Does it search specific academic databases?

Yes, it uses intelligent web search strategies to prioritize academic repositories like arXiv and other open-access platforms to find the most recent and relevant papers.

What types of files does Talk Dig support?

Talk Dig primarily analyzes image files of academic posters (such as JPG and PNG) to extract speaker details, session titles, and event metadata.

Is this skill useful for conference organizers?

Absolutely. Organizers can use it to quickly generate speaker bios and suggested reading lists for attendees based on existing promotional materials.

What language are the paper summaries generated in?

The skill is currently optimized to provide detailed, structured summaries in Chinese, making it highly effective for Chinese-speaking researchers and students.

Can I use it for speakers with very common names?

To improve accuracy for speakers with common names, you can provide additional context such as the speaker's institution or specific research field in your Claude prompt.

Talk Dig - Academic Paper Researcher

Name: Talk Dig - Academic Paper Researcher
Author: ppx123-web

byppx123-web

Learning & Documentation

Analyzes academic talk posters to identify speakers and automatically discover and summarize their relevant research papers.

About

Talk Dig is a specialized research skill designed to streamline academic preparation by transforming poster images into comprehensive literature reviews. It leverages visual analysis to extract speaker details and lecture topics, then intelligently crawls the web for recent publications and research contributions. By providing structured Markdown reports with Chinese summaries and relevance rankings, it helps researchers and students quickly grasp a speaker's background and core contributions before attending a lecture or conference session.

Key Features

Automated poster image analysis to extract speaker names, titles, and affiliations
0 GitHub stars
Generation of concise Chinese summaries for discovered papers
Structured Markdown reporting including paper links and core contributions
Intelligent web search for recent and relevant academic publications
Contextual analysis linking speaker research history to the upcoming talk topic

Use Cases

Preparing for academic conferences by researching speakers in a specific session
Generating background reports for campus or departmental seminars
Discovering new literature and research trends within a specific academic niche

About

Key Features

Automated poster image analysis to extract speaker names, titles, and affiliations
0 GitHub stars
Generation of concise Chinese summaries for discovered papers
Structured Markdown reporting including paper links and core contributions
Intelligent web search for recent and relevant academic publications
Contextual analysis linking speaker research history to the upcoming talk topic

Use Cases

Preparing for academic conferences by researching speakers in a specific session
Generating background reports for campus or departmental seminars
Discovering new literature and research trends within a specific academic niche