By AgriciDaniel
Turns any Claude conversation into a persistent, self-organizing Obsidian wiki vault with hybrid retrieval, methodology-based filing (LYT/PARA/Zettelkasten/Generic), automated research loops, canvas management, pre-commit auditing, and health checks — enabling compounding knowledge that survives across sessions and projects.
Run an autonomous research loop on a topic. Searches the web, synthesizes findings, and files everything into the wiki as structured pages.
Open, create, or update a visual canvas — add images, text, PDFs, wiki pages, and banana-generated assets to Obsidian canvas files.
Save the current conversation or a specific insight into the wiki vault as a structured note.
Bootstrap or check the claude-obsidian wiki vault. Reads the wiki skill and runs setup workflow.
Pre-commit audit specialist. Dispatched by a workstream owner AFTER staging changes but BEFORE committing. Reads the staged diff plus every precedent file the diff touches; applies the /best-practices six-cut engineering kernel and the agent kernel; returns findings in four tiers (BLOCKER / HIGH / MEDIUM / LOW) with file:line citations and recommended fixes. Closes the loop the v1.7 audit revealed: code went worker → commit with no separate verifier pass, which is exactly how BLOCKER B1 (data-egress consent gap) slipped through. <example>Context: Owner has staged a refactor across 4 files and wants a second opinion before committing. user: "Verify the staged diff before I commit." assistant: "I'll dispatch the verifier agent against the staged diff." </example> <example>Context: Owner finished a feature workstream and is about to cut a commit. user: "Run the verifier on this slice." assistant: "Dispatching the verifier with the workstream context." </example>
Parallel batch ingestion agent for the Obsidian wiki vault. Dispatched when multiple sources need to be ingested simultaneously. Processes one source fully (read, extract, file entities and concepts, update index) then reports what was created and updated. Use when the user says "ingest all", "batch ingest", or provides multiple files at once. <example>Context: User drops 5 transcript files into .raw/ and says "ingest all of these" assistant: "I'll dispatch parallel agents to process all 5 sources simultaneously." </example> <example>Context: User says "process everything in .raw/ that hasn't been ingested yet" assistant: "I'll use wiki-ingest agents to handle each source in parallel." </example>
Comprehensive wiki health check agent. Scans for orphan pages, dead links, stale claims, missing cross-references, frontmatter gaps, and empty sections. Generates a structured lint report. Dispatched when the user says "lint the wiki", "health check", "wiki audit", or "clean up". <example>Context: User says "lint the wiki" after 15 ingests assistant: "I'll dispatch the wiki-lint agent for a full health check." </example> <example>Context: User says "find all orphan pages" assistant: "I'll use the wiki-lint agent to scan for pages with no inbound links." </example>
Autonomous iterative research loop. Takes a topic, runs web searches, fetches sources, synthesizes findings, and files everything into the wiki as structured pages. Based on Karpathy's autoresearch pattern: program.md configures objectives and constraints, the loop runs until depth is reached, output goes directly into the knowledge base. Triggers on: "/autoresearch", "autoresearch", "research [topic]", "deep dive into [topic]", "investigate [topic]", "find everything about [topic]", "research and file", "go research", "build a wiki on".
Visual layer of the wiki. Add images, text cards, PDFs, and wiki pages to Obsidian canvas files with auto-positioning inside zones. Integrates with /banana for image capture. Triggers on: /canvas, canvas new, canvas add image, canvas add text, canvas add pdf, canvas add note, canvas zone, canvas list, canvas from banana, add to canvas, put this on the canvas, open canvas, create canvas.
Strip clutter from web pages before ingesting into the wiki. Removes ads, navigation, headers, footers, and boilerplate: leaving clean readable markdown that saves 40-60% tokens. Triggers on: defuddle, clean this page, strip this url, fetch and clean, clean web content before ingesting, strip ads, remove clutter, clean URL content, readable markdown from URL.
Create and edit Obsidian Bases (.base files): Obsidian's native database layer for dynamic tables, card views, list views, filters, formulas, and summaries over vault notes. Triggers on: create a base, add a base file, obsidian bases, base view, filter notes, formula, database view, dynamic table, task tracker base, reading list base.
Write correct Obsidian Flavored Markdown: wikilinks, embeds, callouts, properties, tags, highlights, math, and canvas syntax. Reference this when creating or editing any wiki page. Triggers on: write obsidian note, obsidian syntax, wikilink, callout, embed, obsidian markdown, wikilink format, callout syntax, embed syntax, obsidian formatting, how to write obsidian markdown.
Modifies files
Hook triggers on file write and edit operations
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Uses power tools
Uses power tools
Uses Bash, Write, or Edit tools
Uses Bash, Write, or Edit tools
Claude + Obsidian knowledge companion and self-organizing AI second brain. A running AI notetaker that builds and maintains a persistent, compounding wiki vault. Every source you add gets integrated. Every question you ask pulls from everything that has been read. Knowledge compounds like interest.
