Use shell heredocs, which pass multiline text directly to a command, when write_file fails on complex code. Save TypeScript, JSX, JSON, or shell scripts with literal quotes and formatting, then verify the file and its contents.
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Build complex Excel files in four stages: extraction, preparation, calculation, and formatted output. Intermediate CSV files let agents and reviewers inspect data, validate forecasts, locate errors, and rerun individual stages without repeating the entire workflow.
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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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Find generated files that are missing from their expected locations in isolated or temporary execution environments. Search confirmed directories, identify the right file, copy it to the intended destination, and verify that it is readable and nonempty.
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Track tasks that require several outputs by listing every deliverable, updating a visible checklist, and verifying that each result exists. Helps prevent work from ending while requested files, reports, or other outputs remain unfinished.
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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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Resolve Unicode character errors when converting Markdown to PDF with pandoc. Follow a workflow to replace troublesome symbols with ASCII equivalents, regenerate and check the PDF, or consider another PDF engine when preserving characters matters.
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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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Extract text from PDFs by checking each tool’s output and switching methods when needed. Guides agents from file reading to pdftotext and PyMuPDF, then checks readability, missing sections, and records extraction failures.
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Recover from Pandoc PDF generation failures by checking installed PDF engines and retrying alternatives. The guide matches engines to Unicode text, simple Latin documents, or HTML-based layouts, and includes an automated fallback script.
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Extract PDF text using a sequence of tools when one method fails. Validate downloaded files, check whether the extracted text is substantial, record the successful method, and investigate alternative sources if extraction remains unsuccessful.
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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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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 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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Generate Word, PDF, and HTML documents from one Markdown source. The workflow checks available tools, replaces problematic characters for PDF conversion, tries alternative conversion engines when needed, and checks that output files were created.
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Generate Word, PDF, and HTML documents from Markdown while diagnosing conversion failures. The workflow checks required tools, replaces problematic characters for PDF, tries alternative conversion engines, and verifies the resulting files.
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Generate Word, PDF, and HTML documents from Markdown through visible conversion steps. Check available tools, handle special characters according to the output format, switch to alternative converters when needed, and verify the resulting files.
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Extract edit times from documents, inspect audio for clicks and level issues, and guide production of stems, or separate audio parts. Each stage includes checks, ending with a mixed export verified for duration, format, and audio levels.
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Extract plain text from Word DOCX files using shell commands first, then switch to Python's built-in ZIP reader if extraction fails or returns nothing. Supports text output without requiring the external python-docx package.
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Extract text, tables, and headings from Word documents when standard file reading tools fail. The workflow uses Python and python-docx through run_shell to recover document content for further review or analysis.
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Extract text from Word DOCX files with shell commands when python-docx is unavailable. The workflow reads the document’s XML content, removes tags, optionally cleans whitespace, and saves plain text for inspection or further use.
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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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Read or create DOCX documents when standard file tools fail. This fallback extracts text from the document's internal XML and uses python-docx through shell commands to build new files with headings, paragraphs, and tables.
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Prepare audio stems, the separate parts of a track, for mixing by matching their durations with silence, loops, or crossfades. Verify each generated and processed file before moving to the next production step.
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