An AI-driven research assistant that extracts, analyzes, and synchronizes deep academic paper summaries directly into Notion.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install paper-notion-summarizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install paper-notion-summarizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Paper Notion Summarizer?
The Paper Notion Summarizer is a sophisticated tool designed for the Openclaw Skills ecosystem that transforms how researchers consume academic literature. Unlike basic extractive tools, this agent performs a deep reading of the full paper text to generate original, seminar-quality analysis. It identifies core methodologies, key equations in LaTeX, and experimental results, ensuring that the final output is both technical and insightful.
The skill is uniquely capable of language adaptation, automatically generating summaries in the user's preferred language while maintaining technical accuracy in English. It bridges the gap between raw PDF data from sources like arXiv and a structured, searchable knowledge base in Notion, making it an essential component of any modern research stack built on Openclaw Skills.
Paper Notion Summarizer Use Cases
- Automating literature reviews by generating structured summaries of multiple arXiv papers.
- Building a personal research database in Notion with consistent formatting and metadata.
- Translating complex technical papers into a primary language for better comprehension while keeping technical terms intact.
- Extracting key equations and experimental data into a centralized knowledge management system.
How Paper Notion Summarizer Works
- Extract: The agent uses a Python script to fetch paper metadata and full-text content from arXiv or a DOI link.
- Analyze: The AI reads the extracted content in segments, focusing on problem motivation, methodology, and experimental results.
- Summarize: A structured JSON summary is generated, incorporating LaTeX for equations and maintaining a critical perspective on limitations.
- Synchronize: The finalized summary is pushed to a specified Notion page via the Notion API, creating a new, formatted sub-page.
Paper Notion Summarizer Setup
To integrate this into your Openclaw Skills workflow, follow these steps:
- Install the required PDF processing library:
pip install pypdf
- Configure your environment variables for Notion integration:
export NOTION_API_KEY='your_api_key'
export NOTION_PARENT_PAGE_ID='your_page_id'
- Run the extraction script to test connectivity:
python3 scripts/extract_paper.py --title "Attention Is All You Need" -o /tmp/paper_extract.json
Paper Notion Summarizer Data Schema & Taxonomy
The skill organizes research data into a strictly structured JSON format before uploading to Notion. The schema includes:
| Field | Type | Description |
|---|---|---|
| title | String | Original paper title |
| metadata | Object | Authors, year, venue, DOI, and source URL |
| sections | Array | List of summary chapters including Problem, Method, and Experiments |
| content | Markdown | Rich text containing LaTeX equations and bulleted analysis |
All summaries are nested under a parent Notion page for organized knowledge management through Openclaw Skills.
Paper Notion Summarizer Advanced Features
- Multi-language output support that adapts the summary heading and content to the user's query language.
- LaTeX integration for high-fidelity rendering of technical mathematical equations in Notion.
- Context-aware reading strategies that handle long papers in logical chunks from Abstract to Conclusion.
- Overwrite protection with the --force-update flag to manage versioning of research entries.
- Dry-run capability to preview summaries locally before committing them to the Notion workspace.
SKILL.md
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