Longevity Scholar
Finds and synthesizes academic research papers on longevity, aging, and lifespan extension from Semantic Scholar.
The source repository doesn't declare a license. Check its terms before reusing the code.
Key features
- Synthesizes key findings from multiple papers into a natural language summary
- Filters research by date, year, and citation count
- Searches the Semantic Scholar API for academic papers
- Generates a structured citation list with titles, links, citation counts, and abstracts
- Uses an automated three-query retry logic for comprehensive searches
Use cases
- Discovering the latest research on a specific longevity intervention (e.g., rapamycin).
- Finding the most cited or foundational papers in a particular area of aging research.
- Compiling a list of relevant academic articles from a specific time period.
FAQ
How does this skill improve my workflow?
It automates searching academic databases. Instead of manually sifting through papers, you get a targeted, AI-synthesized summary of the most relevant findings and a ready-to-use citation list, saving you significant research time and effort.
When should I use this skill?
Use this skill when you explicitly need academic literature, such as finding the 'latest research,' 'most cited papers,' or 'scholarly articles' on any longevity-related topic. It's designed for specific research queries, not general questions about aging.
What key capabilities does it provide?
Longevity Scholar searches Semantic Scholar, filters results by date or citation count, uses a smart three-query retry logic for better results, synthesizes findings into a natural language summary, and generates a structured citation list with links and abstracts.
What does the Longevity Scholar skill do?
It uses the Semantic Scholar API to find academic papers on longevity, aging, and lifespan extension. It then synthesizes the key findings into a clear summary and provides a formatted list of citations, making complex research highly accessible.
Related skills
Research
Augments agent context with up-to-date technical information through targeted web searches and architectural deep dives to ensure accurate, secure, and modern implementations.
Learning Documentation112 ptsAsk Gemini
Leverages the Gemini CLI to perform web searches and retrieve real-time information for current events, technical queries, and general research.
Learning Documentation412 ptsLocal Research
Performs in-depth codebase research and documents findings in persistent, structured markdown files.
Learning Documentation1112 pts