts support data validation, batch workflows, merging, and page splitting, with table exports to CSV or Excel.
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Convert PDF, Word, and Excel documents into structured Markdown for search and knowledge bases. The skill tries three parsers in sequence when needed and returns metadata, a confidence score, and the parser used.
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Gather web information and turn it into an Excel workbook with explicit checks. Handles search failures through delegated research, records sources and missing data, and verifies the saved workbook against requested requirements.
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Validate spreadsheet sources before running Python scripts to transform data, update multiple sheets, or apply formatting. Check required data first, try backup sources when needed, and report errors clearly if processing cannot proceed.
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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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Process Excel workbooks and generate PDF or Word documents by running Python scripts directly through run_shell. The skill covers multi-sheet edits, formatting, data transformations, document layout, and error handling for complex tasks that can exceed agent step limits.
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Find input files in confirmed workspace folders, save outputs to explicit locations, and check the results against task requirements. Useful in restricted execution environments where familiar folders may be missing or inaccessible.
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Process complex Excel files by running Python scripts directly through run_shell. Use pandas for data transformations and openpyxl for workbook editing, including multiple sheets, formulas, and formatting, with explicit saving and error reporting.
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Recover failed Python tasks by saving the code as a script and running it through the system shell. The workflow covers spreadsheet generation, data processing, output verification, and troubleshooting missing packages, paths, or permissions.
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Create or modify Excel workbooks, then independently check the saved file with Python. Verify required sheets, columns, populated cells, row counts, and sample selections against the requested structure before reporting the work as complete.
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Audit an Excel workbook before editing, then verify the saved file with Python and openpyxl. Each requested requirement receives an explicit status, so completion depends on checks of the actual file.
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Run Python code directly on the host when repeated e2b sandbox failures block execution. The skill explains saving scripts, launching them through the shell, and checking outputs when an isolated environment is unnecessary.
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