mip-pdf
Phase 7 of MIP pipeline - Generate final PDF document from the essay and appendix using pandoc.
Skills matching the name, description or GitHub author.
Phase 7 of MIP pipeline - Generate final PDF document from the essay and appendix using pandoc.
Convert documents and files to Markdown using markitdown. Use when converting PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls), HTML, CSV, JSON, XML, images (with EXIF/OCR), audio (with transcription)...
Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).
在沙盒环境中执行Python代码,用于数据分析、可视化和生成Excel、Word、PDF等文件。支持数据清洗、统计分析、机器学习、图表生成、文档自动化等复杂工作流。
Completes Java OOP university assignments from PDF specifications with minimal implementation. Use when user provides a PDF assignment file or mentions completing a Java/FOP/OOP homework exercise. Focuses on wr...
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews,...
Orchestrates PDF processing tasks including text extraction, form filling, merging, splitting, and creation. Detects PDF type and recommends appropriate tools. Use for any PDF manipulation task.
將文字或 Markdown 報告轉換為 PDF、Word (DOCX) 或 Markdown 檔案。
Intelligent multi-pass PDF analyzer for extracting document structure, content inventory, and metadata. Uses overview-first approach - scans for TOC, infers structure from semantics when TOC missing. Handles la...
Generate PDF and Word documents programmatically. Use for invoices, reports, contracts, or data exports.
PDF 遊戲規則轉換與翻譯流程。Use when processing PDF files, extracting content, splitting chapters, or translating game documentation.
This skill should be used when the user asks to "split PDF by chapters", "divide book into chapters", "extract chapters from PDF", or "break PDF into sections". Splits PDF documents based on table of contents o...
Extract content from documents (PDF, Word, Excel, PowerPoint) and answer questions with source citations
Run the complete PDF processing pipeline to convert the manual PDF into Next.js application data. This command executes all steps automatically: split, render, extract, translate, build, and manifest.
Translate and adapt resumes for different formats, languages, and audiences. Use when converting resumes to PDF/HTML, translating to other languages, or tailoring for specific roles.
Use when generating PDFs from markdown with Pandoc - covers differences from Python-Markdown, blank line rules, fix scripts for labels/anchors/metadata, and visual testing workflow
Process large documents (200+ pages) with structure preservation, intelligent parsing, and memory-efficient handling. Use when working with complex formatted documents, multi-level hierarchies, or when you need...
Interactive review sessions with academic PDFs (lectures, research papers, book chapters). Extract concepts, run Q&A sessions, generate quizzes with scoring. Preserves mathematical formulas in LaTeX format. Pri...
PDF export implementation patterns using html2pdf.js with iframe isolation
Extracting text and tables, merging/splitting documents. Use when needing to convert PDFs while preserving some structure.
Analyzes unstructured documents, conversations, and notes to generate structured markdown documentation containing user stories, system requirements, and feature specifications. Use this skill when you need to:...
Generate branded PDFs from markdown files. Use when converting case studies, proposals, or documentation to PDF format. Handles styling, templates, and batch conversion.
This skill should be used when the user asks to "convert recipe to Tandoor", "parse recipe from image", "extract recipe from PDF", "Rezept konvertieren", "translate recipe to German", mentions Tandoor recipes,...
Manipulate PDF files in Python: extract text/tables, create, merge, split, and fill forms. WHEN: Extracting text from PDFs, creating PDF documents, merging/splitting PDFs, filling PDF forms, working with pdfplu...
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