alphaxiv-search

What problem does it solve?

This skill solves the challenge of performing comprehensive arXiv literature searches without consuming excessive context tokens or missing relevant work, by guiding tool selection and batching strategies to maximize coverage while preserving context.

Core Features & Use Cases

• Tiered search strategy: prioritize embedding_similarity_search for broad coverage, with guarded use of auxiliary tools to refine results.
• Batching and deduplication: optimize parallel calls and avoid duplicates when assembling Neo4j-ready results.
• Knowledge-graph integration: outputs metadata suitable for Source/Topic/Method-like nodes in a graph store to support ontology enrichment.

Quick Start

Run a broad arXiv search using the Tier 1 embedding similarity strategy to fetch the top 5 relevant papers.