Automates Zotero library interactions via the Zotero Web API v3 for CRUD, search, export, and synchronization.
npx skills add https://github.com/shushuzn/Rairos --skill pyzotero-shushuzn
Please help me install this Agent Skill. Skill: pyzotero Source: https://github.com/shushuzn/Rairos/tree/main/skills/pyzotero Command: npx skills add https://github.com/shushuzn/Rairos --skill pyzotero-shushuzn
This Skill solves the problem of manually managing Zotero libraries when you need repeatable, automated access to reference data, collections, tags, and attachments.
Use case: You maintain a local research pipeline that ingests new papers, attaches PDFs to existing records, tags items for downstream review, and exports an up-to-date bibliography for writing.
Use the pyzotero skill to query your Zotero library for items matching machine learning and return the top 20 results as Python objects.
High-intent search queries and answers about installing and using this skill.
Automate Zotero library management at scale by using a Python client to interact with the Zotero Web API v3 for reading, writing, searching, and synchronizing bibliographic metadata. This supports programmatic item and collection CRUD operations, tag management, and attachment handling.
Yes, you can export Zotero citations to BibTeX, CSL-JSON, RIS, and other formats programmatically. This is achieved by retrieving structured bibliographic metadata through the Zotero Web API v3 and formatting it for downstream writing or publishing workflows.
To manage Zotero collections and tags through the API, you need to bind to a single user or group library using your API credentials. This allows you to perform automated CRUD operations, apply tags for downstream review, and handle pagination for large libraries.
The Zotero API supports downloading attachment binaries and uploading PDF attachments, though the upload functionality is currently in beta. You can also retrieve or index full-text content from attachments to enable better discovery and search workflows.
Retrieve large numbers of items from a Zotero library without timing out by utilizing the Pyzotero client's API v3 pagination patterns. This allows you to systematically fetch structured response fields, notably item['data'], across extensive collections.
Yes, you can use Zotero in a local read-only mode without providing API credentials. This allows you to query bibliographic metadata, search items, and export citations from a bound library context without write access.
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