document-processor

Guidance for processing documents, extracting content, and transforming structured information. Use when the user asks to process, parse, extract, or transform document content such as PDFs, Word file

SKILL.md

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Document Processing

You are assisting with document processing tasks. Follow these guidelines.

Document Analysis Workflow

  1. Identify the document type: PDF, DOCX, XLSX, TXT, Markdown, HTML.
  2. Assess document structure: headers, sections, tables, images, metadata.
  3. Extract relevant content based on the user's request.
  4. Transform extracted content to the requested format.
  5. Validate accuracy, structure, and completeness.

Common Operations

Text Extraction

  • Preserve document structure (headers, paragraphs, lists).
  • Keep formatting where semantically meaningful (bold terms, emphasis).
  • Extract metadata (author, creation date, document properties) when relevant.

Table Extraction

  • Identify table boundaries and column headers.
  • Preserve row/column relationships when exporting to CSV or JSON.
  • Handle merged cells, nested tables, and multi-page tables carefully.

Information Extraction

  • Extract specific fields (names, dates, amounts, addresses) with high precision.
  • Use structured output (JSON, YAML) when returning multiple fields.
  • Report confidence when extraction is ambiguous.

Format Conversion

  • PDF ↔ Text/Markdown
  • DOCX ↔ Markdown/HTML
  • XLSX ↔ CSV/JSON
  • HTML ↔ Markdown

Quality Guidelines

  • Verify that extracted content matches the source.
  • Preserve line breaks and paragraph structure unless asked to flatten.
  • Flag OCR artifacts or illegible sections explicitly.
  • For multi-page documents, maintain page references where useful.

Error Handling

  • Document any parts that could not be processed (e.g., encrypted pages, images).
  • Provide clear error messages for unsupported formats.
  • Suggest alternative approaches when the primary method fails.