Build a vector index over a local Zotero library for semantic search and MCP tools.
npx skills add https://github.com/xunhe730/ZotPilot --skill zotpilot
Please help me install this Agent Skill. Skill: zotpilot Source: https://github.com/xunhe730/ZotPilot/tree/main Command: npx skills add https://github.com/xunhe730/ZotPilot --skill zotpilot
ZotPilot helps researchers locate, organize, and reason about literature by enabling semantic search, citation graphs, and AI-assisted workflow over a local Zotero library.
Install ZotPilot, register your Zotero library, and start indexing to enable semantic search.
High-intent search queries and answers about installing and using this skill.
Semantic search over a Zotero library works by building a vector index of local items to enable meaning-based ranking. It supports section-aware retrieval to fetch targeted passages from Abstract, Methods, or Results sections.
Section-aware retrieval extracts targeted passages from specific paper sections like Abstract, Methods, or Results. It aids literature reviews by locating relevant text segments within a Zotero library rather than returning entire documents.
Yes, batch write operations via MCP tools can tag and organize items into collections. These changes sync back to the Zotero Web API, keeping your local library managed through the integrated interface.
Configurable embedding providers include Gemini, DashScope, or local embeddings. A no-RAG mode is also available to handle queries when embeddings are disabled or not configured.
Yes, citation graph queries support OpenAlex integration for citations. This allows you to traverse citation relationships and extract citation data directly over your local library.
No-RAG mode activates when embeddings are disabled, bypassing the vector index. It lacks meaning-based ranking and section-aware retrieval, functioning without the semantic search capabilities of the indexed mode.
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