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By tuan3w
AI-powered research and knowledge management for your Obsidian vault — process books, videos, courses, and papers into structured notes, then synthesize, recall, and discover patterns across your entire second brain.
npx claudepluginhub tuan3w/obsidian-vault-agent --plugin obsidian-vault-agentYou are a note editing agent for a personal Zettelkasten vault in Obsidian.
You are a read-only research agent for a personal Zettelkasten vault in Obsidian.
You are a read-only analysis agent for a personal Zettelkasten vault in Obsidian. Your specialty is reading many notes and producing structured synthesis across them.
You are a note creation agent for a personal Zettelkasten vault in Obsidian.
Analyze a book (EPUB/PDF) and generate detailed chapter-by-chapter notes with extracted key concepts. Use when given a book file path to process.
Process an online course into detailed vault notes — one per lecture, with slides and transcripts synthesized. Use this skill whenever the user shares a course URL, syllabus page, or lecture playlist and wants structured notes from it. Also triggers on "process this course", "take notes on these lectures", "course notes", any university course page, or when someone pastes a link to a course with multiple lectures/sessions. Even if the user just says "check out this course" or drops a .edu link with a schedule — use this skill.
Deep, iterative, multi-source research that explores a topic from multiple perspectives, detects contradictions, and produces a comprehensive vault note with fact-level citations and a confidence map. Use this skill whenever the user says /deep-research, "deep research X", "research X thoroughly", "investigate X deeply", "I need to really understand X", or wants research that goes beyond a quick web search. Also use when the user wants to understand a complex, contested, or multi-faceted topic, compare competing approaches with evidence, or build a comprehensive mental model they can trust for decisions. This is heavier than /research — it searches web, academic papers, Reddit, and the vault, then loops through exploration and critique rounds until the evidence base is solid. When in doubt between /research and /deep-research, prefer this one if the topic is complex, contested, or the user wants depth over speed.
Initialize an Obsidian vault with the agent-ready Zettelkasten system — creates directory structure, templates, CLAUDE.md, MCP config, and hooks
Extract transcript and key slides from a local video file, then create a vault-formatted lecture note. Use this skill whenever a user provides a local video file (.mp4, .mov, .mkv, .avi, .webm) and wants notes from it. Triggers on "lecture", "take notes", "I have a recording of", "class video", "transcribe this presentation", "process this video for notes", or /lecture. Works with any language — auto-detects transcript language.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
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Second Brain OS — 16 skills for knowledge management, deep thinking, and vault operations powered by Obsidian.
Claude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault. Covers memory management, session notetaking, knowledge organization, and agent context across projects. Based on Andrej Karpathy's LLM Wiki pattern. Optional DragonScale Memory extension adds hierarchical log folds, deterministic page addresses, embedding-based semantic tiling lint, and boundary-first autoresearch topic selection.
Bidirectional knowledge flow between Claude Code and Obsidian — 20 MCP tools, skills, and hooks for PKM
LLM-maintained knowledge base skill — structured wiki with Obsidian, milestone-based source clustering, proactive write-back, and autonomous lint
Persistent, compounding knowledge base maintained by LLMs in Obsidian — agent-first edition. Four task-oriented agents (Researcher / Advisor / Curator / Scribe) with citations, confidence, supersession, and rolling session cache. Inspired by Karpathy's LLM Wiki pattern.
Interact with Obsidian vaults using the official Obsidian CLI (v1.12+). Read, create, append, search, and manage notes, daily notes, properties, tags, tasks, bookmarks, templates, themes, sync, plugins, and links — all from the terminal.
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
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A Claude Code plugin that gives your Obsidian vault specialized skills — process entire books, take notes on full courses, create presentations, research topics, and build a knowledge base that actually helps you think.
# Add the marketplace (one-time)
claude plugin marketplace add tuan3w/obsidian-vault-agent
# Install into your vault
claude plugin install obsidian-vault-agent --scope project
# Scaffold a new vault
mkdir my-vault && cd my-vault
claude
/init # creates vault structure, templates, hooks, MCP config
Requirements: Claude Code, uv (brew install uv), Obsidian
Python and Node dependencies are managed automatically — uv run (Python) and npx (Node) handle installation on first use. No manual pip install or npm install needed.
Tip: Use Claudian to run Claude Code directly inside Obsidian.
/course — Drop a course URL. The agent crawls the lecture schedule, processes each lecture in parallel (transcripts + slides), and creates structured notes for every session. One command, a full course of connected notes.
/course take notes on this course https://cs231n.stanford.edu/
/book-analyzer — Give it an EPUB or PDF. Extracts chapters, analyzes each in parallel with separate agents, synthesizes across the entire book. Key concepts become atomic notes linked to your vault.
/book-analyzer process this book ~/Downloads/thinking-fast-and-slow.epub
/lecture — Local video files → transcribed with mlx-whisper, slide frames extracted with timestamps, structured into lecture notes with embedded screenshots. Any language.
/lecture take notes on this lecture ~/recordings/mit-6s191-lecture12.mp4
/youtube — Paste a link. Synthesizes the transcript into a thematic note (not a dump), identifies concepts worth extracting.
/youtube check out this talk https://www.youtube.com/watch?v=SjhIlw3Iffs
/process — The core learning skill. Open a source note and run /process. The agent asks you retrieval questions before showing content (generation effect — writing from memory beats copying), identifies concepts to extract, suggests cross-domain connections, creates linked notes. You do the thinking. The agent structures it.
/recall — Not flashcards. Interleaves domains aggressively — ML + psychology + finance in one session. Finds two unlinked notes from different domains sharing the same concept and asks: do you see the link?
/synthesize — Exhausts your vault's knowledge on a topic across all domains, surfaces contradictions you haven't noticed, forces abstraction, asks uncomfortable questions anchored in your own evidence.
/synthesize what do I know about scaling laws? connect ideas across my vault
/research — Multi-pass: decomposes your question into sub-queries, searches web + your vault, detects gaps, runs follow-ups. Knows what your vault already covers so it doesn't repeat.
/research how do scaling laws apply to reinforcement learning?
/deep-research — When /research isn't enough. Discovers perspectives before searching (not just sub-questions), hits 4 source types in parallel (web, academic papers, Reddit, vault), then loops through exploration → critique rounds until contradictions are resolved and gaps are filled. Produces a note with fact-level citations and a confidence map.
/deep-research how are foundation models changing drug discovery? --deep
/paper-discover — Searches Semantic Scholar, ranks by vault relevance (not just citations). Finds papers similar to ones you have, discovers gaps in your reading.
/paper-discover find papers about mechanistic interpretability related to what I've read
/slide-maker — Not generic AI slides. Asks about your audience, picks color palettes that fit the topic, generates insight headlines (not labels), enforces real design principles.
/slide-maker make a presentation about attention mechanisms for ML engineers
/vault-graph — Analyzes your wikilinks as a directed graph — PageRank, bridge concepts between isolated domains, orphan detection. Tells you which notes to create next.