Zotero Management logo

Zotero Management

Community
jxtse
zotero-management

Manages a Zotero academic reference library through both the local API (localhost:23119, read-only) and the Web API (api.zotero.org, read-write), using a structured collection hierarchy (Inbox / Active Projects / Background / Reading Queue / Archive / Meta) plus project, status, priority, and type tags. Handles adding papers with full metadata, deduplication, attaching provenance notes, moving items between collections, updating tags after reading, listing the prioritized reading queue, and setting up the literature scaffold for a new project. Use when the user asks to add / save / file / organize a paper in Zotero, check / list / clean up the reading queue, move papers between collections, tag papers for a project, query their library ("what do I have on X?"), or set up Zotero for a new research project.

Overview

Publisherjxtse
Repositoryscientific-research-skills
Skill namezotero-management
Stars
76
Forks
6
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by jxtse on GitHub. Read the source before you install it.

Installation

Install the Zotero Management AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jxtse/scientific-research-skills/tree/main/skills/zotero-management
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jxtse/scientific-research-skills.git /tmp/scientific-research-skills
mkdir -p .claude/skills
cp -r /tmp/scientific-research-skills/skills/zotero-management .claude/skills/zotero-management
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Zotero Management in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Zotero Management on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Zotero Management is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Zotero Library Management

Systematic management of an academic literature library via Zotero.

When to Use

  • User asks to add a paper to Zotero
  • User asks to check their reading queue
  • User wants to organize papers for a project
  • User asks "what's in my library about X?"
  • User asks to clean up or reorganize collections

Library Structure

Standard collection hierarchy:

00_Inbox           → Newly added, unprocessed papers
10_Active Projects → Papers actively being used in current work
20_Background      → General domain knowledge, surveys, textbooks
30_Reading Queue   → Papers to read, prioritized
40_Archive         → Completed projects, historical reference
90_Meta            → Templates, style guides, writing resources

Tag System

Use tags to cross-cut the collection hierarchy:

  • Project tags: #Inception, #AI-Scientist-BioAge, #ChemRetro, #CAST
  • Status tags: #to-read, #reading, #read, #summarized
  • Priority tags: #urgent, #high, #low
  • Type tags: #survey, #method, #benchmark, #position-paper

API Access

Two access modes:

ModeEndpointCapability
Local APIlocalhost:23119Read-only, fast, requires Zotero running
Web APIapi.zotero.orgRead-write, works always, needs API key
bash
# Check if Zotero is running locally
curl -s http://localhost:23119/api/users/0/items?limit=1

# Web API (read-write)
curl -s -H "Zotero-API-Key: $ZOTERO_API_KEY" \
  "https://api.zotero.org/users/$ZOTERO_USER_ID/items?limit=5"

Workflows

Adding a Paper

  1. Find metadata: Get title, authors, year, venue, DOI/arXiv ID
  2. Check for duplicates: Search existing library by title
  3. Present summary to user: Don't auto-add — confirm first
  4. Add to Zotero via Web API with:
    • Correct item type (journalArticle, conferencePaper, preprint)
    • All available metadata fields
    • Collection: 30_Reading Queue (default) or user-specified
    • Tags: project tag + #to-read
  5. Attach notes: Source link (social media post, blog, etc.) as a note

Checking Reading Queue

bash
# Get items in Reading Queue collection
curl -s -H "Zotero-API-Key: $ZOTERO_API_KEY" \
  "https://api.zotero.org/users/$ZOTERO_USER_ID/collections/<COLLECTION_KEY>/items?limit=50"

Present as a prioritized list:

📚 Reading Queue (N papers)

🔴 Urgent:
1. [Paper Title] — added [date], tagged #Inception

🟡 High priority:
2. [Paper Title] — added [date], tagged #AI-Scientist-BioAge

⚪ Normal:
3. ...

After Reading a Paper

  1. Move from 30_Reading Queue to 10_Active Projects or 20_Background
  2. Update tag: #to-read → #read or #summarized
  3. Add reading notes as a child note item
  4. Link to project if relevant

Project Literature Setup

When starting a new project:

  1. Create a project tag (e.g., #NewProject)
  2. Do initial literature search (use literature-search skill)
  3. Batch-add relevant papers to 30_Reading Queue with project tag
  4. Prioritize: which papers must be read first?

Key Principles

  1. Confirm before adding — always show summary, let user decide
  2. Preserve provenance — record where you found the paper (social media link, search query)
  3. One source of truth — Zotero is the canonical library; don't maintain parallel lists
  4. Tags cross-cut collections — a paper can be in one collection but tagged for multiple projects
  5. Regular maintenance — periodically review Inbox and Reading Queue for stale items

Frequently asked questions

What does the Zotero Management AI skill do?

Manages a Zotero academic reference library through both the local API (localhost:23119, read-only) and the Web API (api.zotero.org, read-write), using a structured collection hierarchy (Inbox / Active Projects / Background / Reading Queue / Archive / Meta) plus project, status, priority, and type tags. Handles adding papers with full metadata, deduplication, attaching provenance notes, moving items between collections, updating tags after reading, listing the prioritized reading queue, and setting up the literature scaffold for a new project. Use when the user asks to add / save / file / o...

Why use Zotero Management on TypingMind?

Because you install it once and use it with any model. Zotero Management is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Zotero Management in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jxtse/scientific-research-skills/tree/main/skills/zotero-management. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Zotero Management?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Zotero Management?

As many as you like. As long as a model supports skills, you can use Zotero Management with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Zotero Management AI skill free?

Yes. It is published on GitHub by jxtse under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