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Start free →ZotPilot - Academic Research Assistant
Zotero integration for seamless academic research management
❌ Researchers struggle to find, organize, and track citations across scattered academic papers and libraries.
✅ Users gain a centralized system to search, organize, and manage their entire paper collection with intelligent tagging and citation tracking.
- ✓Search and retrieve papers from your Zotero library
- ✓Organize papers with intelligent tagging and categorization
- ✓Track citation relationships and discovery who cites your work
- ✓Generate literature reviews from organized collections
- ✓Synchronize and manage research across devices
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Description
--- name: zotpilot description: >- Use when user mentions Zotero, academic papers, citations, literature reviews, research libraries, or wants to search/organize their paper collection. Also triggers on "find papers about...", "what's in my library", "organize my papers", "who cites...", "tag these papers". Always use this skill for Zotero-related tasks. license: MIT compatibility: - Python 3.10+ - Zotero desktop (installed and run at least once) --- # ZotPilot > All script paths are relative to this skill's directory. ## Step 1: Check readiness **Python command:** Use `python3` on Linux/macOS. On Windows, use `python`. Run: `python3 scripts/run.py status --json` (Windows: `python scripts/run.py status --json`) Parse the JSON output and follow the FIRST matching branch: 1. Command fails entirely → **Prerequisites** (see `references/setup-guide.md`) 2. `config_exists` is false → **First-Time Setup** (see `references/setup-guide.md`) 3. `errors` is non-empty → **First-Time Setup** (note: `warnings` like API key not in env are OK if key was passed to `register`) 4. `index_ready` is false or `doc_count` is 0 → go to **Index** below 5. All green → go to **Research** **Inline fallback** (if agent cannot access references/): ```bash python3 scripts/run.py setup --non-interactive --provider gemini python3 scripts/run.py register # Restart your AI agent, then ask again. ``` If any errors: run `python3 scripts/run.py doctor` for diagnostics. ## Index (if doc_count = 0) MCP tools are now available. Index the user's papers: ```bash python3 scripts/run.py index ``` Indexing takes ~2-5 seconds per paper. Documents over 40 pages are skipped by default. After indexing, check for "Skipped N long documents" — offer to index them with `--max-pages 0`. ## Research (daily use) ### Tool selection — pick the RIGHT tool first | User intent | Tool | Key params | |---|---|---| | Find specific passages or evidence | `search_papers` | `query`, `top_k=10`, `section_weights`, `required_terms` | | Survey a topic / "what do I have on X" | `search_topic` | `query`, `num_papers=10` | | Find a known paper by name/author | `search_boolean` | `query`, `operator="AND"` | | Find data tables | `search_tables` | `query` | | Find figures | `search_figures` | `query` | | Read more context around a result | `get_passage_context` | `doc_id`, `chunk_index`, `window=3` | | See all papers | `get_library_overview` | `limit=100`, `offset=0` | | Paper details | `get_paper_details` | `item_key` | | Who cites this? | `find_citing_papers` | `doc_id` | | Tag/organize one paper | `add_item_tags`, `add_to_collection` | `item_key` | | Batch tag/organize many papers | `batch_tags`, `batch_collections` | `items` or `item_keys`, `action` | | Search external databases for new papers | `search_academic_databases` | `query`, `limit=20` | | Add a paper by DOI/arXiv/URL | `add_paper_by_identifier` | `identifier` | | Batch add papers from search results | `ingest_papers` | `papers` (from search_academic_databases) | ### Workflow chains **Literature review:** search_topic → get_paper_details (top 5) → find_references → search_papers with section_weights **"What do I have on X?":** search_topic(num_papers=20) → report count, year range, key authors, top passages **Organize by theme (batch):** search_topic → create_collection → batch_collections(action="add", item_keys=[...]) → batch_tags(action="add", items=[...]) **Find specific paper:** search_boolean first (exact terms) → fallback to search_papers (semantic) → get_paper_details **Find and add new papers:** search_academic_databases → review candidates with user → ingest_papers → index_library **Organize library (classification advisor):** get_library_overview + list_collections + list_tags → analyze themes via search_topic → diagnose issues (uncategorized papers, inconsistent tags, oversized collections) → propose collection hierarchy + tag normalization → interview user for confirmation → batch_collections + batch_tags(add/remove) to execute ### Output formatting - Lead with paper title, authors, year, citation key - Quote the relevant passage directly - Include page number and section name - Group results by paper, not by chunk - Render table content as markdown tables - NEVER dump raw JSON to the user ### Error recovery | Error | Fix | |---|---| | Empty results | Try broader query, or `search_boolean` for exact terms. Check `get_index_stats` | | "GEMINI_API_KEY not set" | Expected if key was passed to `register`. Only re-run setup if provider is wrong | | "ZOTERO_API_KEY not set" | Write ops need Zotero Web API credentials — see `references/setup-guide.md` | | "Document has no DOI" | Cannot use citation tools for this paper | | "No chunks found" | Paper not indexed — run `index_library(item_key="...")` | ### Write operations (tags, collections) Write tools require Zotero Web API credentials (`ZOTERO_API_KEY` + `ZOTERO_USER_ID`). If missing, see **Configure Zotero Web API** in `references/setup-guide.md`. **Single-item:** `add_item_tags`, `set_item_tags`, `remove_item_tags`, `add_to_collection`, `remove_from_collection`, `create_collection` **Batch (max 100 items):** `batch_tags(action="add|set|remove")`, `batch_collections(action="add|remove")` Partial failures are reported per-item without rollback. For detailed parameter reference, see `references/tool-guide.md`. For common issues and fixes, see `references/troubleshooting.md`.
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