Word、Excel、PowerPoint、PDF、会议纪要、手册（3585 个）
Extract readable text from PDFs when ordinary file readers return garbled or binary content. The skill guides agents through detecting failed reads and using pdftotext, a command-line PDF text extractor, with layout-preserving options.
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Inspect PowerPoint files with python-pptx when standard readers fail or return incomplete information. Retrieve slide counts and titles, compare them with presentation requirements, and report missing or problematic content without installing PowerPoint.
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Create PowerPoint presentations with specified slide content and structure. If generation through shell_agent fails, the workflow switches to Python, captures error details, locates the output, and checks the file format, size, and slide count.
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Recover readable text from PDFs when read_file or Python extraction fails. Use pdftotext, a command-line text extractor, with options to preserve layout, specify character encoding, or save extracted content to a file.
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Create PowerPoint presentations with shell_agent, then switch to Python and python-pptx if generation fails. The workflow captures error details, locates output files, and checks that the presentation opens and contains the expected slides.
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Extract text from PDFs when read_file fails or returns unreadable data. Use dedicated command-line tools or Python libraries to retrieve text and tables, preserve spacing where possible, inspect document properties, and validate the extracted content.
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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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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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Extract readable text from PDFs when normal file reading returns garbled or unusable content. The workflow switches between extraction tools, checks the results, and includes optical character recognition for scanned pages when needed.
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Generate PDF documents when sandbox execution fails with unclear errors. Check available Python libraries, switch to direct shell execution, and verify the resulting file while collecting error details to help diagnose problems.
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Extract text from downloaded PDFs by checking for invalid files, trying three extraction tools in sequence, and validating the results. This workflow helps identify download errors, empty output, and encoding problems during document retrieval.
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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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Recover PDF or DOCX generation when execute_code_sandbox fails with unclear errors. Use run_shell to execute Python directly, check required libraries, report specific failures, and verify that the output file was created.
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Extract readable PDF text when read_file returns binary or image data. Check the filetype parameter, run pdftotext, a command-line text extractor, and inspect output and errors, with temporary file output as an alternative.
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Download PDFs or process local files, extract their text, and turn processed data into structured PDF reports with ReportLab. Includes alternative extraction methods and text output when PDF generation fails.
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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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Check generated PDFs against a page limit or target count, then adjust layout and regenerate as needed. Provides a repeatable workflow for tuning margins, images, tables, and text while respecting readability limits.
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Recover document and PDF generation tasks when sandbox errors provide little detail. Checks Python libraries, runs generation through the shell, captures errors, and verifies output files, with alternative PDF tools and text output as fallback options.
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Extract PDF text when read_file returns unreadable binary content or little usable output. Try pdftotext with layout preservation, then use pdfplumber as an alternative when the command is unavailable or produces insufficient text.
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Extract text from PDFs when the first reading attempt fails or produces poor results. The skill tries command-line tools, Python libraries, then OCR, which recognizes text in images, while checking output quality and recording successful methods.
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Extract readable text from PDFs with pdftotext when read_file returns garbled or binary content. Choose page ranges, preserve text layout where needed, and send the extracted content to standard output or a text file for further processing.
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Extract text from local or downloaded PDFs using a sequence of tools. Try file reading, then pdftotext before a Python fallback, check readability, and document failures while clearly separating extracted content from knowledge-based additions.
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Extract data from Excel sheets with misplaced headers, merged header cells, or introductory rows. Uses text patterns to locate headers, clean column names, and remove empty rows so the data can be processed with pandas.
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Generate PDF checklists, reports, and scorecards with Python. Organizes content into sections and tables, supports scoring criteria and status colors, and includes steps to locate and verify the generated files.
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