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llm-obsidian-wikiLLM Obsidian wiki 搜索

Agent Skill

llm-obsidian-wiki 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

388

周安装

16

GitHub Stars

13

下载量

127
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:llm-obsidian-wiki(LLM Obsidian wiki 搜索)
来源仓库:https://github.com/ignromanov/llm-obsidian-wiki
仓库路径:skills/llm-obsidian-wiki
安装命令:
npx skills add https://github.com/ignromanov/llm-obsidian-wiki --skill llm-obsidian-wiki
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/ignromanov/llm-obsidian-wiki --skill llm-obsidian-wiki

简介

llm-obsidian-wiki 用于查找、检索和筛选相关信息。

  • 适合根据关键词、任务场景或来源线索快速定位候选结果。
  • 可在 Codex、Claude、Cursor、Gemini CLI 中用于信息调研场景。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

LLM Obsidian Wiki

Karpathy's LLM Wiki pattern — as a Claude Code plugin. Turn Claude into a researcher that remembers, backed by an Obsidian vault that grows smarter every session.

In his original gist, Andrej Karpathy sketched a simple but powerful idea: an LLM-maintained personal wiki where knowledge is compiled once, cross-linked, and kept current — so the LLM never re-derives what it's already learned. This plugin is a faithful implementation of that pattern, weaponized for Claude Code and built on top of Obsidian.

Every conversation with an LLM normally starts from zero. You paste the same context. You re-explain the same decisions. Your research dies in closed browser tabs. llm-obsidian-wiki fixes this by giving Claude a persistent, file-based memory that survives across sessions — structured as a plain-text Obsidian vault you can read, edit, git-version, and grep yourself. It's a second brain Claude actively maintains — a zettelkasten where the LLM does the filing, cross-linking, and drift detection for you.

Live Example

You:     Research auth options for my Next.js app and write it up.

Claude:  [wiki-capture-agent]  → pulls 5 blog posts, 2 GitHub READMEs,
                                 1 YouTube talk into raw/external/
         [wiki-ingest-agent]   → synthesizes typed wiki pages:
                                 wiki/concepts/nextjs-auth-patterns.md
                                 wiki/comparisons/nextauth-vs-clerk-vs-supabase.md
                                 wiki/entity/better-auth.md
                                 wiki/open-questions/session-cost-past-10k-mau.md
         [regenerate]          → updates index.md + domain hub pages

         Done. 4 pages created, cross-linked with [[wikilinks]] and citations
         to raw sources. Confidence: medium (2+ corroborating sources).

─── A week later, new side project ───

You:     Which auth library should I use for this new Next.js app?

Claude:  [wiki-query] → reads wiki/comparisons/nextauth-vs-clerk-vs-supabase.md
                      → reads wiki/decisions/clerk-for-side-projects.md

         Clerk, if you want zero config and $0/month under 10k MAU — it ships
         social login, magic links, and organizations out of the box. Use
         NextAuth if you need full control of the DB schema. Avoid Supabase Auth
         unless you're already on Supabase for data. See [[clerk-for-side-projects]]
         for the full rationale. The open question [[session-cost-past-10k-mau]]
         still applies to this project too.

Notice what happened: Claude didn't re-research. It read its own structured notes in the Obsidian vault and answered with citations. That's the Karpathy compounding loop — knowledge compiled once and kept current, not re-derived on every query.

What You Get

Skills (8)Autonomous Agents (5)
/wiki:init — scaffold a new Obsidian vaultwiki-capture-agent — batch source capture
/wiki:capture — collect URL/PDF/GitHub/YT/git-logwiki-ingest-agent — autonomous page synthesis
/wiki:ingest — compile raw into typed wiki pageswiki-query-agent — deep research + file-back
/wiki:query — ask with citations + synthesiswiki-lint-agent — health + source drift detection
/wiki:browse — load domain contextwiki-migrate-agent — schema version upgrades
/wiki:lint — orphans, staleness, contradictions
/wiki:status — metrics + unprocessed queue
/wiki:migrate — apply schema migrations

Plus 17 portable bash utilities, a shared scripts/lib/ helper library, 10 page-type templates (concept / entity / decision / strategy / comparison / synthesis / open-question / architecture / org / source-summary), and a versioned schema with migrations.

