What problem does it solve? Finding the right research papers for a question is hard: a single keyword search misses sibling methods, citation neighbors, and papers whose abstracts don't state the property you care about. This Skill turns a research query into a complete, verified paper set using Firecrawl Research tools. ## Core Features & Use Cases - Semantic paper search: HyDE-based search over paper abstracts via search_papers, the natural first move for almost any query. - Structural and semantic expansion: related_papers expands strong anchors by similarity, citers, or references to build full method families and enumerations. - Metadata and in-body verification: inspect_paper retrieves canonical citation metadata, while read_paper checks full-text passages to confirm a method, score, or affiliation. - Leaderboard lookups: firecrawl_search and firecrawl_scrape find benchmark rankings on the web, then map top entries back to papers. - Use Case: Ask "what are alternatives to Adam optimizer" and the Skill searches for anchors, expands via similar papers and citers, and returns the full relevant family ranked by relevance. ## Quick Start Find all papers that introduce or build on training-free detection of AI-generated text, including closely related methods.
