Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Fetches a research paper by arXiv link, DOI, or title, reads the full text, and writes a structured seminar-quality summary to a Notion page. The summary follows a fixed eight-section template covering method, experiments, ablations, and critical assessment. Output language matches the language of the user's request.
Unlike extractive summarizers, the agent reads the full PDF and writes an original analysis at seminar depth, including key equations and critical limitations.
When to use it
- Archiving papers read during a literature review into Notion
- Preparing for a lab meeting by summarizing a new arXiv preprint
- Building a personal research database with structured paper notes
- Quickly getting up to speed on a paper outside your subfield
- Sharing a formatted paper breakdown with collaborators via Notion
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Summarize https://arxiv.org/abs/2301.12345 and save it to my Notion reading list
- 1Runs extract_paper.py with the arXiv URL to produce /tmp/paper_extract.json
- 2Reads the extracted JSON section by section (Abstract, Introduction, Method, Experiments, Conclusion)
- 3Writes a structured summary JSON to /tmp/paper_summary.json following the eight-section template
- 4Runs push_to_notion.py with the summary file and the target Notion parent page ID
A Notion page titled with the paper name, containing structured sections for problem statement, method, experiments, ablations, limitations, and overall assessment
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.