What problem does it solve? Finding a specific paper inside a large collection of Markdown research notes is slow when done manually. This Skill searches your existing paper notes by title, author, keyword, research field, or tag and returns ranked, linked results. ## Core Features & Use Cases - Multi-type Search: Supports title, author, keyword, field, and tag searches across the 20_Research/Papers/ directory using Grep. - Relevance Scoring: Ranks results with weighted scores (title match +10, author +8, content/field +5, tag +3) and groups them by research area. - Structured Output: Returns results with title, wikilink, authors, date, field, and match location, plus suggestions when nothing is found. - Use Case: You remember reading a paper about quantization in your LLM notes. Run a combined field + keyword search to instantly list all matching papers with links and relevance scores. ## Quick Start Search my paper notes for papers about quantization in the large language model field.