“spreadsheet”的搜索结果

Check BibTeX references against web records and export field differences in a spreadsheet. Independent checking depends on an isolated web agent; without isolation, results flag potential issues rather than certify matching entries.

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• Checking bibliography fields before paper submission
• Finding author omissions and ordering errors
• Reviewing reference discrepancies in a spreadsheet

Compare local BibTeX references with independently retrieved web records to identify missing or reordered authors, incorrect years, venues, and identifiers. Export a side-by-side spreadsheet with per-reference verdicts and evidence for discrepancies.

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• Checking bibliography fields before paper submission
• Finding author omissions and ordering errors
• Reviewing reference discrepancies in a spreadsheet

Create and inspect charts, PDFs, editable Word documents, spreadsheets, and browser presentations from supplied material. The skill selects tools for each format, checks content and layout, and delivers files or opens presentations with animation.

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• Create charts from source data
• Prepare a PDF report with figures
• Create an editable Word document

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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• Creating presentation slides as PPTX files
• Generating reports as DOCX documents
• Creating XLSX spreadsheets with charts

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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• Clean messy CSV data into a spreadsheet
• Add formulas and columns to an existing workbook
• Update a workbook while preserving its template

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

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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• Compare contract clauses during M&A due diligence
• Audit vendor contracts using a shared set of fields
• Review dates and notice periods across a lease portfolio

Work with Google Sheets through the gog command-line tool. Read and update cells, organize tabs, manage formatting, charts, and input rules, and export spreadsheets as PDF, Excel, or CSV files.

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• Read, update, or append spreadsheet values
• Adjust formatting, filters, and frozen rows
• Manage charts and cell input rules

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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• Processing multiple Excel sheets in one script
• Calculating new columns from spreadsheet data
• Formatting report headers and cells

Verify saved Excel files directly with Python and openpyxl, a workbook library. Check sheets, headers, row counts, marked rows, and output files to resolve conflicting agent reports and summarize what actually exists on disk.

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• Resolve conflicting workbook reports from agents
• Check that spreadsheet edits were saved
• Count rows selected with a marker column

Process Excel workbooks and generate PDF reports by running Python scripts directly. Covers multiple sheets, data transformations, formatting, and error handling, with scripts saved as files for complex tasks.

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• Transform data across multiple Excel sheets
• Apply consistent formatting to spreadsheet reports
• Generate PDF reports from spreadsheet data

Troubleshoot CSV and XLSX processing when execute_code_sandbox fails. The workflow locates input files, saves processing code as a Python script, captures execution errors, checks dependencies and file access, and confirms output exists before reading it.

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• Recovering spreadsheet processing after sandbox errors
• Locating CSV and XLSX input files
• Diagnosing dependency, path, and encoding errors

Create spreadsheets, diagrams, and PDF reports in a staged workflow. Allocate execution attempts across deliverables, check generated files, and use simpler methods or alternative formats when tool errors or limited remaining attempts interrupt progress.

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• Preparing a comparison spreadsheet, diagram, and report
• Allocating execution attempts across several deliverables
• Recovering from file generation errors with fallback methods

Organizes creation of a spreadsheet, a diagram, and a summary PDF as a related report package. Allocates attempts across components, checks generated files, and provides fallback methods when a tool or output fails.

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• Preparing a spreadsheet, diagram, and PDF report together
• Documenting equipment choices, layouts, and costs
• Dividing generation attempts across multiple deliverables

Build Excel spreadsheets with merged titles and headers using openpyxl, a Python library for spreadsheet files. Follow a sequence for entering values, merging cells, and applying formatting, with guidance for updating existing merged ranges and checking saved results.

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• Creating report titles that span multiple columns
• Formatting section headers and grouped labels
• Updating values in existing merged ranges

Work with Feishu/Lark documents and spreadsheets through DeepChat's plugin tools. Search, summarize, create, or update content, and inspect or edit structured data using the operations available in the active plugin configuration.

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• Searching and summarizing workspace documents
• Creating documents or appending content
• Inspecting and editing spreadsheet data

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and pivot tables. When Claude needs to work with spreadsheets (.xlsx files) for: (1) Creating new spreadsheets with data and formatting, (2) Reading or analyzing Excel data with pandas, (3) Creating pivot tables programmatically with openpyxl, (4) Building multi-sheet workbooks with source data and pivot table sheets, or (5) Any Excel file operations

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Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format.

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Answers business questions about the user's own spreadsheet or data export (CSV, TSV, XLSX from a CRM, Shopify, Stripe, QuickBooks, ad platforms, HR or payroll systems) correctly and auditably. Profiles every file first (grain, duplicate keys, embedded Grand Total rows, text-stored numbers, mixed currencies, UTC timestamps, Excel serial dates, hidden rows), states the metric definition used, computes every number in SQL or pandas instead of mental math, checks joins for fan-out, reconciles to a known total, and returns the query, filters, row counts, and rows behind the answer. Use this whenever the user says "analyze this spreadsheet", "how many...", "what's the total in this export", "which customers...", "pivot this", "revenue by month", "top 10", "what's our churn/MRR/AOV", or asks any question about their data, CSV, or Excel file, even a quick one. Also use when they ask to change values in a data file.

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Inspect, profile, clean, reconcile, analyze, visualize, and verify spreadsheet data while preserving formulas, formatting, types, and source files. Use when working with .xlsx, .xlsm, .xls, .ods, .csv, or .tsv files; answering questions from a workbook; auditing formulas or data quality; comparing sheets or versions; producing pivots, charts, forecasts, or summary workbooks; repairing malformed tables; or validating that spreadsheet edits and calculations are accurate.

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Generate and parse Excel spreadsheets with ExcelJS — create workbooks with multiple sheets, styled cells, formulas, charts, images, and conditional formatting. Use when tasks involve exporting application data to .xlsx, building financial reports, parsing uploaded spreadsheets, or creating data import/export pipelines.

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Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format.

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Create, inspect, analyze, and edit spreadsheets (`.xlsx`, `.xlsm`, `.csv`, `.tsv`) with local code execution. Use for formulas, formatting, charts, validation, financial models, and spreadsheet deliverables.

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Use when building or editing a spreadsheet or model — formulas over hardcoded values, read-back after writes, official-source data, pivot-first charts. Triggers on 'spreadsheet', 'build a model'.

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