nvk

nvk / llm-wiki

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A Claude Code plugin for building LLM-compiled knowledge bases. Ingest sources, compile interconnected markdown articles, query, lint, research, and generate outputs — all from Claude Code. Optionally view in Obsidian.

llm-wiki.net agentic-ai agentic-skills agentic-workflow claude-code codex
133
10
100% credibility
Found Apr 06, 2026 at 93 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A plugin for AI coding tools that automates creating, researching, querying, and outputting from topic-specific markdown knowledge wikis.

How It Works

1
💡 Discover llm-wiki

You stumble upon a cool tool that lets your AI helper build custom encyclopedias on any topic you care about.

2
🔧 Set it up easily

You add the tool to your AI assistant with a quick install, and everything is ready to go.

3
📚 Pick your topic

Choose something fascinating like nutrition or gut health to dive into.

4
🔍 Launch the research

Your AI sends out teams of virtual researchers to gather info from every angle, building a knowledge web automatically.

5
❓ Ask away

Chat with your new encyclopedia, getting quick facts or deep insights on any question.

6
📤 Make cool stuff

Turn your knowledge into reports, summaries, or slides whenever you need them.

🎉 Own your wisdom

Celebrate having a growing, personal guide that makes you an expert on your topics.

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AI-Generated Review

What is llm-wiki?

llm-wiki is a Claude Code GitHub plugin that turns raw sources into interconnected markdown knowledge bases, all via simple slash commands like `/wiki:research "gut microbiome"` or `/wiki:query "fiber mood effects"`. It ingests URLs, files, or text; compiles synthesized articles with cross-links and confidence scores; supports parallel research agents, thesis verification, linting, and output generation like reports or slides—optionally viewable in Obsidian. Download and install the free Claude Code plugin with `/install-plugin github:nvk/llm-wiki` for an llm wiki in English that solves scattered research by building focused, queryable wikis on any topic.

Why is it gaining traction?

It stands out with one-command deep dives using 5-10 parallel agents (academic to contrarian), thesis-driven claims with anti-bias rounds, and modes like `--retardmax` for aggressive ingestion or `--min-time 2h` for iterative research. Unlike basic scrapers, it auto-compiles clean articles, handles multi-wiki peeks, and integrates Claude GitHub skills for repo assessments—making Claude Code pricing worthwhile for heavy users seeking structured outputs over raw chats.

Who should use this?

Claude Code users researching niches like nutrition, biotech theses, or "viral article playbooks"; indie devs assessing repos against market wikis via `/wiki:assess`; or writers needing quick glossaries, timelines, and gap analyses from scattered sources.

Verdict

Early alpha with 17 stars and 1.0% credibility score—docs are solid but expect bugs in edge cases like long runs. Worth a spin if you're deep into Claude Code GitHub integration or llm wiki english workflows; fork and contribute to mature it.

(198 words)

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