# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

- Search: append `?q=<keywords>` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README.
- Filter by type: append `?type=<cli|skill|plugin|mcp>` to the URL.
- Filter by profession: append `?profession=<profession id>` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions
- Filter by tag: append `?tag=<tag>` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags

Tagged `zotero`: 8 items.

- [Zotero](https://hebbmind.com/ko/plugin/zotero.md): [Plugin] OpenAI's official Codex plugin that uses the local API of the Zotero desktop app to search your library, export BibTeX, insert citations into LaTeX or Markdown drafts, and import new references after you confirm. Requires Zotero desktop.
- [Claude Scholar](https://hebbmind.com/ko/skill/claude-scholar.md): [Skill] Semi-automated research workflow for computer science and AI researchers: ideation, Zotero literature management, experiment analysis and reports, paper writing and polishing, and rebuttals, with optional Obsidian knowledge base. 40+ skills; also installable as a Claude Code plugin.
- [Claude Scholar](https://hebbmind.com/ko/plugin/claude-scholar.md): [Plugin] Semi-automated research assistant for CS and AI researchers that links ideation, Zotero literature management, experiment analysis and reporting, paper writing and reviewer responses, and keeps project knowledge in Obsidian. Branches for Codex and other agents exist.
- [Zotero MCP](https://hebbmind.com/ko/mcp/zotero-mcp.md): [MCP] Connects to your local or cloud Zotero library: search by title, full text or semantics, read PDFs and annotations, add items by DOI and organize collections. Needs Python 3.10+; for local mode, enable the local API in Zotero settings first.
- [dailypaper-skills](https://hebbmind.com/ko/skill/dailypaper-skills.md): [Skill] Pulls new papers from Hugging Face Daily Papers and arXiv, scores them by research area into a recommendation page, and writes deep-read Obsidian notes for key ones; can also batch-read Zotero collections. Needs Python 3, Obsidian and poppler; copy the whole skills folder per the README.
- [Zotero MCP Plugin](https://hebbmind.com/ko/mcp/cookjohn-zotero-mcp.md): [MCP] A Zotero 7 plugin with a built-in MCP server: agents search your local library (title, author, tags, full text), read PDF full text, abstracts, notes and highlights, and create notes and tags. Needs Zotero desktop with the plugin enabled; semantic search needs OpenAI or Ollama embeddings.
- [DeepPaperNote](https://hebbmind.com/ko/skill/deeppapernote.md): [Skill] Turns a paper (title, DOI, arXiv ID or local PDF) into a structured Obsidian note covering the research question, method, key formulas, figures and limitations; can read local Zotero items first and includes a glossary-card skill. Needs Python 3.10+ and PyMuPDF.
- [ScholarAIO](https://hebbmind.com/ko/cli/scholaraio.md): [CLI] Research workbench that turns paper PDFs into a searchable library so Claude Code or Codex can find and close-read papers, draft reviews and manuscripts, answer reviewer comments and check citations. Imports from Zotero and EndNote. Needs Python 3.10+; an LLM API key is optional.