LLM Wiki Compiler — AI skill for Claude Code

LLM Wiki Compiler

A Claude Code plugin that compiles knowledge into a topic-based wiki — from scattered markdown files **or entire codebases**. Reduce context costs by ~90% and give your agent a synthesized understanding of any project.

**[Documentation](https://saydo-5cd0e3d7.mintlify.app/)**

What's New in v2.0

• Codebase mode — generate wikis from code repositories, not just markdown files
• Auto-detection — /wiki-init detects whether you're in a codebase or knowledge project
• Knowledge graph visualization — interactive canvas-based graph of your wiki



Inspiration

This plugin implements the **LLM Knowledge Base** pattern described by [Andrej Karpathy](https://x.com/karpathy/status/2039805659525644595):

*"Raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM."*

The key insight: instead of re-reading hundreds of raw files every session, have the LLM compile them into topic-based articles once, then query the synthesized wiki. Knowledge compounds instead of fragmenting.

What It Does

You have 100+ files across meetings, strategy docs, codebases, and research. Every Claude session re-reads them. This plugin compiles them into topic-based articles that synthesize everything known about each subject — with backlinks to sources.

**Before:** Read 13+ raw files (~3,200 lines) per session **After:** Read INDEX + 2 topic articles (~330 lines) per session


How It Works

flowchart LR
    subgraph Sources["📁 Raw Sources (you own)"]
        M1["meetings/"]
        M2["strategy/