What problem does it solve?
Finding Korean academic literature requires manually navigating the RISS portal and repeating searches across theses, domestic and international articles, books, and research reports. This Skill queries the official KERIS RISS search Open API directly and returns structured metadata in one step.
Core Features & Use Cases
- Unified academic search: Query by keyword, title, author, subject, or publisher across theses, domestic/international articles, books, research reports, and journals, with combined resource types merged round-robin.
- Structured metadata output: Returns title, authors, publisher, year, RISS detail link, and full-text availability/free-access flags as JSON or readable text, with pagination up to 100 results per page.
- Use Case: Ask for papers on "인공지능 교육" and receive a summarized list of matching theses and articles with authors, publication years, and links, without opening the RISS website.
Quick Start
Ask the agent to search RISS for Korean academic papers about a topic such as "한국어 교육" and summarize the top results with links.