Document Parser Skill
Skill 已验证>
This skill uses the docling library to parse complex PDFs, Word documents, and images, preserving structure, extracting tables, and handling multi-column layouts. It provides Python code examples for basic and advanced usage, including batch processing and specific document types like academic papers and reports.
Scope
- warning:Description qualityThe displayed description is an empty string, providing no information about the skill's purpose or capabilities.
Documentation
- info:Configuration & parameter referenceThe skill provides Python code snippets demonstrating configuration options for the 'docling' library, but explicit parameter documentation and precedence are not detailed within the SKILL.md itself.
Code Execution
- info:ValidationThe skill documentation shows examples of using the 'docling' library, which likely has internal validation, but explicit schema-based validation for inputs and outputs within the skill's context is not detailed.
- info:Error HandlingThe Python examples show basic try-except blocks for error handling within the 'docling' library usage, but detailed error categorization, meaningful reporting, or specific recovery steps are not extensively documented in the skill.
Compliance
- info:GDPRThe skill processes document content, which may contain personal data, but there are no specific sanitization steps mentioned within the skill itself before submission to the LLM. The 'docling' library may handle this, but it's not explicit here.
Practical Utility
- info:Edge casesLimitations such as handling very large documents, scanned content needing OCR, complex tables, and encrypted PDFs are mentioned, but specific failure modes and recovery steps are not detailed.
安装
npx skills add claude-office-skills/skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
类似扩展
PaddleOCR Document Parsing
98Use this skill to extract structured Markdown/JSON from PDFs and document images—tables with cell-level precision, formulas as LaTeX, figures, seals, charts, headers/footers, multi-column layout and correct reading order. Trigger terms: 文档解析, 版面分析, 版面还原, 表格提取, 公式识别, 多栏排版, 扫描件结构化, 发票, 财报, 复杂 PDF, PDF转Markdown, 图表, 阅读顺序; reading order, formula, LaTeX, layout parsing, structure extraction, PP-StructureV3, PaddleOCR-VL.
Smart OCR Skill
92>
PDF to DOCX Converter
98Convert PDF files to editable Word documents using pdf2docx
PDF Extraction
95Extract text, tables, and metadata from PDFs using pdfplumber
Table Extractor
92>
AI Multimodal Processing Skill
95Multimodal AI processing via Google Gemini API (2M tokens context). Capabilities: audio (transcription, 9.5hr max, summarization, music analysis), images (captioning, OCR, object detection, segmentation, visual Q&A), video (scene detection, 6hr max, YouTube URLs, temporal analysis), documents (PDF extraction, tables, forms, charts), image generation (text-to-image, editing). Actions: transcribe, analyze, extract, caption, detect, segment, generate from media. Keywords: Gemini API, audio transcription, image captioning, OCR, object detection, video analysis, PDF extraction, text-to-image, multimodal, speech recognition, visual Q&A, scene detection, YouTube transcription, table extraction, form processing, image generation, Imagen. Use when: transcribing audio/video, analyzing images/screenshots, extracting data from PDFs, processing YouTube videos, generating images from text, implementing multimodal AI features.