What problem does it solve?
This Skill automates the process of reading one or multiple PDF/DOCX documents and producing a coherent, requirement-driven Markdown text (paper, article, report, review, brief, proposal, etc.), removing the need for manual summarization and drafting from source files.
Core Features & Use Cases
- Document ingestion: Accepts up to 50 remote PDF/DOCX URLs or local PDF files converted page-by-page into images for GLM-V processing.
- Flexible output: Generates full Markdown content tailored to user requirements, including academic papers, articles, summaries, reviews, and proposals.
- CLI and integration: Provides a Python CLI script with options for custom system prompts, temperature, max tokens, and saving results as .md or .json; requires a ZHIPU_API_KEY and optionally PyMuPDF for local PDF support.
- Use case: Convert a set of research PDFs into a single structured article that highlights methodology, key findings, and implications.
Quick Start
Draft a 500-word technical article in Markdown from the provided PDF URL focusing on methodology, results, and a concise conclusion.