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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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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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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 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 from Word DOCX files and save it as plain text. The skill checks available tools, tries shell utilities, and falls back to Python’s standard library when needed.
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Extract text from Word DOCX files with unzip and sed, command-line utilities, when Python document libraries are unavailable. Read the document’s main text, remove XML tags, clean whitespace, and save the extracted content.
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创建、读取和编辑Word文档，向模板填入数据，并整理修订记录与批注。可处理标题、表格、图片等内容，提取文档信息并检查文件结构问题。
Create and edit Word documents and templates, reorganize text, replace images, and work with tracked changes or comments. Apply proper headings and lists, then render every page to check its appearance before delivery.
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Create, edit, and inspect Word documents such as memos, reports, letters, and templates. The workflow preserves originals by default and checks the result by reopening the document and extracting representative text.
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Recover Python tasks when execute_code_sandbox fails with errors or timeouts. Install required packages, run the code through run_shell, and inspect messages and generated files to check the result.
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Run Python through shell commands when sandbox execution fails because required packages are unavailable. The skill explains short commands, multiline scripts, package checks, and output verification, with examples for creating Excel and Word files.
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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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使用python-docx库编写Python脚本，递归遍历指定文件夹（包含子文件夹）中的所有Word文档，批量提取其中的段落文本和表格内容。
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Word文書（.docx）をMarkdownに変換し、参考文献を整理するスキル。「Wordをマークダウンに変換して」「docxをmdに変換して参考文献を整理して」「Word文書の参考文献を統合して」「レポートをMarkdownに変換して」などのリクエスト時に使用。pandoc（またはpython-docxフォールバック）による変換と、重複URL統合・番号再割当て・参考文献リスト生成・文書構造整形を行う。
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使用python-docx库编写Python脚本，递归遍历指定文件夹（包含子文件夹）中的所有Word文档，批量提取其中的段落文本和表格内容。
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Read, summarize, create, and edit Word documents in .docx format. Build reports with headings, tables, and images, replace text in existing files, or add tracked changes and comments for document review.
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Analyze local documents or public web pages and produce a Word report with source screenshots beside each factual claim. Yellow highlights identify the supporting passages so readers can visually check the analysis against the original.
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Format existing patent claims, descriptions, and abstracts for China, the United States, or Europe. Produce jurisdiction-specific document sets in Markdown or Word, checking numbering, reference signs, language, and abstract length without changing technical claim content.
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Convert legal documents in PDF, DOCX, or TXT format into structured Markdown. The workflow organizes legal headings, checks text preservation and formatting, and produces a review report alongside the final document when checks pass.
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Review Word contracts for textual inconsistencies, business terms, and legal clauses while preserving the original wording and formatting. Produce clause-specific comments, an objective contract summary, consolidated review opinions, and a business flowchart based on the contract.
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Create internal and external documents from one reference source. Extract deadlines, responsibilities, procedures, and policies, tailor content for each audience, and check that terminology, formatting, versions, and references stay consistent while internal information remains appropriately restricted.
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Helps agents build outputs from supplied reference files by reading, checking, and citing their data first. External searches are reserved for missing details, verification, or tasks that explicitly require current information.
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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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Run Python through the shell when a code sandbox fails to start or connect. Uses a heredoc, a way to pass multiline code, with examples for generating charts, Word documents, and processed JSON files.
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