Open-source Obsidian AI plugin for AI note-taking, personal knowledge management (PKM), second-brain workflows, and a private Notion alternative. 15 Claude Code skills, multi-agent support, multi-writer safe (v1.7+), first-class methodology modes (LYT / PARA / Zettelkasten / Generic via v1.8), and the 10-principle thinking framework (v1.9). Based on Andrej Karpathy's LLM Wiki pattern.
Two ways to get this skill. Pick the one that fits how you work.
- 🌐 Public open-source build (latest:
v1.9.2, recommended): the free, MIT-licensed release on Daniel Agrici's GitHub. Open to anyone, no membership required. Ships everything: v1.7 Compound Vault, v1.8 methodology modes, and the v1.9 thinking framework plus audit hardening.- ⚡ AI Marketing Hub Pro: the same MIT-licensed core, plus earliest access to in-development features before they land here, direct collaboration, and the Pro community. Pro members install from the AI Marketing Hub org mirror (swap note under Option 2 below).
✨ v1.7 "Compound Vault" refoundation: Obsidian CLI as default transport, hybrid retrieval (contextual prefix + BM25 + cosine rerank per Anthropic's Sept 2024 research), per-file advisory locking that closes a latent multi-writer corruption hole, and substrate alignment with kepano/obsidian-skills. Full guide: docs/compound-vault-guide.md. Optional DragonScale Memory extension (log folds, deterministic page addresses, semantic tiling lint, boundary-first autoresearch).
Comprehensive SEO analysis plugin for Claude Code. 25 sub-skills (21 core + 1 orchestrator + 1 framework + 2 extension mirrors) and 18 sub-agents cover technical SEO, content quality, schema, sitemaps, Core Web Vitals, local SEO, backlinks, AI/GEO, ecommerce, hreflang, SXO, clustering, drift monitoring, and Google APIs. Includes optional MCP extensions, SPA-aware rendering, portability, and hardened SSRF/DNS-rebinding safe fetchers.
Multi-host paid advertising audit & optimization skill conforming to the Agent Skills open standard. Verified on Claude Code; experimental on Codex CLI, Cursor, Windsurf, Gemini CLI, Goose. 250+ checks across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple & Amazon Ads with weighted scoring, parallel agents, 12 industry templates, AI creative generation, PPC math, A/B test design, PDF reports, attribution + server-side tracking deep dives, and a 41-test pytest eval harness.
AI-powered blog skill suite with 30 sub-skills and 5 agents. FLOW framework integration (Find/Optimize/Win, 30 evidence-led prompts), semantic topic-cluster planning + execution, multilingual publishing (translate/localize/locale-audit), Google API integration (PageSpeed, CrUX, GSC, GA4, YouTube, NLP, Keywords), YouTube video embedding, persona-driven writing, two-tier AI slop detection, 0-4 editorial heuristics rubric, cognitive-load assessment, durable BRAND.md + VOICE.md context, API-free last-30-days discourse research, 5-dimension research quality rubric, 6-LAW synthesis contract, fact-checking, cannibalization detection, CMS taxonomy sync, NotebookLM research, Gemini TTS audio narration, 5-category scoring, and Gemini image generation. Optimized for Google rankings and AI citations (GEO/AEO).
AI image generation Creative Director powered by Google Gemini Nano Banana models. Claude interprets intent, selects domain expertise, constructs optimized prompts, and orchestrates Gemini for best results.
AI-powered cybersecurity code review with 8 specialist agents, OWASP Top 10:2021, CWE Top 25:2024, MITRE ATT&CK v15, and framework-aware false-positive suppression
npx claudepluginhub agricidaniel/claude-obsidian --plugin claude-obsidianPersistent, 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.
Bidirectional knowledge flow between Claude Code and Obsidian — 20 MCP tools, skills, and hooks for PKM
Build and maintain LLM-powered knowledge bases as Obsidian wikis with compile, query, lint, and evolve workflows
LLM Wiki — persistent, compounding knowledge base inside Obsidian. Ingest, compile, query, lint, and remove knowledge base wikis. Based on Karpathy's LLM Wiki pattern.
Self-improving learning loop across Claude sessions — retrieval, capture, consolidation, and cross-project transfer
Kit completo de skills pra transformar uma pasta em vault Obsidian profissional + dashboard local com ML. 6 skills: init (scaffold), librarian (cura contínua), migrate (adoção não-destrutiva), organizer (clusters/duplicatas), expand (notas-ponte via LLM restrito), pulse (dashboard localhost com FSRS, recommendations, anomalies). 100% local, privacy-first, pt-br.