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Generate PDF documents from JSON definitions with headings, tables, images, and page numbers. Use file, in-memory, or streaming output, and extend document layouts with custom components and externally managed application state.
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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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Read, create, and review PDFs with checks of both content and appearance. Uses Python tools for document generation and text extraction, then inspects rendered page images for spacing, alignment, and readability.
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Extract text from PDFs by trying several methods in sequence and checking the results. When ordinary extraction yields too little text, switch to OCR, which recognizes text in images, to process scanned documents.
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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 DOCX, PDF, and HTML from Markdown through separate, observable conversion steps. The workflow replaces problematic characters for PDF output, captures error messages, and switches PDF engines when needed to troubleshoot document generation failures.
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Process PDF forms, extract tables and text, and recognize text in scanned documents with OCR. Included scripts support data validation, batch workflows, merging, and page splitting, with table exports to CSV or Excel.
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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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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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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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Diagnose failed pandoc PDF conversions by checking installed tools, capturing error logs, and trying alternative PDF engines. The workflow helps identify missing fonts or packages and suggests ways to simplify documents when conversion still fails.
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Diagnose PDF conversion failures in pandoc by checking installed conversion engines, capturing full error logs, and investigating missing fonts or packages. Follow a structured sequence of retries and fallback methods to find a working conversion route.
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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 DOCX, PDF, and HTML documents from Markdown, with alternative PDF tools to try when conversion fails. The workflow includes character replacement, separate conversion steps, and checks for missing, empty, or invalid output files.
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NotionページをPDFファイルに変換するスキル。Notion MCPでページ内容を取得し、見栄えのよいPDFとして出力する。ユーザーがNotionページのURL・ID・タイトルを指定してPDF化・PDF変換・PDF出力・印刷用出力を依頼した場合に使用する。「このNotionページをPDFにして」「NotionページをPDFに変換して」「Notionを保存したい」「このページを印刷したい」「ドキュメントをPDFで共有したい」といった表現で起動する。ユーザーの発言にNotionページのURLが含まれていてPDF化の意図がある場合は、明示的にPDFと言っていなくても積極的にこのスキルの使用を検討する。
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Regenerate downloadable PDFs for four Remotion legal documents after updating their MDX source pages. The workflow covers generation, checking content and page layout, and committing the updated sources together with the PDFs.
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Create and edit PDFs, combine or split pages, extract text, tables, and images, and fill forms. It also guides scanned document text recognition and format conversion, choosing tools suited to each task.
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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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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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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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Create Word, PDF, and HTML documents from Markdown, choosing pandoc or ReportLab to suit formatting and layout needs. The workflow covers character handling, output checks, and an alternative generation method when PDF conversion fails.
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Audit PDFs linked from a website by checking file sizes and response headers, the information returned by the server. Flag large downloads for compression review and suggest HTML versions when the content needs a searchable web page.
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Read, extract text from, split, merge, fill, or create PDFs while preserving originals. Check page counts, extracted text, and file sizes, and flag accuracy limits when scanned pages require optical character recognition.
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Extract and analyze PDF text, tables, form values, and document properties while preserving their structure. Produce summaries, compare documents, or organize selected data as CSV or JSON, with uncertain extraction results clearly identified.
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