
Wiki Ingest
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-codeInstalls 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