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Check a monthly close checklist by reconciling Stripe activity with the ledger, checking supporting documents, and comparing figures with prior months. Record unresolved items and post a Slack summary for finance staff to review.
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Convert office documents, spreadsheets, presentations, ebooks, and text-based PDFs into GitHub-Flavored Markdown, a plain-text format supporting tables. Make otherwise unreadable source files available for an agent to read and use in a task.
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Create and edit Office documents, spreadsheets, and presentations for LibreOffice. Update text, cells, and slides, choose suitable file formats, and inspect version history or restore an earlier saved version when needed.
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Manage files and folders in 飞书 cloud storage, including searches, moves, copies, and sharing settings. Import local documents, spreadsheets, and presentations into online formats, and export cloud documents for local use.
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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 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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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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Update or create Excel workbooks with checks against the requested structure. Identify the correct file before editing, then reread the saved workbook to verify sheet names, populated columns, row counts, and selected sample counts.
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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 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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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 Excel workbooks by saving Python scripts to files and running them through the shell. Covers multiple sheets, data transformations, formulas, formatting, and error reporting for complex spreadsheet tasks.
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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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Create and edit Excel workbooks by running a complete Python script through the shell. Covers multiple sheets, data entry, formatting, formulas, and saving files when other file-reading or code-execution tools fail.
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Extract data from supplied spreadsheets and documents, check for missing or truncated content, and try alternative reading methods when needed. Results identify source files and clearly separate extracted facts from external information or estimates.
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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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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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Continue Excel file creation and editing when execute_code_sandbox repeatedly fails with openpyxl errors. Use run_shell to run Python directly, then check that the workbook was saved with the expected sheets and content.
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Audit existing public equity investment models and spreadsheets for formula errors, source support, assumptions, and scenario quality. Receive a readiness verdict, an issue log, and prioritized fixes showing whether the model supports its intended decision.
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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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Turn articles, notes, or code history into talk preparation materials, including angles, titles, scripts, slide drafts, and revision sheets. Coordinate the stages with user checkpoints, or run an individual stage again.
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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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Scan multiple Excel sheets for rows with missing or invalid entries in a target column. Combine matching records with their source sheet names, then export an Excel file with every extracted data row filled red for review.
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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.
中文简介正在准备中。当前显示英语简介。