# Tools > Every listed resource, editors’ picks first. The filters below can be combined. - Search: append `?q=` 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=` to the URL. - Filter by profession: append `?profession=` 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=` 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 `pdf`, `knowledge-base`: 8 items. - [book-to-skill](https://hebbmind.com/ja/skill/book-to-skill.md): [Skill] Distills technical books, doc folders or paper collections (PDF, EPUB, DOCX, Markdown and more) into an agent skill with a core framework, on-demand chapter files, glossary and cheat sheet for lookup while working. Extraction needs local Python; poppler or docling optional for PDFs. - [evil-read-arxiv](https://hebbmind.com/ja/skill/evil-read-arxiv.md): [Skill] Recommends daily papers from arXiv and Semantic Scholar by research interest, reads them and writes illustrated Obsidian notes and a paper graph; can also search venues like CVPR and NeurIPS. Needs Python 3, Obsidian, a vault path and an interests config; the web app needs an Anthropic API key. - [Tutor Skills](https://hebbmind.com/ja/skill/tutor-skills.md): [Skill] Two companion skills: /tutor-setup turns PDFs, lecture notes or a codebase into an Obsidian study vault with concept notes and practice questions, and /tutor quizzes you with multiple-choice questions on weak spots and tracks mastery. For students reviewing or self-studying; best viewed in Obsidian. - [dailypaper-skills](https://hebbmind.com/ja/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. - [DeepPaperNote](https://hebbmind.com/ja/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. - [learn-from-materials](https://hebbmind.com/ja/skill/learn-from-materials.md): [Skill] Turns books, PDFs, slides, Word files and web pages into a traceable knowledge base and an offline interactive study page with core frameworks, a glossary, a concept map, self-tests and local notes, keeping source text apart from model additions. Needs Python 3.10+. - [Knowledge Absorber](https://hebbmind.com/ja/skill/studyanalysis-skills.md): [Skill] Turns web pages, long PDFs, Word files, images or code into tutor-style study notes: Markdown notes plus searchable HTML knowledge cards with concept breakdowns and mind maps. Needs Python 3.8+, plus Chrome for some sites; the optional tutor chat needs an OpenAI-compatible API key. - [ScholarAIO](https://hebbmind.com/ja/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.