#Obsidian (2)

DeepTutor is HKUDS's open-source "lifelong personalized tutoring" platform (Apache-2.0, Python 3.11+ / Next.js 16, arXiv 2604.26962, 40.6k stars): chat, multi-engine RAG knowledge bases, living books, writing and practice unified in one learning workspace. Highlights: (1) Subagents & Partners — consult real agent harnesses on your machine (Claude Code, Codex, Grok CLI, Kimi, opencode, Hermes, DeepSeek and more) from inside a chat turn, streaming their work into the conversation, plus persistent IM companions; (2) multi-engine knowledge — versioned RAG libraries across LlamaIndex, PageIndex, GraphRAG, LightRAG (incl. remote server), self-hosted WeKnora, Tencent IMA, MarginNote 4, Kiwix ZIM archives and Obsidian vaults, with pluggable parsing (MinerU/Docling/Tika/markitdown/PyMuPDF4LLM/LiteParse) and KBs that track GitHub repos and doc sites with 24h hash-diffed sync; (3) Book compiles sources into editable typed blocks (text/quizzes/flashcards/timelines/concept graphs/interactive HTML), exports Markdown, and long compiles pause-and-resume; (4) personalized learning (Mastery Path, immersive reading with verified citations, read-aloud/quiz/translation) and a Co-Writer split-view Markdown workspace with KaTeX live preview; (5) an office-skills code sandbox running model-generated code over docx/pdf/pptx/xlsx; (6) an agent-native CLI — the open SKILL.md format is picked up automatically by Claude Code/Codex, and deeptutor run wraps into LangChain/AutoGen loops. Led by Bingxi Zhao, fully open source with no paid online products.

EducationAI-TutorRAG

Python41k5.1k190

handsomestWei/patent-disclosure-skillMIT

patent-disclosure-skill

patent-disclosure-skill (China Patents skill) is an open-source Agent Skills suite (MIT, Python 3.9+, Playwright-powered) covering the full Chinese patent workflow, built so that hands-on R&D engineers stop getting stuck at "how do I mine patentable points, write the prior-art search, and deliver figures plus an editable Word file". Eight sub-skills: patent-disclosure drafts invention/utility/design disclosures (mines protectable points from design docs and code, runs prior-art checks, sanitizes, writes, and iterates with multi-version archives and change traces, plus protective 1+N portfolio planning); patent-application converts disclosures into claims, spec, abstract and figures; patent-docket runs a disclosure-engineer-vs-patent-attorney role-play workflow that plans autonomously and asks rather than fabricates; patent-reader turns a publication number or PDF into plain-language notes and graphs, accumulating into a private Obsidian patent knowledge base; patent-map renders semantic terrain maps, applicant quadrants, family citation networks, tech-effect matrices and dashboards, all locally; patent-oa assists office-action responses (clause-by-clause Q&A plus RAG over distilled practitioner expertise); patent-search queries by name/company/classification and reverse-engineers search strings from a product photo or a claim; patent-exam-policy tracks CNIPA announcements and flags which drafting techniques may be outdated. It reads and generates figures: design line art from product photos, structure line drawings with part-number callouts, and isometric multi-view projections from CAD models. Disclosures land as timestamped output directories with mermaid diagrams; revisions coexist as new versions.

patentObsidianAgent Skills

Python11k1.1k29