How It Works

Three layers with strict data flow and clear ownership inside the Obsidian vault:

raw/                 →    wiki/                  →    query
(immutable sources)       (structured knowledge)       (cited synthesis)

• URLs + HTML             • concepts                   • "What did we decide?"
• PDFs                    • decisions (ADR-style)      • "What contradicts X?"
• GitHub PRs + issues     • comparisons                • Cross-page research
• YouTube transcripts     • synthesis pages            • Citation-backed answers
• Git logs                • open questions
• Clipboards              • organizations

Raw is append-only source material with SHA-256 provenance tracking. Wiki holds LLM-maintained pages with YAML frontmatter, tags, [[wikilinks]], confidence scores, and typed relations (contradicts, supports, evolved_into, depends_on). Query reads the wiki — never raw sources directly — and answers with [[wikilink]] citations you can click through in Obsidian.

Contradictions surface as > [!warning] callouts with explicit relations.type: contradicts entries. Drift between raw and wiki is detected automatically by wiki:lint via hash comparison. Schema migrations travel with the plugin version, so upgrading the plugin upgrades your vault.

Why This Exists

Other tools give Claude retrieval. The Karpathy LLM Wiki pattern gives Claude memory with structure:

  • vs raw RAG — you get typed pages (concept / decision / comparison / open-question) instead of opaque chunks. LLM-navigable, human-auditable.
  • vs Notion AI — files live in your Obsidian vault as markdown. Edit in Obsidian, git-version them, grep them, take them offline.
  • vs plain Obsidian — the LLM maintains the structure for you: creates wikilinks, reuses tags, tracks confidence, detects contradictions, migrates schemas.
  • vs other Obsidian plugins — ships both interactive skills AND autonomous agents for batch research and long-running synthesis.

This is personal knowledge management (PKM) for the LLM era — Karpathy's llm-wiki concept meeting the zettelkasten method, with Claude as the patient filer and Obsidian as the durable substrate.

Install

# Via Claude Code marketplace
/plugin marketplace add ignromanov/llm-obsidian-wiki
/plugin install llm-obsidian-wiki@ignromanov

# Or local install
claude --plugin-dir /path/to/llm-obsidian-wiki

Then:

/wiki:init                              # scaffold a new Obsidian vault
/wiki:capture https://example.com/post  # capture a source
/wiki:ingest                            # compile raw into wiki pages
/wiki:query "what did we decide?"       # ask with citations

What's New in v0.3.0

  • Security hardeningcapture-url.sh rejects non-https schemes and private/loopback IPs; shell injection fixed in capture and create scripts; prompt-injection defense added to the ingest agent
  • Vault contractwiki.config.md now requires both vault_name (for the Obsidian CLI) and vault_path (for scripts)
  • New /wiki:migrate skill — upgrades existing vaults between plugin versions
  • Shared bash libraryscripts/lib/ with portable helpers for YAML reading, SHA-256 hashing, and dependency checks
  • Linux portability — migration scripts now work on both macOS and Linux

Ideal For

Engineering decision tracking (ADRs), competitive landscape research, long-running projects that span months, founders tracking market intelligence, researchers building annotated bibliographies, teams who want every Slack discussion to settle into a durable note, and anyone tired of re-explaining the same context to Claude every Monday morning.

Philosophy

  • Privacy > features — everything lives on your disk, nothing leaves your machine
  • Files > databases — plain markdown, editable in any tool, greppable forever
  • Compound > retrieve — compile knowledge once, keep it current, never re-derive
  • Typed > chunkedconcept / decision / comparison beats opaque embeddings

Learn More


*Keywords: karpathy llm wiki, llm-wiki, obsidian plugin, claude code plugin, knowledge base, compounding knowledge, second brain, zettelkasten, pkm, personal knowledge management, long-term memory for llm, llm memory, research assistant, obsidian vault, structured notes, markdown knowledge base, rag alternative, typed pages, note-taking with ai.*

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能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.37%
按下载量换算47

Claude

31.3%
按下载量换算40

Cursor

16.41%
按下载量换算21

Gemini CLI

9.71%
按下载量换算12

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Snyk

可疑

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操作浏览器

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安装前确认

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