pyzotero▌
K-Dense-AI/scientific-agent-skills · updated Jun 4, 2026
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### Pyzotero
- ›name: "pyzotero"
- ›description: "Interact with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this..."
- ›allowed-tools: "Read Write Edit Bash"
| name | pyzotero |
| description | Interact with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero. |
| allowed-tools | Read Write Edit Bash |
| license | MIT License |
| compatibility | Requires Python 3.10+ and pyzotero 1.13+. Web API access needs a Zotero API key. Optional CLI and MCP extras require Zotero 7 with local API access enabled. |
| metadata | version: "1.0" skill-author: K-Dense Inc. |
Pyzotero
Pyzotero is a Python wrapper for the Zotero API v3. Use it to programmatically manage Zotero libraries: read items and collections, create and update references, upload attachments, manage tags, and export citations.
Current upstream: pyzotero 1.13.0 (PyPI, May 2026). Docs: pyzotero.readthedocs.io.
Authentication Setup
Required credentials — get from https://www.zotero.org/settings/keys:
- User ID: shown as "Your userID for use in API calls"
- API Key: create at https://www.zotero.org/settings/keys/new
- Library ID: for group libraries, the integer after
/groups/in the group URL
Store credentials in environment variables or a .env file:
ZOTERO_LIBRARY_ID=your_user_id
ZOTERO_API_KEY=your_api_key
ZOTERO_LIBRARY_TYPE=user # or "group"
See references/authentication.md for full setup details.
Installation
uv add pyzotero # Web API client
uv add "pyzotero[cli]" # + local CLI (Zotero 7)
uv add "pyzotero[mcp]" # + MCP server for LLM clients (Zotero 7)
Quick Start
import os
from pyzotero import Zotero
zot = Zotero(
library_id=os.environ['ZOTERO_LIBRARY_ID'],
library_type=os.environ.get('ZOTERO_LIBRARY_TYPE', 'user'),
api_key=os.environ['ZOTERO_API_KEY'],
)
# Retrieve top-level items (returns 100 by default)
items = zot.top(limit=10)
for item in items:
print(item['data']['title'], item['data']['itemType'])
# Search by keyword
results = zot.items(q='machine learning', limit=20)
# Retrieve all items (use everything() for complete results)
all_items = zot.everything(zot.items())
Core Concepts
- A
Zoteroinstance is bound to a single library (user or group). All methods operate on that library. - Item data lives in
item['data']. Access fields likeitem['data']['title'],item['data']['creators']. - Pyzotero returns 100 items by default (API default is 25). Use
zot.everything(zot.items())to get all items. - Write methods return
Trueon success or raise aZoteroError.
Reference Files
| File | Contents |
|---|---|
| references/authentication.md | Credentials, library types, local mode |
| references/read-api.md | Retrieving items, collections, tags, groups |
| references/search-params.md | Filtering, sorting, search parameters |
| references/write-api.md | Creating, updating, deleting items |
| references/collections.md | Collection CRUD operations |
| references/tags.md | Tag access and management |
| references/files-attachments.md | File download and attachment uploads |
| references/exports.md | BibTeX, CSL-JSON, bibliography export |
| references/pagination.md | follow(), everything(), generators |
| references/full-text.md | Full-text content indexing and access |
| references/saved-searches.md | Saved search management |
| references/cli.md | Command-line interface (local Zotero 7) |
| references/mcp.md | MCP server for LLM clients (local Zotero 7) |
| references/error-handling.md | Errors and exception handling |
Common Patterns
Fetch and modify an item
item = zot.item('ITEMKEY')
item['data']['title'] = 'New Title'
zot.update_item(item)
Create an item from a template
template = zot.item_template('journalArticle')
template['title'] = 'My Paper'
template['creators'][0] = {'creatorType': 'author', 'firstName': 'Jane', 'lastName': 'Doe'}
zot.create_items([template])
Export as BibTeX
zot.add_parameters(format='bibtex')
bibtex = zot.top(limit=50)
# bibtex is a bibtexparser BibDatabase object
print(bibtex.entries)
Local mode (read-only, no API key needed)
zot = Zotero(library_id='123456', library_type='user', local=True)
items = zot.items()
Local Zotero 7 (CLI or MCP, no API key)
For searching a locally running Zotero desktop app (including full-text PDF search), use the CLI or MCP server instead of the Web API. Both require Zotero 7 with local API access enabled. See references/cli.md and references/mcp.md.
How to use pyzotero on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add pyzotero
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches pyzotero from GitHub repository K-Dense-AI/scientific-agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate pyzotero. Access the skill through slash commands (e.g., /pyzotero) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★59 reviews- ★★★★★Dhruvi Jain· Dec 20, 2024
Keeps context tight: pyzotero is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Noor Wang· Dec 20, 2024
Registry listing for pyzotero matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ava Gupta· Dec 8, 2024
pyzotero is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Hiroshi Robinson· Dec 4, 2024
Solid pick for teams standardizing on skills: pyzotero is focused, and the summary matches what you get after install.
- ★★★★★Sakura Martinez· Dec 4, 2024
Useful defaults in pyzotero — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Min Chawla· Nov 27, 2024
pyzotero reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Mia Farah· Nov 23, 2024
We added pyzotero from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Valentina Ramirez· Nov 15, 2024
Useful defaults in pyzotero — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Oshnikdeep· Nov 11, 2024
Registry listing for pyzotero matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Noor Jackson· Nov 11, 2024
Keeps context tight: pyzotero is the kind of skill you can hand to a new teammate without a long onboarding doc.
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