Read and analyze academic papers directly from the Zotero library. This skill handles the complete workflow from searching Zotero to converting PDFs to readable markdown format.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionzotero-paper-readerExecute the skills CLI command in your project's root directory to begin installation:
Fetches zotero-paper-reader from fuzhiyu/researchprojecttemplate and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate zotero-paper-reader. Access via /zotero-paper-reader in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
2
total installs
2
this week
7
GitHub stars
0
upvotes
Run in your terminal
2
installs
2
this week
7
stars
Read and analyze academic papers directly from the Zotero library. This skill handles the complete workflow from searching Zotero to converting PDFs to readable markdown format.
Use this skill when the user requests to:
Use the Zotero MCP tools to search for the paper:
# Search by title, author, or keywords
mcp__zotero__zotero_search_items(query="paper title or author", limit=5)
Present the search results to the user if multiple papers are found. Get the item_key from the selected paper.
Retrieve the PDF attachment information:
# Get child items (attachments) for the paper
mcp__zotero__zotero_get_item_children(item_key="ITEM_KEY")
Look for the attachment with type: application/pdf and note its Key (attachment key) and Filename.
Use the bundled script to get the PDF - it automatically tries local storage first, then downloads if needed:
uv run python .claude/skills/zotero-paper-reader/scripts/get_zotero_pdf.py ATTACHMENT_KEY
The script workflow:
~/Zotero/storage/ATTACHMENT_KEY/)/tmp/[original_filename]Security note: The Zotero API key and library configuration are read directly from Notes/.env by the Python script and never exposed to the LLM. Required environment variables: ZOTERO_API_KEY, ZOTERO_LIBRARY_TYPE, ZOTERO_LIBRARY_ID.
Use the mistral-pdf-to-markdown skill to convert the PDF:
uv run python .claude/skills/mistral-pdf-to-markdown/scripts/convert_pdf_to_markdown.py \
"PATH_TO_PDF" \
"Notes/PaperInMarkdown/CLEAN_FILENAME.md"
Filename convention: Create a clean filename from the paper metadata:
Author_Year_Title.mdDu_et_al_2023_Are_Intermediary_Constraints_Priced.mdRead the converted markdown file:
# For large papers, read in sections
Read(file_path="Notes/PaperInMarkdown/FILENAME.md", offset=1, limit=500)
Since academic papers are often large (>25k tokens), read strategically:
Provide the user with:
User request: "Read the paper 'Are Intermediary Constraints Priced' from my Zotero library"
Workflow:
mcp__zotero__zotero_search_items(query="Are Intermediary Constraints Priced")mcp__zotero__zotero_get_item_children(item_key="KPRQ2DLZ")uv run python .claude/skills/zotero-paper-reader/scripts/get_zotero_pdf.py 2HSELEHX
uv run python .claude/skills/mistral-pdf-to-markdown/scripts/convert_pdf_to_markdown.py [PDF_PATH] Notes/PaperInMarkdown/Du_et_al_2023_Are_Intermediary_Constraints_Priced.mdRead(file_path="Notes/PaperInMarkdown/Du_et_al_2023_Are_Intermediary_Constraints_Priced.md", limit=500)ZOTERO_API_KEY, ZOTERO_LIBRARY_TYPE, and ZOTERO_LIBRARY_ID in Notes/.envNotes/.env for PDF conversionimages/ subfolderget_zotero_pdf.py - Unified script that tries local storage first, then downloads from web API if neededMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
davila7/claude-code-templates
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
zotero-paper-reader is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in zotero-paper-reader — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: zotero-paper-reader is focused, and the summary matches what you get after install.
I recommend zotero-paper-reader for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: zotero-paper-reader is focused, and the summary matches what you get after install.
I recommend zotero-paper-reader for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in zotero-paper-reader — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
zotero-paper-reader is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: zotero-paper-reader is focused, and the summary matches what you get after install.
zotero-paper-reader has been reliable in day-to-day use. Documentation quality is above average for community skills.
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