LLM Wiki
Plugin Verified ActiveTurn Claude Code + Obsidian into a second brain. The LLM incrementally ingests sources into a persistent, interlinked markdown wiki — building entity/concept/source pages, flagging contradictions, maintaining an index and log. Knowledge compounds instead of being re-derived by RAG on every query. Inspired by Karpathy's LLM Wiki gist. Ships SKILL, 3 sub-agents, 5 slash commands, 8 Python tools (stdlib only), full vault templates, and cross-tool compatibility (Claude Code, Codex CLI, Cursor, Antigravity, OpenCode, Gemini CLI).
To provide a disciplined and compounding knowledge management system, turning an LLM and Obsidian into a 'second brain' where knowledge accumulates and is actively maintained.
Features
- Incremental source ingestion into a persistent wiki
- Automatic entity/concept page creation and updates
- Flagging and management of contradictions
- Maintenance of an interlinked knowledge graph and log
- Compounding knowledge over time, reducing RAG reliance
Use Cases
- Building a personal knowledge base for research, journaling, or self-improvement.
- Creating a companion wiki for books or research papers.
- Developing an internal team knowledge base from meeting notes and articles.
- Tracking evolving theses or complex topics over time.
Non-Goals
- Replacing all RAG workflows (it complements RAG at scale).
- One-shot Q&A over fixed documents (use RAG for this).
- Managing knowledge without user curation or Obsidian integration.
Workflow
- Initialize vault (`/wiki-init`)
- Add source file to `raw/` directory
- Ingest source (`/wiki-ingest <path>`)
- Discuss and confirm LLM's proposed changes
- Query the wiki (`/wiki-query <question>`)
- Optionally file query answers back into wiki
- Periodically run health checks (`/wiki-lint`)
- Review wiki log (`/wiki-log`)
Practices
- Knowledge compounding
- Incremental knowledge base maintenance
- LLM-assisted wiki curation
- Source integrity and contradiction flagging
Prerequisites
- Obsidian installed and configured.
- Python 3.x with standard library.
- Claude Code or compatible LLM CLI (Codex, Cursor, etc.).
Installation
First, add the marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install llm-wiki@claude-code-skillsQuality Score
VerifiedTrust Signals
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