Turns any text you throw at it into a structured wiki with automatic cross-referencing and categorization. Point it at articles, docs, or notes and it extracts concepts, products, and patterns into separate pages under `wiki/`, then links everything together. It won't duplicate pages or cram multiple ideas into one file, which is the main thing that kills most personal knowledge bases. Updates are append-only so you don't lose context. The comparison and pattern extraction is legitimately useful if you're trying to make sense of technical research or architecture decisions across multiple sources.

skills.sh installs
627
GitHub stars
3.8K
last updated
Jul 14, 2026

Install

$ npx -y skills add sanyuan0704/code-review-expert --skill wiki-ingest --agent claude-code

Installs into .claude/skills of the current project.

Files

Wiki Ingest — Knowledge Base Compiler

Compile any text content (articles, documents, notes) into structured wiki pages with cross-references, building a searchable, interconnected knowledge network.

IRON LAW: One wiki page = one knowledge entity. Never cram multiple concepts into one page.

Wiki Directory Structure

Wiki defaults to wiki/ under the current project root. User may specify a different path.

wiki/
├── index.md              # Full table of contents
├── log.md                # Append-only operation log
├── concepts/             # Core concept pages
├── products/             # Product/tool entity pages
├── patterns/             # Engineering patterns & design decisions
└── comparisons/          # Cross-topic comparison pages

Workflow

1. Confirm Input

Accept user-specified content source:

  • Pasted text directly
  • File path(s) (md, txt, pdf, etc.)
  • Directory path (batch processing)

If user doesn't specify a wiki path, use wiki/. Create the directory if it doesn't exist.

2. Check Existing Wiki

Read wiki/index.md (if exists) to understand existing pages and avoid duplicates.

3. Extract Knowledge Entities

Sponsors

Details

Repository
github.com/sanyuan0704/code-review-expert
Categories
Git & Pull Requests, Documentation, Code Review & Quality
First seen
Jun 3, 2026

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