DeepPaperNote: AI-Powered Deep Reading for Obsidian

DeepPaperNote: AI-Powered Deep Reading for Obsidian

DeepPaperNote is an AI-powered tool designed to generate a structured and analytical deep-reading note for a single academic paper, saving it directly into an Obsidian-style vault. It transforms user-provided inputs such as paper titles, DOIs, URLs, arXiv IDs, Zotero items, or local PDFs into polished Markdown notes containing well-organized content, evidence-based analysis, and placeholders for figures.

What this skill does

• Receives input in the form of a paper title, DOI, URL, arXiv ID, Zotero item, or local PDF.
• Performs a careful reading of the provided paper.
• Generates a high-quality, structured Markdown note summarizing the paper.
• Includes evidence-based analysis within the note.
• Creates placeholders for figures to maintain note completeness.
• Saves the resultant note into the user-specified Obsidian workspace or target location.

Who it is for

DeepPaperNote is ideally suited for developers and teams utilizing AI coding agents such as Claude Code, Cursor, and Codex. It benefits those involved in research, software development, and data analysis who require efficient tools to organize and condense academic literature into coherent notes.

Use cases

• Academic researchers requiring detailed, structured notes for literature reviews and analysis.
• Software developers integrating AI-generated content into their projects or documentation workflows.
• Teams working collaboratively on academic or technical projects where shared, structured insights are necessary.

Technical details

This AI agent skill relies on capabilities of agent-skills, aiapplication, and the DeepPaperNote module to ensure seamless operation within its designated environment. It supports multiple input formats and is compatible with both English and Chinese (`zh-CN` or `en`), based on user configuration settings. The configuration process involves Run Overrides and preference management to tailor the output to the user’s specifications.

Source & Licence

This package is built on open-source work published by 917Dhj (917Dhj/DeepPaperNote) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.